The client wanted to create an eCommerce platform to help struggling vendors increase their sales and make it easier for people to place orders, especially those who aren't that tech savvy. This platform utilizes a unique chat-based system for users to describe the product they want, and the system would help them find the best vendor for it. The classification of products helped create product groups that were useful for both users and vendors.
Retail & Ecommerce
Our client wanted an eCommerce system that would help struggling vendors sell their products and improve the user experience. For this, we needed a chat system where users could describe the product they need, and the system would find the best vendor for them. We used NLP to organize data of different vendors and evaluate certain vendor-based attributes. The context-based search helped us divide products into different categories and identify the best group. This especially helped older people who find it difficult to place an order on eCommerce websites. The vendors also benefited as they were able to get user insights quickly.
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