Descartes Systems Group has acquired Extensiv for approximately $120 million, significantly expanding its position in third-party logistics, warehouse management and e-commerce fulfillment technology.The deal, announced on September 1, adds Extensiv’s AI-enabled warehouse management and omnichannel fulfillment capabilities to Descartes’ Global Logistics Network.

California-based Extensiv provides technology that helps third-party logistics providers manage inventory, orders, B2B and B2C fulfillment and billing across connected sales channels, e-commerce platforms, marketplaces and carrier networks.

Descartes says the acquisition gives it deeper access to operational fulfillment data that can be used to strengthen AI capabilities for warehouse operators and their customers.

The acquisition also comes only days after Descartes bought AI-powered transportation management provider Tai for $100 million, underlining a broader strategy to build a more integrated logistics technology platform spanning warehousing, transportation, cross-border freight and final-mile delivery

Descartes moves deeper into e-commerce fulfillmentFor 3PLs already using Extensiv, Descartes potentially provides access to a wider set of logistics capabilities.

The long-term value could come from connecting fulfillment more closely with:transportation execution,carrier networks,customs compliance,trade intelligence,shipment visibility,and last-mile delivery.

For a 3PL, that could reduce the need to integrate multiple external vendors.There are also potential advantages in data.If warehouse, transportation and delivery data are shared across a single ecosystem, operators could gain a more complete picture of performance.

That could support better planning and more sophisticated AI-driven decision-making.

The post Descartes Acquires Extensiv for $120 Million to Expand AI-Powered E-Commerce Fulfillment appeared first on Cross-Border Magazine.

Mollie has completed its acquisition of GoCardless, creating a combined European payments and financial services group serving more than 350,000 businesses across over 30 markets.

The deal, originally announced in December 2025, brings together Mollie’s card payments, local payment methods, business accounts and financing capabilities with GoCardless’ expertise in Direct Debit, Pay by Bank and recurring bank payments.

Mollie CEO Koen Köppen will lead the combined group, while GoCardless will continue operating under the name “GoCardless, a Mollie company” and remain under the leadership of co-founder Hiroki Takeuchi. Mollie says maintaining the GoCardless brand reflects the strategic importance of both its existing customer base and its Pay by Bank technology.

Mollie CEO Koen Köppen will lead the combined group, while GoCardless will continue operating under the name “GoCardless, a Mollie company” and remain under the leadership of co-founder Hiroki Takeuchi. Mollie says maintaining the GoCardless brand reflects the strategic importance of both its existing customer base and its Pay by Bank technology.

The completion of the acquisition marks an important step in Mollie’s attempt to build a broader European financial platform capable of handling multiple payment methods, banking services and business financing through a single provider.

Mollie and GoCardless create a broader European payments platform

The strategic logic behind the acquisition is largely based on the complementary nature of the two companies.

Mollie has traditionally focused strongly on merchant acquiring, card payments and local European payment methods.

GoCardless, meanwhile, has built its business around bank-based payments, particularly Direct Debit and open banking-enabled Pay by Bank solutions.

Combining the two creates a platform capable of supporting:card payments,local European payment methods,Direct Debit,Pay by Bank,recurring payments,business accounts,and financing.

When the deal was first announced in December 2025, the companies said the objective was to create a single provider capable of reducing the fragmentation many businesses face when operating several payment and financial platforms simultaneously.

This fragmentation is particularly relevant for international e-commerce businesses.

A merchant expanding across Europe may use one provider for cards, another for local payment methods, another for bank transfers and a separate banking partner for accounts and financing.

Each additional provider can create more integrations, reconciliation work and operational complexity.

More than 350,000 businesses across 30+ markets

The combined group now serves more than 350,000 businesses across more than 30 markets.

That gives the new organisation significant scale across Europe while also expanding its reach internationally.

Mollie has built much of its business around a highly localised European strategy, supporting market-specific payment methods, onboarding requirements and merchant needs.

The post Mollie Completes GoCardless Acquisition, Creating European Payments Group Serving 350,000 Businesses appeared first on Cross-Border Magazine.

SHIP.com has launched two artificial intelligence tools designed to bring agentic commerce into one of the most operationally complex areas of e-commerce: shipping and fulfillment.

The company announced SHIP AI, an AI-powered shipping manager for online sellers, and SHIP MCP, a Model Context Protocol integration that exposes more than 35 shipping capabilities to Claude and other AI applications.

Together, the tools automate tasks such as order analysis, rate comparison, address correction, label preparation, and tracking. They also allow developers to connect AI agents directly to shipping infrastructure. The announcement is significant because much of the recent discussion around agentic commerce has focused on product discovery and payments. SHIP.com is extending the same concept deeper into the physical fulfillment layer.

That means AI agents are moving closer to handling not only what consumers buy and how they pay, but also how those purchases are shipped.

What Is SHIP AI?

SHIP AI is designed to function more like a digital shipping manager than a traditional chatbot. Instead of simply responding to questions, the system can analyze incoming orders and prepare fulfillment work before the seller begins processing shipments.

According to SHIP.com, the system can determine package details, compare shipping options, correct addresses, flag inconsistencies, and prepare multiple orders for shipment simultaneously. Users can also ask the system to update dashboards, run reports and analyze variables such as shipping costs and delivery times.

Joe DiSorbo, founder and CEO of SHIP.com, described the distinction by saying that a general chatbot provides answers, while SHIP AI is designed to perform operational work. The goal is to move sellers away from manually processing every order and toward reviewing work AI has already prepared.

From Manual Processing to AI-Assisted Fulfillment

Shipping remains one of the most repetitive and time-consuming areas of online retail operations. A merchant processing multiple orders may need to verify addresses, calculate package dimensions, compare rates, select carriers, purchase labels and update order information.

SHIP.com says SHIP AI can automate much of that preparation. The company gives the example of a 20-order batch that could take around 25 minutes to process manually. Depending on the level of automation enabled, SHIP.com says the same batch could potentially be prepared in less than a minute with SHIP AI.

That claim is based on the company's own testing and should therefore be treated as a vendor-reported performance example rather than an independent benchmark.

Nevertheless, the broader operational shift matters. The merchant's role shifts from performing each shipping action manually to supervising and approving AI-generated decisions.

Sellers Retain Control Over Financial Decisions

SHIP.com is not presenting SHIP AI as completely autonomous by default. Financial transactions remain under the merchant's control. Purchasing shipping labels, adding insurance or reloading an account balance normally requires seller approval, and the relevant costs are displayed before the transaction is completed.

This human-in-the-loop approach reflects a central challenge facing agentic commerce. Businesses want AI systems to remove repetitive operational work, but financial authority introduces considerably greater risk. SHIP.com's approach lets the AI analyze and prepare decisions while merchants decide how much authority they are willing to delegate.

According to the company, sellers could gradually expand the degree of automation as they become more comfortable with the system.

Early Adoption Suggests Sellers Are Willing to Test AI Shipping

SHIP AI has been available to SHIP.com users since August 11, 2026. The company says that during the first week of beta availability, more than 30% of orders were purchased through SHIP AI.

This figure does not necessarily mean that 30% of all SHIP.com customers have adopted the technology, nor does it demonstrate long-term adoption. However, it provides an early indication that merchants are willing to experiment with AI-driven shipping workflows when those tools are integrated directly into the software they already use.

SHIP is offering the complete AI experience free to users for at least 30 days during the launch period.

SHIP MCP Brings Shipping Capabilities Directly to AI Agents

The second product may ultimately have even larger implications for agentic commerce. SHIP MCP connects SHIP.com's shipping infrastructure to AI applications through Model Context Protocol. MCP is an emerging standard that allows AI systems to connect with external tools, software and data sources.

SHIP.com says its implementation exposes more than 35 shipping capabilities that developers can integrate into AI applications. These capabilities include rating shipments, creating labels, tracking packages, processing order information and managing shipping workflows.

Rather than forcing users to leave an AI environment and manually open separate shipping software, these functions can potentially operate directly inside the AI application.

Claude Users Can Access SHIP.com Shipping Functions

SHIP MCP is available through Claude Desktop CLI and can also be found by searching for SHIP.com within Claude's connector directory. Developers can additionally access the technology directly through SHIP.com when building their own AI applications.

SHIP.com says some early customers have already embedded its capabilities into their own AI applications, enabling orders to be rated, labeled and tracked through those systems. DiSorbo described these integrations as early steps toward fully autonomous agentic commerce.

