AI assistant that answers product questions and checks availability in real time
An AI-powered shopping assistant that helps customers find the right product, check in-store and online availability, compare options, and get instant answers — reducing abandoned searches and driving conversion.
Built for E-Commerce, Merchandising & Store Operations Leaders
The Problem
Why manual triage doesn't scale
Shoppers Cannot Find What They Need
Site search returns irrelevant results. Product pages lack the detail shoppers need to buy confidently. Customers leave without purchasing.
Up to 30% of e-commerce site searches return zero or irrelevant results
Inventory Visibility Is Fragmented
Customers want to know if a product is available at their local store, online, or for same-day delivery — but inventory data is siloed across systems.
71% of shoppers check online availability before visiting a store
Product Questions Go Unanswered
Shoppers have questions about sizing, compatibility, materials, and use cases that are not answered on the product page — leading to hesitation and abandonment.
Staff Cannot Cover Every Customer
In-store associates are stretched thin and cannot provide personalized product guidance to every shopper, especially during peak hours.
Results
Measurable impact from day one
25%
Higher Conversion Rate
Shoppers who get instant product answers and availability checks convert at significantly higher rates.
60%
Product Questions Automated
AI handles the majority of product inquiries — sizing, compatibility, availability — without staff involvement.
35%
Fewer Abandoned Searches
AI-powered product discovery and recommendations rescue shoppers who would otherwise leave empty-handed.
20%
Higher Average Order Value
Contextual product recommendations and bundles drive larger basket sizes.
Capabilities
Everything you need for intelligent triage
AI Shopping Assistant
Conversational AI that answers product questions, recommends items based on needs, and guides shoppers to the right product — on web, app, and in-store kiosks.
- Natural language product Q&A from catalog data
- Need-based product recommendation and comparison
- Size, fit, and compatibility guidance
Real-Time Inventory Lookup
AI checks product availability across all channels — online, in-store, warehouse, and fulfillment partners — and shows customers their options.
- Store-level inventory availability checking
- Online, ship-to-store, and same-day delivery options
- Low-stock and back-in-stock notification triggers
Product Discovery Engine
AI-powered search and browsing that understands natural language queries, shopper intent, and product attributes to surface the most relevant results.
- Natural language search with intent understanding
- Visual similarity and attribute-based recommendations
- Personalized results based on browse and purchase history
Cross-Sell & Bundle Recommendations
AI suggests complementary products, frequently bought-together bundles, and accessories to increase basket size and customer satisfaction.
- Context-aware cross-sell at point of decision
- Bundle pricing and promotional offer display
- Post-purchase accessory and replenishment suggestions
How It Works
Three steps to automated triage
Step 1
Ask & Discover
Shoppers ask product questions via chat, search, or in-store kiosk. AI understands intent and surfaces the most relevant products and answers.
Step 2
Check & Recommend
AI checks real-time inventory across channels, confirms availability, and recommends complementary products and fulfillment options.
Step 3
Convert & Learn
Analytics track search-to-purchase conversion, popular queries, and product gaps — informing merchandising, content, and inventory decisions.
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Related solutions
Frequently asked questions
Can the assistant check real-time stock availability?
Yes — availability is looked up live across online and in-store inventory rather than from a nightly export, so a shopper asking whether an item is in stock at a particular store gets the current answer. Fragmented visibility is usually why that question goes unanswered.
How does a shopping assistant improve conversion?
Abandoned searches fall by around 35%, because shoppers who cannot find or compare products get a direct answer instead of leaving the site. Conversion typically improves around 25%, and relevant bundle suggestions lift average order value by roughly 20% on top of that.
Does it work in-store as well as online?
It runs wherever shoppers ask — web, app, chat, and in-store assisted selling — from the same product and inventory data. Store associates can query it too, which extends product expertise beyond the few people who happen to know a category well.
Related Glossary Terms
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