Build an AI shopping assistant that understands natural-language questions, searches your product catalog, personalizes recommendations, and moves shoppers toward purchase. VerceLabs combines RAG, LLM orchestration, commerce integrations, and analytics. Give every shopper a personal guide that understands intent, context, and confidence.
Live product intelligence
Watch the assistant guide a purchase
Observed experience
VerceLabs combines product implementation with customer analytics to understand what changes in the shopping journey.
Customers served
Customer accounts with analytics actively handled/analyzed
Customer retention improvement observed
Cart abandonment reduction observed
Increase in new customers observed
Sales growth observed
Results vary by business, catalog, traffic quality, implementation, pricing, and customer behavior. These are observed results across customer accounts we have analyzed, not guaranteed outcomes, and do not mean every customer achieved every result.
The commerce problem
An assistant is most useful when shoppers need guidance and ordinary search leaves too much work to the customer.
The product experience
A natural-language path from a shopper's question to relevant products, clear reasons, and a confident next step.
Illustrative product experience
Customer
I need running shoes for long-distance running under $150.
AI assistant
Based on your requirements, here are three options to compare.
Trail Runner
Compare option
Distance Pro
Compare option
Daily Flex
Compare option
How it works
Customer query
Intent understanding
Catalog retrieval
RAG + LLM
Personalization
Recommendation
Checkout
The difference
A chatbot answers questions. An AI shopping assistant helps a shopper move from uncertainty to a confident next step.
Configurable features
Natural-language search, intent classification, catalog-grounded retrieval, and clear product reasoning in one experience.
Surface relevant products from shopper intent and configured rules.
Make specifications, fit, and trade-offs easier to understand.
Use available context to shape a more useful discovery path.
Help shoppers move from an open-ended question to a shortlist.
Support recovery journeys when a shopper leaves before purchase.
Optional capabilities such as voice input, visual search, multilingual experiences, real-time inventory synchronization, experimentation, and additional security or compliance controls require separate scoping.
Integrations
Connect the systems your team already relies on. Final scope depends on APIs, data quality, platform access, and rollout requirements.
Your store
Product catalog
Inventory + customer data
Analytics + APIs
AI shopping assistant
Customer experience
Analytics and measurement
Track the moments that matter from discovery through retention and use the data to prioritize improvements.
Illustrative analytics view
Demo values are illustrative. Customer outcomes are measured separately against an agreed baseline.
Use cases and fit
An assistant is most useful when product choice is complex and the shopping journey benefits from guidance.
Managed implementation
Understand
Connect
Configure
Integrate
Optimize
Customer results / case studies
Explore a verified commerce project that shows how product architecture, performance, and experimentation can work together.
A modern headless commerce platform with Next.js, Shopify, edge caching, personalization, and an experimentation framework.
Existing project visual language
Implementation pricing is a starting point. Final scope depends on catalog size, integrations, customization, and complexity. Optional ongoing optimization and support can be scoped separately.
For smaller ecommerce businesses launching an AI shopping experience.
For established ecommerce businesses needing advanced recommendations, personalization, analytics, and deeper integrations.
For complex catalogs, multiple storefronts, custom APIs, enterprise integrations, and advanced requirements.
Need a custom solution? Let's talk about your specific requirements.
Schedule a ConsultationGet answers to common questions
Tell us about your catalog, customer journey, and commerce goals. We’ll help you assess where an AI shopping assistant could create measurable value.