The distinction matters. SHIP AI primarily focuses on making existing merchant shipping operations more efficient, while SHIP MCP could make shipping itself a machine-accessible service that autonomous AI agents can call.

Agentic Commerce Moves Beyond Checkout

This development reflects a broader shift across e-commerce. Many of the highest-profile agentic-commerce initiatives have concentrated on the early stages of the customer journey. AI agents can increasingly discover products, compare alternatives, recommend purchases and initiate payments. Companies including Stripe, Alipay and major AI providers are already building infrastructure around these interactions.

But purchasing a physical product creates another requirement: the item still needs to leave a warehouse and reach the customer. A genuinely autonomous commerce system eventually needs access to inventory, fulfillment systems, shipping rates, carrier networks, delivery estimates, labels, tracking information, and returns processes.

SHIP.com is attempting to make part of that logistics infrastructure directly accessible to agents. The emerging agentic-commerce stack could therefore begin to resemble Discovery → Decision → Payment → Fulfillment → Delivery, rather than stopping once the transaction is authorized.

The Logistics Layer Could Become Machine-Readable

Agentic commerce also changes the way logistics technology needs to function. Most shipping platforms were originally designed for humans. A user logs into a dashboard, reviews orders, chooses a carrier, generates a label, and manages exceptions through a graphical interface.

AI agents require something different. They need structured, programmatic access to shipping capabilities so they can evaluate different options and perform actions automatically. SHIP MCP represents one approach to solving that problem. Rather than requiring an agent to navigate a human-designed web interface, the system exposes specific shipping actions through standardized tools.

That could eventually allow an AI agent to determine that a particular order needs expedited delivery, one carrier offers a better rate, an address needs correcting, or an alternative service would meet the customer's requested delivery date. The agent could then act on that information within predefined limits.

What This Could Mean for E-Commerce Sellers

For merchants, the immediate benefit is operational efficiency. Shipping teams spend a lot of time on repetitive tasks that follow predictable rules. AI systems are particularly well suited to analyzing those workflows and preparing recommended actions.

But the longer-term implications extend further. As agentic commerce develops, merchants may increasingly operate in environments where software agents communicate directly with logistics platforms.

Instead of a human seller manually selecting a shipping method, an AI system could optimize thousands of shipments based on cost, speed, service level, and delivery probability. Smaller merchants could access capabilities that previously required dedicated logistics teams, while larger businesses could use agents to manage significant order volumes and let human employees focus on exceptions and strategic decisions.

AI-Driven Shipping Still Introduces Risk

Autonomous fulfillment also introduces important limitations. SHIP.com's own terms explicitly warn that AI-generated outputs may be inaccurate, incomplete or outdated and may not always reflect current carrier rules or rates.

Users are therefore responsible for reviewing and approving AI-generated outputs, including shipping labels, addresses, rate selections and customs or regulatory classifications. That is particularly important in cross-border commerce. Incorrect customs information, classifications or addresses can result in delays, additional costs or regulatory problems.

SHIP.com's terms also address automated clients such as AI assistants and autonomous agents. Actions carried out by an authorized automated client can be treated as actions taken by the user. As businesses give agents greater authority, questions of accountability will consequently become increasingly important.

Shipping Platforms Could Become Infrastructure for AI Commerce

The most important aspect of SHIP.com's announcement may not be automated label creation itself. It is the idea that AI systems can call logistics capabilities directly. That turns a shipping platform from a traditional software interface into infrastructure that autonomous commerce applications can use.

The same transformation is already occurring elsewhere in e-commerce. Payment companies are building agent-compatible payment mechanisms. Marketplaces and retailers are exposing product information to AI systems. AI platforms are creating tools that allow consumers to discover and purchase products without leaving a conversational interface. Shipping represents another piece of that puzzle.

The Next Phase of Agentic Commerce Reaches the Warehouse

Agentic commerce has often been presented primarily as a change to the shopping experience. Consumers tell an AI assistant what they want, and the assistant searches for the best option. But commerce does not end when the shopper presses, or no longer presses, the checkout button. Orders still need to be processed, packed, shipped, tracked, and delivered.

SHIP.com's new tools show how AI agents are beginning to move into that operational layer. SHIP AI focuses on automating the work merchants currently do inside shipping software. SHIP MCP goes one step further by allowing external AI applications to interact directly with shipping capabilities.

If this model expands, logistics platforms could increasingly become invisible infrastructure behind AI-driven commerce. The customer may interact with an AI assistant, the merchant may approve only exceptions, and software agents could manage much of what happens between the purchase and the doorstep.

For e-commerce, that would mark an important evolution in agentic commerce: from automating the transaction to automating its fulfillment as well.

The post SHIP.com Brings Agentic Commerce Into E-Commerce Fulfillment With New AI Shipping Tools appeared first on Cross-Border Magazine.

Amazon has officially brought its Prime Air drone delivery service to UK customers, marking the first time the company has expanded its drone-based last-mile network outside the United States.

The service is operating from Amazon’s 465,000-square-foot fulfillment center in Darlington, England, where eligible customers within a roughly 7.5-mile (12 km) radius can have selected products delivered by autonomous MK30 drones.

Amazon says orders can arrive in 60 minutes or less, with some deliveries potentially completed in around 30 minutes. Millions of products are eligible provided they meet the drone’s size and weight restrictions. The launch is a major milestone for Amazon’s long-running Prime Air project and comes as the company also dramatically accelerates the service in the United States.

Amazon now plans to make Prime Air available across nearly 500 US cities and towns by the end of 2026, transforming what was once a limited experimental program into a potentially significant component of its last-mile network.

Darlington becomes Amazon’s first Prime Air location outside the US

Amazon first announced plans to bring Prime Air to the UK in 2023. Darlington was subsequently selected as the company's first British location, with the fulfillment center confirmed as the proposed base in January 2025.

Drone flights began from the site in early 2026, and Amazon now confirms it is delivering parcels to customers from Darlington. According to Amazon, Darlington is the first Prime Air site anywhere outside the United States. The development therefore represents more than another regional delivery experiment.

It is the first international expansion of Amazon's drone logistics model. John Boumphrey, Amazon UK Country Manager, said the launch demonstrates how the company continues to develop new ways to make deliveries faster and more convenient.

Amazon's wider strategy increasingly revolves around shortening the physical distance between inventory and consumers. Prime Air provides an additional option at the extreme end of that strategy: moving lightweight orders directly from a fulfillment center to a customer's property by air.

How Amazon Prime Air works in the UK

Prime Air deliveries in Darlington use Amazon's latest MK30 drone. The aircraft stands about five feet tall, has a wingspan of about five and a half feet, and can carry packages weighing up to five pounds, or about 2.2 kg.

To qualify, a product must also be small enough to fit inside Prime Air's specially designed packaging, roughly the size of a large shoebox. Eligible customers can select drone delivery during the normal Amazon checkout process. Amazon then uses satellite imagery, mapping technology, and AI to identify suitable delivery areas around the customer's property.

Customers currently need access to an appropriate outdoor area such as a: garden, yard, or driveway.

The customer selects the proposed delivery zone digitally without requiring a physical property inspection beforehand. Once the order reaches the Darlington facility, Amazon's existing fulfillment robotics help move the product through the warehouse before it is packed for Prime Air.

An employee then performs a pre-flight inspection, installs a charged battery and loads the package onto the drone. The aircraft subsequently completes most of the delivery autonomously.

The MK30 is designed for autonomous last-mile delivery

The MK30 represents Amazon's latest generation of delivery drone. It uses onboard perception, navigation and detect-and-avoid technology to identify aircraft, obstacles, people and other hazards while flying.

Amazon says the system allows the drone to make safety decisions independently during a mission. The drones operate using Beyond Visual Line of Sight technology, or BVLOS.

This is particularly important because large-scale drone delivery would not be practical if an operator had to maintain direct visual contact with every aircraft throughout the entire route.

The Darlington operational model envisages drones traveling from Amazon's MME1 fulfillment center toward qualifying customers while generally remaining below 400 feet above ground level. Flight planning also accounts for designated no-fly areas and outdoor concentrations of people.

The UK rollout remains closely connected to CAA trials

Although customers are already receiving packages, Prime Air's UK expansion remains closely linked to the development of Britain's regulatory framework for commercial drones.

The UK Civil Aviation Authority has selected Amazon Prime Air as one of six projects participating in trials designed to develop safe Beyond Visual Line of Sight operations.

