AI Shopping Agent & Personal Stylist
The client wanted to improve customer experience in the retail industry by leveraging data to offer personalized recommendations. They needed a solution that would allow customers to communicate and shop via their preferred channels like WhatsApp and Instagram.
A forward-thinking retailer needing to bridge the gap between digital convenience and the personalized service of a boutique. They wanted to leverage their vast data on customer preferences to drive sales and engagement.
Predictive Recommendation Engine
An agent that analyzes purchase history and market trends to suggest products users actually want, acting as a personal stylist.
Social Commerce Integration
Full functionality within WhatsApp, Instagram, and Facebook, allowing customers to browse and buy where they already chat.
Transactional Capability
End-to-end checkout processing directly within the chat interface for a frictionless path to purchase.
Relevance of Suggestions
Generic recommendations often annoy customers. The AI had to be highly accurate in understanding individual style nuances.
Platform Constraints
Delivering a rich shopping experience within the limited UI of messaging apps like WhatsApp required creative UX design.
Data Privacy
Handling sensitive purchase data and preferences required strict adherence to privacy standards.
We developed an intelligent agent-bot that analyzes purchase history and trends to offer tailored suggestions. It integrates seamlessly with messaging apps and the web, facilitating smooth, conversational transactions and acting as a 24/7 personal shopping assistant.
