AI for e-commerce and retail
Marketplaces and retailers use AI Router to ship LLM-based features fast — from semantic search to conversational shopping. No lock-in: swap models in one config change.
Use cases in production
Where LLMs move e-commerce metrics today.
Semantic search and recommendations
Intent understanding, query rewriting, personalized recs based on purchase history.
Shopping assistant
Chatbot for product picking, comparison, and consultation. Catalog integration via function calling.
Product-card generation
Auto-generated descriptions, SEO meta, alt text from structured attributes and images. Quality control via templates.
Returns and support automation
Inquiry classification, return-policy validation, draft replies. 3–5× faster handling.
Economics for retail
Why regulated per-token cost beats packaged SaaS-AI tiers.
Per-request cost
Every request has a generation ID and exact cost. You see cost per intent and optimize unit economics on every feature.
A/B-test models without rewrites
Swap models in a query param or header. Compare quality and cost. No second integration, no second billing.
Prompt caching
Cached prompt prefixes (system prompt, catalog) deliver 2–10× cost and latency reductions.
Predictable budget
Cost rate limits per key, anomaly alerts, predictable monthly burn. Finance knows what to expect.
Start a retail pilot
One use case, one metric, transparent cost. End of pilot: scale decision.