The regulator is gathering data on areas including: detect-and-avoid capabilities, electronic visibility, interaction with other aircraft, air traffic control integration, and safe operation in shared airspace. This distinction is important.

Prime Air is already delivering parcels to real customers, but the regulatory structure that would allow these operations to be scaled routinely across Britain is still evolving.

The CAA's longer-term objective is to enable routine BVLOS drone operations in UK airspace, with its roadmap targeting broader implementation from 2027.

Amazon has received approval to operate its drones

Amazon says the MK30 has received Civil Aviation Authority approval to conduct its current operations in Darlington. The wider program nevertheless operates within a tightly controlled aviation environment.

CAA documentation shows that Amazon has been working through the regulator's sandbox process to test how unmanned aircraft can eventually transition from segregated or specially managed airspace into normal shared airspace.

Amazon's proposed operational area also includes mechanisms allowing emergency aircraft to take priority. Prime Air operations are expected to stop when emergency-service aviation, such as police helicopters or helicopter emergency medical services, requires access to the relevant airspace.

This illustrates one of the central obstacles facing drone delivery at scale. The aircraft themselves may already be technically capable of autonomous operations. The harder problem is safely integrating potentially thousands of delivery drones into airspace already used by helicopters, aircraft, emergency services and other drones.

Amazon is rapidly scaling Prime Air in the United States

The UK launch comes alongside Amazon's most aggressive Prime Air expansion to date.

The company says it intends to serve nearly 500 cities and towns in the United States by the end of 2026, compared with a relatively small number of operating locations previously.

Prime Air is already operating around cities including:

Phoenix,
Tampa,
Kansas City,
Omaha,
Baton Rouge,
Detroit,
Houston,
San Antonio,
Dallas,
and Waco.

Amazon also plans to launch operations around Chicago, Syracuse, Cleveland, Atlanta and Boise. Each Prime Air location in the US can serve about 175 square miles, according to the company.

Reuters reported that Amazon expects the service to reach approximately 500 US locations by the end of the year, a major increase from the roughly 11 operational sites existing when the latest expansion was announced. This scale-up makes the Darlington operation particularly relevant.

Prime Air is no longer simply a technological demonstration. Amazon is attempting to turn drone delivery into a repeatable logistics model.

Hundreds of thousands of drone deliveries in 2026

Amazon says Prime Air has already delivered hundreds of thousands of packages during 2026, with individual sites now completing thousands of deliveries each day. That marks a significant shift from the program's early years.

Amazon founder Jeff Bezos first publicly demonstrated the Prime Air concept in 2013. For much of the following decade, commercial drone delivery remained limited by aircraft technology, aviation regulation, operational complexity and local concerns. The latest expansion suggests Amazon believes several of those barriers are beginning to fall.

Why drone delivery matters for e-commerce

The core advantage of drone delivery is speed. Conventional last-mile logistics requires packages to be consolidated into vans, driven along delivery routes and delivered sequentially to dozens or hundreds of addresses.

A drone can potentially bypass much of that route structure. Once an order is processed, the aircraft can travel directly from the fulfillment facility to the customer. For lightweight, urgent items, the resulting delivery time can approach that of a trip to a local store.

That makes drone delivery particularly relevant for products such as: small electronics, household essentials, beauty products, office supplies, health-related items, and other lightweight goods.

Amazon says millions of products are already potentially eligible for Prime Air where the service operates.

Prime Air joins Amazon's wider ultrafast delivery strategy

Drone delivery is only one element of Amazon's increasingly complex last-mile infrastructure. In the UK, Amazon has also introduced Amazon Now, an ultra-fast service offering groceries and household essentials in approximately 30 minutes or less in parts of London.

The company plans to expand Amazon Now into Manchester and Birmingham. The two services solve slightly different logistics problems. Amazon Now relies on inventory positioned in smaller urban fulfillment locations close to consumers. Prime Air instead provides extremely fast transportation for lightweight goods from larger facilities within a defined flight radius.

Amazon could therefore increasingly combine multiple fulfillment models according to: product size, customer location, urgency,
inventory availability, and delivery economics.

The ultimate objective is not necessarily to replace vans with drones. Instead, Amazon is creating additional delivery layers that can handle different types of orders.

Drone delivery still faces practical limitations

Despite its technological appeal, Prime Air has significant limitations. The UK service currently requires customers to live within approximately 12 km of the Darlington facility. Properties must have appropriate outdoor delivery areas. Products must meet strict size and weight limits. Weather conditions can also affect drone operations.

This means Prime Air cannot currently replace conventional parcel delivery for most Amazon orders. Large electronics, furniture, bulk groceries and many other products will continue to require vans or other established transport networks. Amazon's drones are instead likely to complement existing last-mile infrastructure.

Noise, privacy and safety remain concerns

Community acceptance will also determine how quickly drone delivery can scale. Drone operations have faced criticism in some US communities over issues including noise, privacy and safety.

Reuters reported that residents near some planned Prime Air sites have compared the sound of operating drones to equipment such as leaf blowers. Amazon says the latest MK30 aircraft has been specifically designed to reduce noise.

Amazon describes the MK30 as significantly quieter than earlier designs and says its noise level is comparable with conventional delivery activity. But scaling from thousands to potentially millions of flights would inevitably create a different operating environment.

Regulators and local authorities will therefore need to determine acceptable noise, safety and flight-frequency limits as drone delivery becomes more common.

Drone delivery could change last-mile economics

The long-term business case will depend on whether drones can reduce the cost of selected deliveries. Last-mile delivery remains one of the most expensive parts of the e-commerce supply chain. Traditional delivery networks require: drivers, vehicles, fuel or electricity, route planning, local depots, and significant labor.

Autonomous drones potentially reduce some of those costs for lightweight packages. However, they introduce different expenses, including aircraft acquisition, maintenance, batteries, aviation compliance, flight infrastructure and specialist staff.

The most likely future is therefore not a completely drone-based delivery network. Instead, fulfillment platforms may increasingly use algorithms to determine the most efficient delivery method for each individual order. A parcel could be assigned to a van, bike courier, locker, autonomous vehicle or drone depending on its characteristics.

Darlington could become a blueprint for European expansion

Amazon has not yet announced a broad network of Prime Air sites across Europe. Nevertheless, Darlington represents an important test case. If Amazon can demonstrate reliable, safe, and economically viable operations in the UK, the model could potentially be replicated around other fulfillment centers.

Europe's regulatory environment, dense population centers and complex airspace could make expansion more difficult than in some US suburban markets. But the strategic opportunity is substantial.

Amazon already operates an extensive network of fulfillment centers across Europe. Adding drone infrastructure to selected facilities could create ultra-fast delivery zones around those locations without requiring an entirely separate logistics network.

The UK is actively preparing for wider commercial drone operations

The British government is also investing in the wider development of commercial drones. In May 2026, the government announced £46.5 million in support to accelerate drone and advanced-air-mobility regulation, infrastructure, and security systems.

The program includes measures designed to enable commercial drone delivery while also improving systems for identifying unauthorized aircraft. The government has explicitly cited Amazon's Darlington operations when discussing the UK's transition toward more routine commercial drone use. This makes Prime Air part of a broader transformation in British aviation rather than an isolated Amazon experiment.

The last mile is becoming increasingly autonomous

Amazon's UK Prime Air launch highlights a wider trend across logistics. Warehouses are already heavily automated. Robots move inventory through fulfillment centers. Artificial intelligence predicts demand and optimizes inventory positioning. Autonomous systems increasingly manage sorting and packaging. Drone delivery extends automation beyond the warehouse doors. The potential future e-commerce journey therefore becomes increasingly automated from beginning to end:

Order placed → inventory selected → robotic fulfilment → automated sorting → autonomous transportation → customer delivery

Human workers remain central to many parts of that system, but the number of steps that can be performed autonomously continues to increase.

Prime Air enters a new phase

Amazon has spent more than a decade trying to turn drone delivery from a futuristic concept into operational infrastructure. The Darlington launch marks an important milestone in that effort. For the first time, customers outside the United States are receiving real Amazon orders through Prime Air.

At the same time, the company is preparing to scale the service across hundreds of American communities. Substantial barriers remain, including regulation, weather, noise, property suitability, package size, and public acceptance. But Prime Air is moving beyond the experimental phase.

