The challenge
What organisations face
Shoppers increasingly expect to describe what they need in natural language, yet keyword search and filters return irrelevant results for nuanced queries. Generic chatbots invent product details or promotions, damaging trust, and they rarely connect to live inventory, pricing or order data needed to complete a purchase.
The solution
What VulcanTech engineers
VulcanTech would build an assistant that retrieves from the product catalogue, reviews, size guides and policies, then calls commerce APIs for live stock, pricing, basket and order status. Guardrails restrict answers to verified data and approved promotions. The assistant is embedded across web and app through the headless storefront, with conversation analytics feeding merchandising decisions.
Expected outcomes
What changes for the business
- Higher-intent product discovery for complex queries
- Answers grounded in live catalogue and stock
- Merchandising insight drawn from real customer questions
Capabilities
Service lines involved
- Conversational AI & CopilotsCustomer-facing assistants and in-product copilots that resolve requests accurately and escalate with context.
- Enterprise Knowledge & Retrieval (RAG)Institutional knowledge made instantly accessible, with every answer traceable to its source.
- Composable & Headless CommerceComposable storefronts on Next.js, decoupled from the commerce engine behind them.
Retail & E-commerce
Related use cases
- Demand forecasting and replenishmentMachine learning forecasts at SKU and location level that drive replenishment, allocation and markdown decisions across channels.
- Better stock positioning across stores and fulfilment centres
- Fewer late markdowns and missed sales
- Composable commerce re-platformingPhased migration from a monolithic commerce suite to a composable architecture of headless front ends, APIs and best-fit services.
- Faster storefront performance on mobile
- Independent releases without platform-wide code freezes
- Generative product content at scaleA governed generative AI workflow that produces on-brand product descriptions, attributes and translations from supplier data and imagery.
- Products live sooner with complete, consistent content
- Richer attributes improving search and filtering
Free discovery session
Explore conversational shopping assistants for your organisation
Tell us what you're building. You'll hear back from an engineer, not an inbox.
- 1We reply within one business day to set up a 30-minute call.
- 2A senior engineer — not a salesperson — walks through your problem.
- 3You get a scoped proposal with timeline and cost. No obligation.
New projects & sales
[email protected]Existing clients & support
[email protected]