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Conversational AICase study

E-commerce Product Search & Recommendation Chatbot

Conversational AI chatbot that automates product discovery through category browsing and intelligent search, increasing conversion rates by 23% and reducing customer support queries by 30%.

Conversational AI · workflow canvasproduction build
E-commerce Product Search & Recommendation Chatbot workflow

Context

E-commerce customers struggled to find products in large catalogs, spent time browsing multiple categories manually, waited for customer service to answer product questions during business hours, and abandoned carts due to lack of immediate assistance in product selection.

Approach

Built Botpress conversational chatbot that greets users and offers guided product discovery, allows category selection (Tops, Bottoms, Dresses, Shoes, Swimwear, Accessories), enables brand-based and name-based product search through natural language, retrieves and displays product information from integrated knowledge base with fallback handling for unavailable items, and provides continuous browsing options for enhanced shopping experience.

Architecture

  1. Botpress conversation trigger
  2. Automated greeting
  3. Category selection
  4. Product search (brand/name-based)
  5. Knowledge base query
  6. Product details retrieval
  7. Display results or not-found message
  8. Explore more option loop
  9. Conversation end

Results

23%Conversion rate increase
30%Support queries reduced
60% fasterProduct discovery time