The bigger question is no longer simply whether Amazon can deliver packages by drone. It is whether drone delivery can become reliable, affordable, and scalable enough to earn a permanent place alongside vans, lockers, same-day couriers, and traditional parcel networks. Darlington will provide one of the first major tests of that question outside the United States.

The post Amazon Prime Air Launches Drone Deliveries in the UK as Global Expansion Accelerates appeared first on Cross-Border Magazine.

Walmart’s U.S. e-commerce business continued to outpace its traditional retail operations in the second quarter of fiscal 2027, with online sales increasing 24% year over year as the retailer leaned further into store-based fulfilment, marketplace expansion and faster delivery.

The performance reinforces Walmart’s transformation from a predominantly store-led retailer into a broader omnichannel commerce platform. While comparable U.S. sales increased at a much more modest pace during the quarter, digital channels remained one of the strongest areas of the business.

According to Walmart’s Q2 FY27 results, global e-commerce sales increased 23%, while Walmart U.S. e-commerce grew 24%. Online sales now account for approximately 23% of Walmart U.S. sales, illustrating how central digital commerce has become to the company’s overall retail model.

Fast delivery becomes central to Walmart’s e-commerce strategy

One of the key drivers of Walmart’s e-commerce growth is its growing use of physical stores as fulfillment hubs. Walmart said store-fulfilled delivery increased 40% during the quarter. Rather than depending exclusively on large regional fulfillment centers, the company is increasingly using inventory already located in its thousands of stores to fulfill online orders closer to the end customer.

The approach gives Walmart an important structural advantage in last-mile delivery. Stores historically designed primarily for in-person shopping can increasingly perform multiple roles simultaneously: retail location, pickup point, fulfillment node, and local delivery hub.

This distributed model can shorten the distance between inventory and consumers, allowing Walmart to expand same-day and rapid delivery services while making greater use of an existing physical network. Walmart described strong demand for convenient and fast delivery as one of the principal drivers of its global digital growth during the quarter.

Walmart's physical stores become e-commerce infrastructure

The growing importance of store fulfillment reflects a broader shift across retail logistics. Traditionally, large e-commerce operations concentrated inventory inside dedicated warehouses positioned strategically around a country or region. Walmart is increasingly combining this model with a vast network of stores already located close to population centers.

This creates a distributed fulfillment network. For customers, the visible result is faster delivery. Behind the scenes, however, the model requires much deeper integration between inventory management, order orchestration, store operations and last-mile logistics. Walmart needs to determine in real time whether an online order should be fulfilled from a store, distribution center or another part of its network while simultaneously preserving enough inventory for customers shopping physically.

Successfully coordinating these channels is becoming one of the defining logistical challenges of large-scale omnichannel retail.

Marketplace sales climb more than 50%

Walmart is also seeing strong momentum from its third-party marketplace. The company reported that Walmart U.S. marketplace net sales increased by more than 50% during Q2 FY27. Nearly half of Walmart's marketplace business globally now flows through the company's fulfillment services.

That combination is strategically important. A marketplace lets Walmart expand its product assortment without owning all the inventory being sold. Fulfillment services, meanwhile, enable the company to generate additional revenue by storing, processing and delivering products on behalf of third-party merchants.

The model increasingly resembles the ecosystem strategy that has helped Amazon expand beyond direct retail. Rather than generating revenue only from the final product sale, a marketplace operator can earn revenue across several layers of the transaction, including seller commissions, fulfillment, advertising and membership services.

E-commerce is becoming more important to Walmart's business model

Walmart's digital growth is increasingly connected to several of the company's other strategic priorities. Its Q2 results showed global advertising revenue increasing 38%, while Walmart Connect in the United States grew 43% excluding Vizio. The company has been expanding advertising alongside marketplace, membership and fulfillment services as it seeks to generate more revenue from each customer and merchant interaction.

These businesses are particularly important because many of them can carry higher margins than traditional retail. The result is a commerce ecosystem in which a marketplace transaction can potentially generate revenue from the seller, fulfillment, advertising, and the customer relationship, in addition to the underlying retail transaction.

Walmart highlighted marketplace, fulfillment services, membership, advertising, and other commerce solutions as businesses strengthening the company's economics.

Digital growth stands out amid slower comparable sales

The e-commerce performance was particularly notable because Walmart's broader U.S. retail growth was considerably slower. U.S. comparable sales excluding fuel increased 2.6% during the quarter. Reuters reported that this represented Walmart's slowest comparable-sales growth in approximately six years and fell below market expectations.

Walmart nevertheless raised its full-year sales and profit outlook. The contrasting results underline a key shift within the company: digital commerce is expanding much faster than the traditional store business.

Walmart U.S. e-commerce grew 24%, compared with 2.6% comparable sales growth, while Sam's Club U.S. e-commerce sales increased 26%. Walmart International e-commerce increased another 19%.

The divergence suggests that consumers are not necessarily abandoning Walmart's physical infrastructure. Instead, they are increasingly accessing the same inventory through digital channels.

Walmart continues closing the e-commerce gap with Amazon

Amazon remains the dominant e-commerce operator in the United States, but Walmart possesses an asset that is difficult for digital-native competitors to replicate: an enormous network of stores already positioned close to consumers. Walmart has increasingly treated those locations as logistics infrastructure.

That strategy changes the competitive equation around delivery. Instead of trying to reproduce Amazon's fulfillment network exactly, Walmart can combine dedicated e-commerce facilities with thousands of existing retail locations that can support pickup and local delivery.

The company is therefore competing not only through product pricing and assortment but increasingly through fulfillment speed and convenience. Its continued investment in automation, digital platforms and fulfillment technology is designed to make that network more productive while reducing the cost of serving increasingly demanding online customers.

The economics of rapid delivery remain the key challenge

Fast delivery can improve customer loyalty and conversion, but it also creates significant cost pressures. Picking individual orders from stores, coordinating delivery drivers, and transporting smaller baskets directly to homes can become expensive if order density is insufficient.

Scale is therefore crucial. The more orders Walmart can consolidate within the same geographic area, the easier it becomes to improve route density and spread delivery costs across more transactions. Marketplace growth can help by bringing more products and order volume into Walmart's logistics ecosystem.

Fulfillment services provide another layer of scale by encouraging marketplace sellers to place inventory within Walmart's distribution network. The objective is ultimately not simply to grow online sales, but to make those transactions increasingly profitable.

Walmart noted that its international operating-income growth benefited from improving e-commerce economics, particularly in China, India and Canada, suggesting that digital profitability remains a major focus across the group.

Omnichannel retail increasingly becomes a logistics competition

Walmart's results also illustrate a broader shift within global e-commerce. Competition between major retailers is increasingly determined by logistics capabilities rather than simply website traffic, product selection or pricing.

Consumers now expect accurate inventory visibility, multiple fulfillment options, convenient returns and increasingly rapid delivery. Meeting those expectations requires retailers to connect stores, warehouses, marketplaces and delivery networks into a single fulfillment system.

For retailers with large physical networks, this creates an opportunity. Stores can become strategic assets rather than liabilities in the age of e-commerce, provided their inventory and operations are integrated effectively with digital ordering systems. Walmart's 24% U.S. e-commerce growth suggests that this strategy is gaining momentum.

Walmart is building a broader commerce ecosystem

The longer-term significance of Walmart's digital growth extends beyond online retail sales. The company increasingly resembles a commerce infrastructure provider connecting consumers, merchants, advertisers and logistics services.

Its marketplace provides access to additional assortment. Walmart Fulfillment Services allows merchants to outsource logistics. Walmart Connect monetizes shopper traffic through advertising. Membership programs increase customer loyalty, while its store network provides local fulfillment capacity.

Together, these businesses create an increasingly interconnected commercial ecosystem. Amazon pioneered a similar model in which retail, marketplace services, fulfillment, advertising, and subscriptions reinforce each other. Walmart's advantage is that it can combine those digital capabilities with one of the world's largest physical retail networks.

What Walmart's 24% e-commerce growth means for retailers

Walmart's latest results reinforce one of the most important trends shaping modern retail: the distinction between physical commerce and e-commerce continues to disappear. The company's stores are increasingly becoming components of its digital fulfillment infrastructure, while its online marketplace feeds additional volume into logistics, advertising and fulfillment businesses.

For other retailers, the lesson may be less about matching Walmart's scale than about integrating channels more effectively. Inventory visibility, flexible fulfillment and delivery speed are becoming increasingly important competitive factors.

