# Elygent for Retail Turn customer demand into sales Custom AI agents guide shopping, carry customer requests through resolution and coordinate replenishment, giving retail teams more capacity for customers. Core data: Product catalog and availability · Customer requests and order history · Demand and inventory signals · Supplier confirmations and policies Turn product and customer knowledge into purchases, repeat business and available stock. Shoppers need answers while orders, returns and stock changes cross teams. Agents carry those workflows forward, with approvals where customers and commercial decisions need them. ## AI workflows to transform ### Shopping assistance Operating pain: Shoppers abandon decisions when product questions and availability require waiting for staff. Agent execution: AI agents interpret shopping intent, match approved product information and guide customers toward suitable items and purchase steps across channels. Accepted output: Clear recommendations and next steps for an informed purchase. Business value: Help shoppers move from product interest to purchase. Decision owner: Customers authorize purchases; staff approve exceptions. AI capability: Interprets shopping goals, occasion and budget; matches product descriptions and approved customer context. Implementation limits: Selected-market shopping pilot in the cited case; do not assume basket creation, payment or pricing powers. Research source IDs: retail-pandora ### Customer service follow-through Operating pain: Service queues expand as order updates, returns and exceptions bounce between teams. Agent execution: AI agents interpret customer questions, combine product policies with order context, and resolve approved requests or escalate changes with a conversation summary. Accepted output: Resolved questions and complete handoffs for order changes. Business value: Support repeat purchase through faster, better customer service. Decision owner: Staff approve refunds and policy exceptions. AI capability: Language understanding and grounded answers combine product policies, order status and conversational context. Implementation limits: The reported live agent handles defined FAQs/status; unsupported order changes escalate to people. Research source IDs: retail-pandora ### Replenishment coordination Operating pain: Supplier emails change availability while buyers manually reconcile orders and stock plans. Agent execution: AI interprets supplier emails and PDF changes; agents match affected orders, prepare reviewed updates and coordinate the next replenishment steps. Accepted output: Reviewed supplier changes supporting faster replenishment decisions. Business value: Support product availability within purchasing and margin controls. Decision owner: Buyers approve purchasing and supplier commitments. AI capability: Interprets unstructured supplier email/PDF intent and maps it to the correct order context for buyer review. Implementation limits: Production-ready preview; unsupported split deliveries, site/vendor changes and commercial commitments need human handling. Research source IDs: retail-procurement ## Measure the operating change - Shopping assistance response time - Customer case resolution time - Replenishment action turnaround ## Implementation and transformation Elygent implements agents across commerce, service and replenishment, connecting retail data and systems with clear operating rules. ### 1. Simplify the workflow Find the bottleneck. Remove waste and agree the baseline. ### 2. Connect the foundation Make your data, knowledge and systems usable by agents. ### 3. Deploy and enable Build agents, test exceptions and train the people using them. ### 4. Operate and improve Measure completed work, improve throughput and expand what works. Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results. ## Implementation details From bottleneck to working agents Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard. Where we start: Your core data, existing systems and a valuable operating bottleneck. What we implement: An implemented agent workflow, enabled people and measured operating outcomes. ### Simplify the workflow Source records: Current work, policies and baseline. Output: A simpler workflow with agreed success measures. Owner: Process owner and Elygent team. ### Connect the foundation Source records: Approved data, knowledge and system access. Output: Trusted context and qualified system connections. Owner: Data owners and implementation engineers. ### Deploy and enable Source records: Test cases, review paths and working methods. Output: A validated agent workflow and an enabled team. Owner: Elygent engineers and your team. ### Operate and improve Source records: Accepted outputs, turnaround and exceptions. Output: A measured operating service with approved improvements. Owner: Service owner and Elygent team. ### Foundation for execution #### Product catalog and availability Qualify ownership, permitted access, quality and business context before connecting. #### Customer requests and order history Qualify ownership, permitted access, quality and business context before connecting. #### Demand and inventory signals Qualify ownership, permitted access, quality and business context before connecting. #### Supplier confirmations and policies Qualify ownership, permitted access, quality and business context before connecting. ### Agreed measures Measurement definitions to agree and baseline per engagement; no achieved performance is claimed. #### Shopping assistance response time Elapsed time between the agreed start and accepted completion of the workflow. Unit: Time Compare with the baseline while preserving quality and required review. #### Customer case resolution time Elapsed time between the agreed start and accepted completion of the workflow. Unit: Time Compare with the baseline while preserving quality and required review. #### Replenishment action turnaround Elapsed time between the agreed start and accepted completion of the workflow. Unit: Time Compare with the baseline while preserving quality and required review. Elygent OS supports connected knowledge and approved learning behind the workflow. ### Questions about implementation #### Do we need to replace our systems? Start with your existing workflow and qualify the connections. Data and context are prepared around it; system access and supported actions are agreed before deployment. #### How do we know the work improved? Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated. ## Research behind the AI use cases Documented AI use cases elsewhere in the industry; these are not Elygent customer results. - retail-procurement: [Microsoft — Procurement Agent supplier communications](https://learn.microsoft.com/en-us/dynamics365/supply-chain/procurement/procurement-agent-supplier-com-overview) — Updated August 10, 2026; explicitly production-ready preview. AI classifies vendor email/PDF intent, matches orders and proposes reviewed changes; not every line/site/vendor-change scenario is supported. Published: not stated. Updated: 2026-08-10. Evidence: Official AI feature documentation; production-ready preview. Accessed 2026-10-05. - retail-pandora: [Salesforce — Pandora customer story](https://www.salesforce.com/customer-stories/pandora/) — October 8, 2025: reported live Clara FAQs/order-status reasoning and human escalation; Gemma product matching is described as a selected-market pilot. No performance figures copied. Published: 2025-10-08. Updated: not stated. Evidence: vendor-customer-story. Accessed 2026-10-05. Canonical page: https://elygent.ai/industries/retail Implementation approach: https://elygent.ai/how-we-work Services: https://elygent.ai/services Security and control: https://elygent.ai/security Public information is read-only. Contact, newsletter signup and booking require the person's explicit authorization.