Chat-based product matching is transforming how e-commerce brands guide users to the right items in real time. It moves beyond filters and search bars to deliver personal recommendations through conversation. With Gina from Naratix, customers find what they need faster, boosting satisfaction and conversion.
Why Chat-Based Product Matching Matters
Shoppers Want Speed and Relevance
Online shoppers expect fast results, not endless scrolling. Chat-based product matching helps them get there quicker by understanding what they want and pointing them to relevant products. Instead of forcing users to hunt for options, it brings the right ones forward immediately. That creates a seamless, satisfying shopping journey.
Friction Hurts Sales
When users can’t find what they need, they bounce. Gina eliminates this friction by turning chat into a guided shopping experience. Her ability to match needs with inventory boosts product discovery and keeps users engaged.
Missed Matches Cost Revenue
- Unused filters leave products buried,
- Overwhelming category pages confuse shoppers,
- Manual search terms miss intent,
- Lost interest due to navigation delays.
How Chat-Based Product Matching Works
Understanding User Intent
Gina listens to each message and analyzes intent using conversational AI. She knows when a shopper wants a recommendation, more info, or a comparison. This allows her to tailor suggestions based on specific goals and context.
Smart Matching With Inventory
Behind the scenes, Gina connects user input to your catalog. She uses tags, attributes, and real-time availability to suggest the most relevant items. This minimizes no-match results and increases conversion rates.
Real-Time Matching Logic
- Prioritizes in-stock products first,
- Matches based on color, size, price, and function,
- Recognizes synonyms and related terms,
- Recommends bundles or accessories.
Scaling Product Matching With Naratix
Powered by Deep Data
Gina is backed by the full Naratix agent stack. Dynamo enriches product attributes, Grant powers recommendations, and Nara ensures product names and descriptions support the logic. It’s a system built to scale with your catalog.
Always Improving
As users interact, Gina learns. She identifies gaps in your catalog, logs frequent mismatches, and adapts her logic. This ensures that chat-based product matching only gets better over time.
Smarter With Every Conversation
- Flags items that are frequently skipped,
- Logs common requests with low match rates,
- Reorders suggestions based on success rate,
- Fine-tunes based on user follow-through.
Chat-based product matching helps e-commerce brands simplify discovery, improve accuracy, and guide more users to the checkout. With Gina, your store doesn’t just respond, it recommends, understands, and converts.
Start upgrading your catalog journey with chat-based product matching from Naratix.