Walmart's Q2 FY27 results suggest that retailers that can turn physical locations into distributed e-commerce infrastructure may have a significant advantage as consumers increasingly prioritize convenience and faster delivery. For Walmart, the 24% increase in U.S. e-commerce sales is therefore more than another strong digital quarter.

It is further evidence that logistics and fulfillment are becoming central to the company's strategy for competing in the next phase of global e-commerce.

The post Walmart U.S. E-Commerce Sales Jump 24% as Fast Delivery Drives Growth appeared first on Cross-Border Magazine.

By fulfilmentcrowd - International commerce creates an interesting conundrum for fulfilment providers. Customers want global reach, but logistics expertise remains inherently local. For a start, warehouses need to be positioned in the right markets, and carrier and delivery requirements differ by region. And, as brands grow, adding new warehouses and logistics providers can quickly lead to a fragmented supply chain.

One answer is to own more infrastructure. Another is to scale reach through partnerships. The latter sits at the heart of the business model of fulfilmentcrowd – a global fulfilment provider that injects its technology across a range of partner-owned sites worldwide. Importantly, this isn't a traditional outsourced model where independent partners are simply handed responsibility for fulfilment. 

Each Fulfilment Network Partner (FNP) operates within fulfilmentcrowd's established processes, technology and service standards, with performance and SLAs centrally managed and monitored by fulfilmentcrowd’s dedicated Network Team.

It means the physical operation can benefit from local expertise, while customers retain the consistency and control of a single fulfilment model.

Using this controlled network of FNPs, fulfilmentcrowd allows its customers to rapidly expand into new regions and put products wherever demand takes them. One of these FNPs is GDB Logistics, the Netherlands-based logistics specialists that provide forwarding, transport, warehousing, fulfilment and supply chain solutions.

Building a network, not warehouses

The traditional route of expanding a fulfilment network is relatively linear: identify a market, find a site, invest in infrastructure, recruit a team, establish an operation. It works, but it can be expensive and slow. So, instead of building warehouses from scratch, fulfilmentcrowd deploys its in-house platform and operating model within existing infrastructure.

Crucially, joining the network means adopting fulfilmentcrowd's operating processes, rather than continuing to operate as a disconnected third-party provider. FNP teams work within the same framework, with agreed service levels and processes providing a consistent operational standard across the network.

The physical warehouse space may be operated by a local partner, but from the customer’s perspective, it forms part of the same connected fulfilment network. Global orders, inventory and performance remain visible through a single platform, allowing brands to expand internationally without assembling and managing a different technology stack for every market.

This also means expansion doesn't require brands to surrender visibility or control as their fulfilment footprint grows. The network may extend across different operators and countries, but the technology and oversight remain consistent. For growing retailers, it removes a lot of the operational headaches associated with global expansion.

The local knowledge behind international growth

Technology can connect different fulfilment centres, but it’s the local expertise that delivers on the logistical side. This is where fulfilmentcrowd’s FNPs become particularly valuable. A strong network partner already understands its local market: compliance, location, operational knowledge, relationships.

GDB Logistics is a great example of this. The family-owned European logistics provider has more than 85 years of industry experience and operates across many areas of the typical supply chain.

Through the partnership, GDB facilitates fulfilmentcrowd operations in Born (Netherlands) and Leipzig (Germany), helping brands put products closer to their customers throughout the EU. Where fulfilmentcrowd provides the technology and the customer base, GDB concentrates on the physical logistics operation.

Rather than attempting to duplicate one another’s expertise, the partnership is built around knowing what each organisation does best. For fulfilmentcrowd’s customers, the GDB partnership means quick access to strategically important European hubs, reducing delivery times and supporting more competitive cross-border trading.

For GDB, the collaboration provides opportunities with fulfilmentcrowd’s international customer base, allowing the business to extend its reach beyond its traditional operational footprint. “What stands out with GDB Logistics is how closely aligned we are as teams,” says Paul Taylor, fulfilmentcrowd’s Managing Director.

“There’s a shared mindset around performance and continuous improvement, which makes for a natural, effective partnership. It’s a genuinely collaborative working relationship, and that shines through in the service provided to customers on both sides.”

Consistency through a shared operating model

One of the biggest challenges in any multi-partner fulfilment network is ensuring consistency across different locations worldwide.

The fulfilmentcrowd and GDB relationship addresses this through a shared operating framework, underpinned by fulfilmentcrowd’s platform. Across all of its international locations, the fulfilmentcrowd platform provides real-time visibility of inventory, orders and performance – regardless of where fulfilment takes place.

Rather than operating as separate entities, both organisations work within a connected system that standardises processes while still allowing GDB to apply its local expertise in day-to-day warehouse and transport operations.

The technology provides visibility, but control extends beyond the platform itself. Processes, service levels and operational performance are continually managed to ensure the customer receives a consistent fulfilmentcrowd experience – regardless of which network location is handling an order.

This balance is important. Brands benefit from the efficiency and scale of a wider network, while still receiving the reliability and operational quality expected from an experienced local logistics provider.

It also reinforces a key principle of the fulfilmentcrowd model: partnerships aren't about outsourcing isolated functions, but about integrating trusted operators into a unified fulfilment ecosystem.

“fulfilmentcrowd handles the system, brings in customers and does the customer service side. With this setup, it allows us to focus fully on the logistics part,” adds Danny de Koning, Head of Warehousing at GDB Logistics.

Enabling faster, more flexible European growth

For eCommerce brands, the practical impact of this type of partnership is speed and flexibility.

Instead of investing heavily in new infrastructure or managing multiple third-party providers across different countries, brands can scale into European markets through a connected network that already has established operational capability. 

Put simply, brands grow across regions using the same tech they started with.

As demand shifts or grows in new regions, stock can be reallocated within the network without requiring a complete overhaul of fulfilment operations. This creates a more responsive approach to international expansion, where logistics can adapt alongside commercial growth.

In effect, the partnership allows brands to treat Europe less as a collection of separate fulfilment challenges, and more as a single, connected trading environment supported by local execution.

A practical route into European growth

As cross-border eCommerce continues to grow, the ability to enter new markets quickly and efficiently is becoming a key competitive advantage. fulfilmentcrowd and GDB’s partnership demonstrates how this can be achieved in practice. 

By combining established European logistics infrastructure with a connected fulfilment platform, brands can scale into new territories without the traditional barriers of fragmented operations and duplicated systems. For many retailers, this approach offers a more sustainable path to international growth: one that prioritises flexibility, local expertise and operational visibility over heavy upfront investment.

It’s this combination that makes the model particularly relevant for brands looking to expand across Europe in a controlled and scalable way. For a closer look at how the partnership works in practice, read the full story behind the fulfilmentcrowd and GDB Logistics collaboration.

The post Global scale, local expertise: The partnership-led business model that’s changing cross-border fulfilment appeared first on Cross-Border Magazine.

Alipay has launched what it calls China’s first full-stack agentic commerce platform, introducing new infrastructure designed to help merchants shift from conventional digital commerce to operations increasingly managed and accessed by artificial intelligence agents.

The platform was presented at Alipay’s AI Ecosystem Partner Conference and brings together tools that make businesses' products, services, workflows, and payment capabilities accessible to AI agents. According to Alipay, businesses with different levels of AI maturity can adopt different components of the system, rather than building their own agentic-commerce infrastructure from scratch.

The announcement represents another step in the rapid development of agentic commerce in China, where Alipay has already been developing AI-native payment technologies, trust protocols and consumer-facing AI agents.

What is Alipay’s agentic commerce platform?

Traditional e-commerce has largely been designed around humans interacting directly with websites, apps and marketplaces.

Agentic commerce introduces another layer: AI agents that can search, compare, select and potentially purchase products or services on behalf of consumers.

Unlike conventional chatbots, agentic AI systems can interact with external software and perform actions toward a defined objective with limited human supervision.

For merchants, this creates an important technical challenge. A product being visible on a website or searchable through Google does not automatically mean that an AI agent can understand the service, determine whether it is appropriate for the user, and complete the required transaction.

Alipay’s new platform is intended to bridge that gap. The company says merchants without their own AI capabilities can use a one-stop solution to convert product and service processes into tools that AI agents can understand and invoke. Alipay describes these as agent-ready Skills and MCP-based tools.

This could allow merchants to make existing commercial services available through emerging AI interfaces without rebuilding their entire technology stack.

