/retail
Agentic workflows for retail & e-commerce
Agents across the shopper journey and the back office — merchandising, catalogue, order support and demand signals wired into the systems that actually run the store.
Retail and e-commerce is a domain Vyom Tech Sol builds agentic systems for. Customer-facing work includes conversational shopping and product discovery grounded in the real catalogue and inventory position, order-status and returns handling wired into the order management system, and RMA processing. Back-office work includes catalogue enrichment and product content generation at scale, demand forecasting and replenishment support, promotion and markdown analysis, and store-operations copilots that give associates answers about stock, policy and process. The recurring theme is grounding: a retail agent that hallucinates stock levels, prices or return eligibility destroys trust immediately, so these builds are wired directly into inventory, pricing and order systems with the agent constrained to what those systems actually say.
What we build in retail & e-commerce
- →Conversational shopping & product discovery
- →Catalogue enrichment and content generation
- →Order status, returns & RMA handling
- →Demand forecasting & replenishment support
- →Promotion and markdown analysis
- →Store-ops and associate copilots
One agent, in depth
// agent deep-diveThe Catalogue Enrichment AgentBad product data is a silent revenue leak — items that cannot be found, filtered, or trusted. An agent that fills the gaps at catalogue scale without inventing attributes.read the deep-dive →Common questions
How do you stop an AI agent inventing product attributes?
The agent distinguishes three states and never collapses them: Known (present in a source, cited), Derived (follows by an explicit rule), and Unknown. Unknown stays empty and becomes a supplier data request. A jacket described as waterproof when it is water-resistant is a returns problem and possibly a regulatory one.
Which retail workflows suit agentic AI?
Conversational product discovery, order status and returns handling, catalogue enrichment at scale, demand forecasting and replenishment support, promotion and markdown analysis, and store-associate copilots.
Can an agent handle order status and returns end to end?
Yes, when it is wired into the order management system rather than reasoning from a help article. It reads the actual order and inventory state, applies your return-window and eligibility rules, and performs the remedy within bounded limits.