Reusable retail knowledge for shoppers, staff, support, search, and AI agents.
IMV Knowledge Base Builder helps teams manage product guidance, policy answers, store enablement, support content, and AI-readable facts connected to catalog, inventory, orders, and ecommerce context.
Can I return an online order in store?
One knowledge record can serve customer self-service, staff workflows, AI answers, and policy enforcement.
Retail knowledge gets risky when answers live in disconnected places.
Policies, product guidance, support instructions, staff notes, and AI answers can drift apart unless they share a governed content model.
Treat knowledge as structured operating content linked to products, orders, inventory, policies, and customer-facing commerce surfaces.
Policy drift
Return, warranty, shipping, pickup, and service rules change but old answers linger.
Product confusion
Shoppers and associates need fit, compatibility, care, substitutes, bundles, and constraints.
Store inconsistency
Store teams need the same trusted answers as ecommerce and support teams.
AI hallucination risk
AI agents need grounded, approved, current answers with clear source and action rules.
One knowledge system for the questions retail teams answer every day.
Structure knowledge by job-to-be-done so answers can be reused across shoppers, stores, support, search, and AI agents.
Customer FAQs
Shipping, returns, pickup, warranty, payment, account, and service questions.
Product guidance
Fit, compatibility, usage, care, comparison, alternatives, and buying advice.
Store enablement
Associate instructions, return steps, service workflows, escalation paths, and training snippets.
Policy facts
Source-approved rules that AI, support, ecommerce, and POS can reference safely.
From repeated question to governed answer.
A good knowledge workflow should capture demand, create a structured answer, validate it, publish it, and measure where it is reused.
Identify demand
Use support tickets, search queries, store questions, no-results data, and returns patterns.
Structure answer
Define audience, summary, source, linked products, policy state, and next actions.
Approve and publish
Route sensitive answers through product, operations, legal, finance, or support review.
Reuse and learn
Expose to ecommerce, search, AI, stores, and support, then measure deflection and gaps.
AI answer guardrails
AI can only answer safely from knowledge that is structured and governed.
IMV Knowledge Base Builder can prepare answers for site search, customer support, store associates, and LLM catalog APIs while keeping source, policy, and action boundaries explicit.
See LLM catalog APIPublish once, reuse where the question appears.
A single knowledge record can support ecommerce pages, product search, support agents, POS workflows, customer self-service, and AI answers.
Storefront
FAQs, policies, fit guidance, pickup rules, and support answers.
Store teams
Return steps, troubleshooting, product guidance, and escalation paths.
AI agents
Grounded answers, source links, confidence, and safe next actions.
Knowledge becomes more valuable when it is linked to the retail operating graph.
Answers should be connected to products, orders, policies, search, content, and commerce actions.
Find the answers your shoppers, stores, and AI agents need to trust.
We can map customer questions, store workflows, policies, product guidance, support tickets, search gaps, and AI answer needs into a reusable knowledge model.