From digital storefronts to AI-accessible businesses

One of the most important implications of agentic commerce is that the traditional online storefront may no longer be the only interface between a consumer and a merchant. Instead of opening several websites and comparing products manually, a consumer could potentially tell an AI assistant:

“Find me the best hotel near my meeting, book it within my budget and pay using my preferred payment method.”

The AI agent would then need to interact with multiple businesses, evaluate availability and pricing, verify relevant information and complete the transaction. For this model to work at scale, merchants need infrastructure that can communicate with those agents.

Alipay is positioning its new platform as part of that infrastructure. Its approach combines merchant services, AI tools, payment capabilities, identity systems, risk controls, and transaction infrastructure to support the entire agent-driven commercial process.

Ah Bao becomes a gateway to Alipay’s AI commerce ecosystem

A major part of Alipay's strategy is Ah Bao, the company’s consumer-facing AI service agent. Launched in June 2026, Ah Bao provides access to more than 10,000 AI-enabled everyday services, Alipay says. Consumers can use natural-language conversations to do everything from paying utility bills and locating electric-vehicle charging stations to booking services.

Alipay is now developing Ah Bao as a gateway connecting consumers with businesses participating in its agentic ecosystem.

This marks an important difference between generative AI assistants that simply recommend a service and systems that can actually complete the requested task.

The commercial opportunity increasingly lies in moving AI from recommendation to transaction.

For merchants, participating in these ecosystems may eventually become as important as optimizing products for search engines or marketplaces today.

Businesses may need to ensure not only that consumers can discover their products, but also that AI agents can understand, compare, and transact with them.

Payments are becoming AI-native

Payments are another essential piece of the agentic commerce model.

Earlier in 2026, Alipay introduced new AI payment infrastructure including AI Wallet and Token Pay, designed to enable transactions involving AI agents and AI-powered applications.

The company has also developed an Agentic Commerce Trust Protocol, intended to establish a standardized framework for interaction between AI systems and service platforms.

The challenge is significant.

Allowing an AI agent to make purchases raises questions about authorization, identity, transaction limits, fraud prevention, and whether the AI's actions accurately reflect the user's intention.

Alipay has therefore built security and trust mechanisms alongside its payment infrastructure, rather than treating AI payments as just another checkout method.

This development is not limited to Alipay's domestic ecosystem.

Alipay+ has also introduced an Agentic Mobile Protocol designed to let AI agents initiate payments through compatible digital wallets while users maintain control over spending intentions, budgets, and security.

The infrastructure supports scenarios where AI agents can transact without requiring consumers to manually open a payment application for every purchase.

Why agentic commerce matters for e-commerce merchants

The arrival of full-stack agentic commerce platforms could eventually change how online businesses approach customer acquisition.

Today, e-commerce companies invest heavily in areas such as:

SEO
marketplace optimization
paid advertising
social commerce
mobile applications
conversion optimization

Agentic commerce could add another requirement: AI discoverability and transactability.

An AI shopping agent needs structured information about products, pricing, availability, delivery, returns and payment options before it can confidently select a merchant.

That means product feeds and APIs could become increasingly important parts of customer acquisition infrastructure.

Commerce may consequently evolve from businesses optimizing primarily for human interfaces toward businesses optimizing simultaneously for humans and machines.

Competition for the AI commerce layer is intensifying

Alipay is not developing agentic commerce in isolation.

Technology companies, payment networks, marketplaces and AI providers are increasingly exploring ways for autonomous AI agents to interact with commercial services.

The strategic question is becoming which platforms will control the infrastructure connecting:

Consumers → AI agents → merchants → payments → fulfillment

The companies controlling those connections could gain significant influence over how products are discovered and transactions are routed.

Alipay already occupies an important position in digital payments and consumer services in China, giving it an existing ecosystem from which to develop an agentic commerce layer.

Its latest platform therefore represents more than the introduction of another AI assistant.

It aims to provide the underlying commercial infrastructure through which AI agents can interact with thousands of businesses.

Agentic commerce still faces major challenges

Despite rapid development, fully autonomous commerce remains an emerging model.

Security is one of the largest concerns.

Recent academic research examining agentic-commerce systems has highlighted potential vulnerabilities at the protocol level, particularly when agents interact with credentials, payment systems and external services.

Merchants and payment providers must also address questions surrounding authorization, liability, refunds and disputes.

If an AI agent buys the wrong product, exceeds a budget or incorrectly interprets a consumer's request, responsibility for that transaction could become difficult to determine.

Reliable identity verification and clear user controls will therefore be critical before highly autonomous purchasing becomes mainstream.

The next phase of e-commerce could be machine-to-business

Alipay’s launch shows how quickly agentic commerce is moving from experimentation to commercial infrastructure. The internet was originally designed for humans to visit websites.

Mobile commerce shifted that interaction toward apps. Marketplaces then centralized product discovery and purchasing within large commercial ecosystems. AI agents could represent the next change in that interface.

Consumers may increasingly describe what they want to achieve, while software agents determine which merchants, products, and services can fulfill that request.For e-commerce businesses, that could ultimately create a new competitive requirement. Visibility may no longer be enough.

Merchants may also need to become visible, understandable and transactable to AI agents. Alipay’s full-stack agentic commerce platform is an early indication of what that future could look like.

The post Alipay Launches China’s First Full-Stack Agentic Commerce Platform appeared first on Cross-Border Magazine.

Alibaba Group has agreed to sell its gaming business Lingxi Games to Asian private equity firm Trustar Capital, marking another significant step in the Chinese technology giant’s strategy to concentrate resources on e-commerce, artificial intelligence and cloud computing.

The transaction involves Alibaba transferring its entire stake in Lingxi Games to Trustar Capital. Reuters reported that the deal is worth more than $2 billion, citing a source familiar with the transaction, although an internal memo confirming the sale did not disclose the final valuation or a closing date.

The divestment reflects Alibaba’s increasingly focused strategy as it redirects capital from businesses it considers non-core to areas it sees as central to its future growth.

Alibaba exits Lingxi Games

Lingxi Games is a Guangzhou-based game developer best known for titles including Three Kingdoms: Strategy Edition, developed in collaboration with Japanese game company Koei Tecmo.

According to reports, Lingxi CEO Zhou Bingshu told employees that Alibaba would transfer full ownership of the company to Trustar Capital. Management and operations are expected to remain largely stable following the acquisition.

Trustar Capital, formerly known as CITIC Capital, emerged as the buyer after reports in early August suggested several potential bidders had been evaluating the gaming company.

The disposal comes after Alibaba spent several years building a presence in China's highly competitive gaming sector. However, gaming has become increasingly peripheral to the group's wider strategic direction.

Instead, Alibaba is consolidating around two areas that management has repeatedly identified as fundamental to the company’s future: commerce and artificial intelligence.

E-commerce and AI become Alibaba's strategic priorities

Alibaba's decision to sell Lingxi is not an isolated restructuring move.

The company formally identified e-commerce and AI technology as its most strategically important directions in 2024, when it reorganized its domestic and international commerce operations under a newly integrated e-commerce business group.

Since then, Alibaba has been reducing its exposure to businesses outside those priorities.

The company previously disposed of non-core retail assets including its holdings in Sun Art and Intime. Alibaba said monetizing these investments would allow it to concentrate resources on developing its core businesses.

Selling Lingxi Games fits directly into that strategy.

Rather than maintaining a broad portfolio spanning retail, entertainment, gaming and other sectors, Alibaba is increasingly positioning itself as a technology and commerce company built around a combination of e-commerce platforms, cloud infrastructure and AI.

Alibaba is spending heavily on AI

The shift is particularly significant because Alibaba is committing enormous amounts of capital to artificial intelligence infrastructure.

In February 2025, the company announced plans to invest at least RMB380 billion, approximately $53 billion at the time, in AI and cloud infrastructure over a three-year period. Alibaba said the investment would exceed its total spending on AI and cloud infrastructure during the previous decade.

That investment covers computing infrastructure, AI models, cloud services, and technologies capable of supporting increasingly advanced AI applications.

Alibaba CEO Eddie Wu has positioned AI as one of the company's largest technological opportunities. The group has since expanded its Qwen family of AI models, increased its cloud computing capacity, and developed AI services for both consumers and businesses.

By the end of Alibaba's 2026 fiscal year, AI-related products represented around 30% of Alibaba Cloud's external revenue, while external cloud revenue grew 40% during the final quarter of the year, according to the company.

The numbers demonstrate why Alibaba increasingly views AI and cloud infrastructure not simply as technology investments but as major future revenue engines.

