AI Product Discovery Assistant – Through Natural conversation
Overview
An AI-powered virtual shopping companion that transforms online retail through natural language interactions, combining conversation intelligence with personalised product discovery to create a seamless, context-aware shopping experience that drives conversion and customer satisfaction.
Problem
- Traditional e-commerce search and filtering systems are rigid and often fail to understand nuanced customer preferences.
- 30% of cart abandonment occurs due to poor search experiences.
- 50-60% of customers leave websites due to inadequate product discovery.
- Inability to maintain shopping context across sessions.
- Poor translation of conversational queries into relevant product recommendations.
Solution
- Natural Language Understanding (NLU) for processing complex, contextual queries.
- Dynamic customer preference learning from browsing patterns and purchase history.
- Real-time personalisation engine adapting to customer interactions.
- Multi-session context retention for consistent shopping experiences.
- Visual and textual product matching capabilities.
- Integration with existing e-commerce platforms and inventory systems.
Key Impact
20-30% increase in conversion rates through personalised product discovery
25 -30% reduction in time-to-purchase
15-25% decrease in cart abandonment
Enhanced customer loyalty with higher repeat purchase rates
Reduced customer service costs through automated assistance
Improved inventory turnover through better product visibility
Ideal Customer Profile (ICP)
Size
Mid to large-scale e-commerce businesses
Annual Revenue
$50M - $500M
Volume
Chief Digital Officer (CDO)/ VP of E-commerce
Technology Maturity
Medium to High
Key Decision Makers
- CTO/CIO
- Head of E-commerce
- Head of Customer Experience
- Digital Innovation Manager
