Industries · Retail & E-commerce

Agentic AI for Merchandising, Service & Lifecycle

Closed-loop agents for catalog quality, demand sensing, lifecycle messaging and Tier-1 service. Built for DTC, marketplace and omni-channel operators.

Where the closed loop pays back fastest

›Product catalog quality drift that quietly tanks conversion
›Replenishment decisions made on stale weekly snapshots
›Lifecycle email programs that never learn from cohorts
›Service queue spikes after every promo or release

High-ROI use cases

Catalog-quality agent

Continuously audits titles, attributes, images and reviews; drafts fixes; tracks conversion lift per fix.

5–15% conversion lift on fixed SKUs

Demand-sensing agent

Closed-loop replenishment that re-forecasts daily from sell-through, weather and competitor signal.

10–20% lower stockouts at same OTB

Lifecycle orchestration

Cohort-aware agent drafts the next-best email/SMS, runs hold-out tests, learns continuously.

10–25% lift in CLV

Tier-1 service deflection

Order-status, returns, exchanges resolved via agent with full order history and policy context.

30–50% Tier-1 deflection

Reference stack

LangGraph + GPT-5 / Claude routed via gateway
MCP servers for Shopify / Salesforce / Klaviyo
Hybrid retrieval over PIM + reviews
Eval harness with conversion + CSAT scorers

Guardrails

No price changes without approval
Brand-voice guardrails enforced in eval gates
Per-cohort fairness check on lifecycle programs

OC retail operators use closed-loop agents to keep catalog and demand decisions fresh between weekly merchandising meetings.