AI is also becoming part of Alibaba's e-commerce strategy

For e-commerce businesses, however, Alibaba's strategy matters because it is not developing AI and commerce as separate divisions. Instead, Alibaba is increasingly integrating artificial intelligence throughout its commerce ecosystem.

AI can potentially influence almost every layer of an online marketplace, from product discovery and search to advertising, merchant services, customer support, logistics optimization and personalized recommendations.

Alibaba has already deployed AI solutions across Taobao and Tmall and has increasingly connected its Qwen ecosystem to its commerce platforms. In 2026, for example, the company integrated the Qwen app with Taobao's product catalog and introduced Qwen-powered shopping capabilities inside Taobao. This creates an important strategic advantage.

Alibaba operates major consumer and B2B commerce platforms while simultaneously controlling cloud infrastructure and developing its own foundation AI models. Those capabilities could allow Alibaba to build AI shopping tools without relying heavily on third-party technology providers.

The race toward agentic commerce

The evolution could become even more significant as e-commerce moves toward agentic AI. Traditional online shopping still requires consumers to search for products, compare options, evaluate sellers and manually complete purchases.

AI agents could increasingly perform parts of that process independently. A consumer might eventually ask an AI assistant to find a specific product within a budget, compare delivery times, evaluate seller reliability, and recommend or potentially execute the best purchase.

For marketplace operators, this changes the importance of both product data and the technology controlling the interface between consumers and merchants. Alibaba has already described agentic AI and Model-as-a-Service as important components of its long-term AI strategy.

Integrating those technologies with Taobao, Tmall, Alibaba.com, AliExpress and other commerce platforms could give the company a large real-world environment in which to deploy AI-driven shopping services.

International e-commerce remains important

Alibaba's commerce strategy also extends far beyond China. Its international operations include platforms such as AliExpress, Lazada, Trendyol and Alibaba.com, giving the company exposure to both consumer and business-to-business cross-border commerce.

Alibaba previously reported that international commerce revenue was being supported by growth in businesses including AliExpress and Trendyol. The group therefore has an opportunity to apply AI capabilities across markets with very different languages, consumer behaviors and merchant ecosystems.

AI tools could prove especially valuable in cross-border commerce, where sellers must deal with challenges including multilingual product information, localization, customer service, search relevance and international marketing.

As AI becomes more deeply embedded in Alibaba's international platforms, these services could lower some of the barriers merchants face when selling into unfamiliar markets.

A leaner Alibaba emerges

The Lingxi Games sale therefore represents more than simply the disposal of a gaming studio. It also signals how Alibaba is reshaping itself after years of operating as a highly diversified technology conglomerate.

The company has repeatedly stressed portfolio discipline and the disposal of non-core assets while increasing spending on businesses that can support long-term growth. That increasingly means concentrating resources around consumption, e-commerce, cloud infrastructure and artificial intelligence.

Gaming may remain a large global digital industry, but maintaining a major gaming studio does not necessarily strengthen Alibaba's position in its most strategically important markets.

Selling Lingxi lets the company simplify its portfolio while potentially freeing up billions of dollars in capital as investment requirements in AI infrastructure continue to grow.

What the Lingxi Games sale means for e-commerce

For the wider e-commerce industry, Alibaba's restructuring illustrates how quickly AI is becoming intertwined with competition between the world's largest commerce platforms.

Amazon, Alibaba, Google, Meta and other technology companies are all exploring how generative and agentic AI could change product discovery and purchasing. The competition is no longer simply about which marketplace has the largest selection of merchants or the fastest logistics network.

Increasingly, it could also depend on who controls the AI systems consumers use to discover, compare and buy products. Alibaba's combination of marketplaces, merchant relationships, consumer data, cloud infrastructure and proprietary AI models puts it in a particularly strong position to pursue that opportunity.

The sale of Lingxi Games suggests the company is willing to give up significant businesses if they no longer fit that objective. And as Alibaba continues to invest tens of billions of dollars into AI and cloud infrastructure, the direction of travel is becoming increasingly clear: the company wants e-commerce and artificial intelligence to reinforce each other as the foundations of its next stage of growth.

The post Alibaba Sells Lingxi Games as It Doubles Down on E-Commerce and AI appeared first on Cross-Border Magazine.

India’s e-commerce enablement company Shiprocket has entered the final day of its initial public offering with strong investor demand, putting one of the country’s best-known logistics technology companies on course for a closely watched stock-market debut.

The IPO opened on August 12 and closes on August 14, with Shiprocket shares expected to begin trading on the BSE and NSE on August 19. The company has established a price band of ₹92 to ₹97 per share for an issue worth approximately ₹1,617.5 crore at the upper end of the range.

Investor demand accelerated significantly during the final day. According to Economic Times data, as of 12:18 IST on August 14, the offering had been subscribed 18.12 times overall. Non-institutional investors had subscribed 35 times their allocated portion, retail investors 24.66 times and qualified institutional buyers 7.26 times.

The figures represent a sharp acceleration from the end of the second day, when the IPO stood at 3.16 times subscribed overall. Retail demand had already been particularly strong at that stage, with the retail portion subscribed 9.77 times.

Shiprocket aims to raise around ₹1,617.5 crore

The Shiprocket IPO combines a fresh share issue with an offer for sale by existing shareholders.

Approximately ₹885.5 million? No — ₹885.5 crore of the offering comes from newly issued shares, while around ₹732 crore is being offered by existing shareholders. This brings the total IPO size to approximately ₹1,617.5 crore.

The distinction is important. Money raised through the fresh issue will go to Shiprocket and can be invested in the company, while proceeds from the offer-for-sale portion go to the shareholders selling their stakes.

Shiprocket has identified technology investment, marketing, business expansion, debt repayment and potential acquisitions among the areas where proceeds from the fresh issue may be deployed.

The company also secured ₹727.41 crore from anchor investors before the public subscription opened. According to Economic Times, roughly two-thirds of the anchor allocation was taken by 13 domestic mutual funds across 31 schemes.

At the upper price of ₹97, retail investors must bid for a minimum lot of 154 shares, equivalent to an investment of ₹14,938.

More than an e-commerce delivery company

Shiprocket's public offering is particularly relevant to the e-commerce industry because the business has expanded considerably beyond its original role as a shipping aggregator.

The platform connects online merchants with logistics providers while also offering services covering fulfilment, checkout, payments, cross-border shipping, marketing, omnichannel commerce, hyperlocal delivery and other merchant tools.

This effectively positions Shiprocket as infrastructure for e-commerce businesses rather than as a conventional parcel carrier.

The company works with third-party logistics providers including Delhivery, FedEx, Aramex, Xpressbees, DTDC and Shadowfax, allowing merchants to manage different delivery services through a single technology ecosystem.

As of the six months ending September 30, 2025, Shiprocket reported more than 145,000 active merchants and more than 97 million transactions processed through its platform. More than 8,500 of those companies were classified as high-volume merchants.

That merchant network gives the IPO significance beyond the performance of a single Indian technology company. Shiprocket sits at the intersection of several of the fastest-developing parts of e-commerce: D2C brands, small and medium-sized online merchants, marketplace selling, fulfilment technology and cross-border commerce.

Revenue reaches more than ₹2,000 crore

Shiprocket has also continued to expand its revenue.

Revenue from operations increased approximately 24% during the financial year ending March 2026, reaching ₹2,024.1 crore compared with ₹1,632 crore in FY25.

However, the company has not yet reached net profitability.

Shiprocket recorded a consolidated net loss of approximately ₹79.2 crore in FY26, slightly wider than the ₹74.4 crore loss reported in the previous financial year. EBITDA losses nevertheless narrowed to around ₹16.6 crore from ₹17.2 crore.

The financial picture therefore reflects a common challenge among technology-enabled e-commerce platforms entering the public markets: substantial revenue growth accompanied by continued investment in newer business segments.

Shiprocket's established domestic shipping operation is complemented by what the company describes as emerging businesses, including cross-border commerce, checkout services, marketing, hyperlocal delivery and other merchant solutions.

These newer businesses provide additional growth opportunities, but they also require continued investment before reaching the scale and profitability of the company's core operations.

Strong investor interest builds ahead of listing

Investor enthusiasm has also been visible outside the formal subscription process.

Early on the final day, Shiprocket shares were reportedly commanding a grey-market premium of around ₹37 over the upper IPO price of ₹97, equivalent to roughly 38%. Grey-market activity is unofficial and can change rapidly, however, meaning it should not be interpreted as a guaranteed indication of the eventual listing price.

