AI-Powered Product Recommendations on WhatsApp
Boost average order value with personalized product suggestions delivered via WhatsApp conversations.
The Problem
Generic product recommendations on websites convert poorly because they lack context. Customers browse hundreds of products without finding what they need, and email recommendation campaigns have low engagement. There is no way to have a personalized shopping conversation at scale.
The SuperWaba Solution
SuperWaba's AI analyzes purchase history, browsing behavior, and stated preferences to recommend the right products at the right time via WhatsApp. Customers can ask for suggestions, browse product catalogs, and add to cart, all within the chat.
How It Works
- 1
Connect your product catalog
Sync your product database with images, prices, descriptions, and inventory status.
- 2
Configure recommendation engine
Set up rules for cross-selling, upselling, and similar product suggestions based on customer data.
- 3
Build recommendation flows
Create conversational flows that ask preferences and present curated product selections.
- 4
Enable catalog browsing
Let customers browse categories, search products, and view details directly in WhatsApp.
Key Benefits
- Increase average order value by 15-25% with personalized recommendations
- AI-driven suggestions based on real purchase and browsing data
- Interactive catalog browsing within WhatsApp conversations
- Conversational commerce feels personal, not pushy
- Cross-sell and upsell at the moment of highest purchase intent
Related Resources
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