Its configuration is very simple and completely customizable for each business.
It integrates with APIs to automate any administrative process.
47% of users who make purchases online would be willing to do so using a bot.
For years, chatbots have been one of the e-commerce trends attracting the most attention within the sector. Automation promises great benefits: it reduces financial costs, streamlines work and saves workers’ time.
We just launched a new chatbot at Oct8ne for this reason. Our goal is to continue moving towards a better customer experience and to offer a customer service tool focused on sales to other e-commerce companies.
This new system works through automation modules that connect different conversations and, thanks to decision trees, the bot can guide the customer to the solution they need and help the user make a final purchasing decision.
With the bot, any online business will be able to clear up the uncertainties that constantly arise in e-commerce, like delivery times, returns or order tracking, among others, without losing what differentiates us from other customer service systems: visual support.
The conversations are fully customizable; all you have to do is adjust the responses and diagrams to connect all the variables. If you know your customers’ needs, you can adapt the conversations 100% so they progress logically and naturally.
We have designed the dashboard with a simple interface so any user, even one with no technical knowledge, can customize their own bot. This way, each area of the business can define automation flows and apply changes without depending on its technical team or Oct8ne’s support.
Additionally, we offer several predesigned templates, depending on the type of business so any user can start working with a previously developed bot and doesn’t have to start from scratch.
Another interesting feature is that our new chatbot allows the user to decide on the solution they need through the various options presented by the search, and the bot is also able to make decisions for itself within the flows, depending on the user’s responses, specifications or context.
For example, depending on the language that the customer’s browser is in, you can show them the flow of conversations that corresponds to their language or show them an offer when you see them looking at a specific URL.
We’ve also included new conditions and variables so that, within the same module, depending on the client’s response, you can guide them to one conversation or another. This will be very useful so the bot can decide whether to continue with the conversation when a user provides their correct order number or ask them to find the correct number because they have left a wrong one.
Automatically differentiating the needs of a customer not only gives you an advantage and improves the customer experience, it will also have a positive impact on sales. The users who get their questions answered quickly will be able to continue with the purchasing process and anyone who needs slower, more personalized advice will have an agent available.
The chatbot lets the customer service team have more time to attend users who are about to checkout, which gives them the opportunity to apply cross-selling and up-selling techniques, strategies that always generate more opportunities to improve sales.