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by Scott D'Angelo, Rich Hagarty, Mark Sturdevant | Published April 13, 2017
Artificial intelligenceData storesPlatform as a ServiceRetail
As a Python developer, you can use this pattern to learn how to add features such as a shopping cart, context store, and custom inventory search into your chatbot. When you’ve completed the pattern, you will understand how to create a chatbot dialog using Watson Assistant, a Cloudant NoSQL database, Watson Discovery, and a Slack group.
Chatbots are a hot topic in the retail industry, but so far the execution has mostly amounted to little more than a novelty experience for customers. Interested in adding a chatbot? In this developer code pattern, learn how you can create an easily configurable, retail-ready Watson Assistant-based chatbot that lets a user find items to purchase and then add and remove items from their cart.
To begin building your own chatbot:
July 12, 2019
Artificial intelligenceCloud Foundry+
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Artificial intelligenceData stores+
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