Rate limits, inventory reservation, and in-thread checkout — engineering patterns from ShopLinx production deployments.
WhatsApp commerce breaks when teams treat the Business API like a simple webhook. Rate limits, session windows, template policies, and concurrent checkout require purpose-built architecture.
Queue and inventory patterns
ShopLinx uses intelligent queue management, inventory reservation during checkout, and multi-tenant isolation so one brand's campaign does not degrade another's throughput.
Grounded AI support
AI support agents need order and catalog context via tool calls — not generic FAQ responses. 70% resolution rates require RAG grounded in live data with human escalation for disputes.
Peak-event readiness
Peak events — Ramadan, festival season, flash sales — must be load-tested in advance. Production observability tracks transaction volume, payment success, and API health in real time.