AgentsSeptember 14, 2026via AWS Machine Learning Blog
Automate replenishment with MMF, Databricks Genie, and Amazon Quick
Why it matters
This is agent infrastructure in production: a multi-step autonomous workflow (forecast → check supplier inventory → place orders → escalate) deployed on Databricks Genie and Amazon Quick. It shows how practitioners are moving past single-tool forecasting into multi-agent decision loops.
Key signals
- Closed detect-decide-act loop for supply-chain automation
- Integrates: demand forecasting (MMF) → inventory checking (Amazon Quick) → autonomous ordering
- Escalates to human only when no supplier can cover surge
- Built on Databricks Genie and Amazon Quick (agent infrastructure)
- Supply-chain replenishment as a multi-step autonomous workflow
- Closed detect-decide-act loop: forecast → supplier availability check → automated order placement
- Built on Databricks Genie (agent orchestration) + Amazon Quick (supplier integration)
- Handles catalog-wide demand surges autonomously
- Escalation logic: human-only when no supplier can cover demand
- Published as AWS blog post / reference architecture (Sep 2026)
The hook
Not a pilot. Databricks and Amazon built a closed detect-decide-act loop that places replenishment orders unattended, escalating to humans only when suppliers can't cover demand.
Foundation models made catalog-wide demand forecasting easy; the hard part is now acting on the forecast. This post builds a closed detect-decide-act loop on Databricks and Amazon Quick that reconciles demand surges against live supplier availability and places replenishment orders unattended, escal…