Several Indian brokerages cited by Economic Times have also issued positive views on the offering, pointing to Shiprocket's position within India's growing e-commerce ecosystem, its merchant network and its ability to expand revenue across multiple services. Profitability remains one of the principal risks highlighted around the business.

The final subscription figures will ultimately provide a clearer indication of institutional demand once bidding closes.

Why Shiprocket's IPO matters for e-commerce

Shiprocket's market debut represents more than another Indian technology IPO.

The company has built its business around enabling thousands of merchants to access logistics and commerce capabilities that historically would have required relationships with multiple individual providers.

That model reflects a broader change taking place in e-commerce infrastructure.

Online sellers increasingly expect shipping, returns, fulfilment, payments, marketing, cross-border delivery and order management systems to work together. Platforms capable of aggregating those services can become an important layer between merchants, marketplaces, carriers and consumers.

Shiprocket is attempting to position itself within exactly that layer.

Its cross-border operations are particularly relevant as Indian merchants increasingly look beyond the domestic market. International shipping, customs support and integrated technology can lower some of the operational barriers that traditionally make international expansion difficult for smaller online sellers.

At the same time, the IPO will test whether public investors are prepared to value e-commerce infrastructure businesses primarily on growth, scale and future operating leverage while they remain loss-making at the net-income level.

What happens next?

The Shiprocket IPO closes on August 14.

The basis of allotment is currently scheduled for August 17, with refunds and the crediting of shares expected on August 18. Shiprocket is then scheduled to list on both the BSE and NSE on August 19, 2026.

With demand accelerating significantly during the final day, attention will now move toward the final subscription figures and the company's performance when trading begins.

For the e-commerce industry, however, the listing has broader significance. Shiprocket's journey from a shipping-focused technology provider into a wider commerce enablement ecosystem demonstrates how logistics technology companies are increasingly becoming integral infrastructure for digital commerce.

The response from investors suggests that the capital markets are paying attention too.

The post Shiprocket IPO Draws Strong Demand on Final Day of Bidding appeared first on Cross-Border Magazine.

Amazon has signed a global strategic supply agreement with warehouse automation specialist AutoStore, establishing a framework that could allow the e-commerce giant to deploy AutoStore technology across its international fulfillment network.

AutoStore announced the agreement on 13 August 2026 and set the commercial terms for Amazon to procure AutoStore products and automation solutions globally. However, AutoStore stressed that the agreement does not currently include any firm purchasing commitments.

The deal nevertheless represents a significant development for the warehouse automation sector, bringing together one of the world's largest e-commerce fulfillment operators and one of the most established providers of cube-based automated storage and retrieval technology.

A global framework for future Amazon automation

Under the agreement, AutoStore will have a framework through which Amazon can purchase its systems and solutions for facilities around the world.

The distinction between a supply agreement and an actual order is important. AutoStore has not disclosed any guaranteed volumes, deployment locations, investment values or implementation timetable.

Instead, the agreement effectively lays the commercial foundation for future procurement should Amazon decide to deploy AutoStore technology at additional fulfillment sites.

AutoStore described the agreement as a global framework covering its products and solutions, while confirming that no purchase commitments are included at this stage.

For Amazon, such an arrangement could provide another automation platform to support fulfillment operations as the company continues to invest heavily in warehouse robotics, artificial intelligence and automated inventory handling.

What is AutoStore?

Norway-founded AutoStore develops automated storage and retrieval systems designed around a dense cubic storage grid.

Rather than relying on conventional warehouse aisles and shelving, products are stored in bins stacked vertically inside a grid. Robots travel across the top of the structure, retrieving bins and delivering them to workstations where orders can be picked and processed.

The approach allows warehouses to store significantly more inventory within a smaller physical footprint while reducing the amount of manual movement required inside fulfillment centers.

AutoStore says it now has approximately 2,000 systems operating across 68 countries, serving retailers, logistics companies, industrial businesses and other fulfillment-intensive sectors.

The company increasingly positions its offering not simply as warehouse robotics, but as a broader fulfillment platform combining automation, software and AI.

Why Amazon's agreement with AutoStore matters

Amazon already operates one of the most technologically sophisticated logistics networks in the world.

Warehouse automation is central to that strategy.

The company has spent years developing and deploying its own robotic systems while also acquiring and working with external automation technologies. Robotics is increasingly used to move inventory, organize products, assist picking and packing processes, and reduce the amount of repetitive physical movement required from warehouse employees.

The AutoStore agreement suggests that Amazon is continuing to evaluate multiple technological approaches rather than relying exclusively on internally developed systems.

For AutoStore, securing a global procurement framework with a customer of Amazon's scale also provides significant strategic validation.

In its Q2 2026 report, AutoStore CEO Mats Hovland Vikse described the Amazon agreement as further validation of the company's strategic direction and of the relevance of its technology for major global customers.

E-commerce is accelerating warehouse automation

The agreement comes at a time when fulfillment automation is becoming increasingly important across the global e-commerce industry. Online retailers are under continuing pressure to process higher order volumes while simultaneously meeting increasingly demanding delivery expectations.

Customers now expect faster fulfillment, reliable inventory availability and greater visibility throughout the delivery process. At the same time, warehouse operators face rising labor costs and pressure to make better use of expensive logistics real estate.

AutoStore identifies continued e-commerce penetration, labor-cost inflation and increasing demand for operational efficiency as major structural drivers behind the long-term expansion of warehouse automation. Automated storage systems can potentially address several of those challenges simultaneously by increasing storage density, accelerating product retrieval and reducing repetitive warehouse movements.

AutoStore reports strong growth in 2026

The Amazon announcement coincided with AutoStore's second-quarter 2026 financial results. The company reported quarterly revenue of approximately $192 million, representing an increase of around 43% year on year. Order intake reached approximately $218 million, up around 45% compared with the same period in 2025. AutoStore's order backlog stood at approximately $596 million at the end of the quarter.

The company also reported a gross margin of around 72% and an adjusted EBITDA margin of approximately 45%. For the full 2026 financial year, AutoStore is currently targeting revenue of around $700 million. The company says it has also launched 14 new products and features during the past 12 months as it expands beyond its traditional core storage platform into additional warehouse automation applications.

Automation is becoming a competitive advantage in fulfillment

The wider significance of the agreement extends beyond Amazon and AutoStore. Fulfillment has increasingly become a competitive differentiator in e-commerce. Retailers are no longer competing only through product assortment and price. Delivery speed, order accuracy, inventory availability and returns processing can directly affect the customer experience.

That places growing pressure on warehouse infrastructure. Automation allows operators to increase throughput without necessarily increasing warehouse size or workforce at the same rate. For large international retailers and marketplaces, these efficiencies can become particularly important because improvements made across dozens or hundreds of fulfillment centers can translate into substantial operational savings.

The Amazon-AutoStore agreement therefore highlights the increasing strategic importance of warehouse technology within the global e-commerce ecosystem.

No confirmed Amazon deployment yet

Despite the potential scale of the partnership, the announcement should not be interpreted as confirmation of a major Amazon AutoStore rollout. Neither company has announced how many systems Amazon may acquire, which fulfillment centers could receive the technology, or how much Amazon could ultimately spend under the agreement.

AutoStore has explicitly stated that the framework does not contain purchasing commitments. Any future procurement would therefore represent a separate commercial decision. The agreement nevertheless removes part of the contractual groundwork that would otherwise be required for future deployments, potentially making it easier for Amazon to procure AutoStore technology across multiple markets.

What this could mean for global e-commerce fulfillment

Amazon's logistics operations have often influenced wider industry investment trends. Technologies deployed successfully at Amazon's enormous fulfillment scale can attract greater attention from retailers, marketplaces and third-party logistics providers seeking similar efficiency improvements. AutoStore says the majority of warehouses globally remain unautomated, suggesting significant potential for further expansion of automated fulfillment technology.

As e-commerce businesses look to shorten delivery times while controlling fulfillment costs, warehouse density and automation are likely to become increasingly important components of logistics strategy. For AutoStore, the new Amazon agreement provides access to potentially one of the largest automation customers in the world. For Amazon, it adds another proven technology platform to an increasingly sophisticated fulfillment ecosystem.

The immediate financial impact remains uncertain because no orders have yet been committed. But strategically, the agreement illustrates how quickly automation is becoming embedded in the infrastructure supporting global e-commerce.

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