Industries · Manufacturing & Supply Chain

Autonomous Agents for Resilient Operations

Closed-loop agents that watch supplier signals, predict disruption, reschedule production and draft the customer comms — with humans in the loop on every commitment.

Where the closed loop pays back fastest

›Disruption signals (port, weather, supplier) found 48 hrs too late
›S&OP cycles run monthly when they should re-plan weekly
›Quality data sits in MES, vision, and complaints with no closed loop
›Customer comms about delays still hand-written one PO at a time

High-ROI use cases

Disruption-response agent

Ingests supplier feeds, port telemetry and weather; predicts impacted POs; proposes re-routing and substitutions.

20–35% reduction in expedite spend

S&OP co-pilot

Continuously refreshes forecast with closed-loop signal from sell-through, returns and macro indicators.

Forecast bias cut 30–50%

Quality closed loop

Correlates inspection, vision and field-complaint data; drafts CAPA candidates; tracks effectiveness.

20% faster root-cause to closure

Customer-delay comms

When a PO slips, agent drafts the email with revised dates, alternatives and incentives, ready for CSM approval.

Hours per CSM per week reclaimed

Reference stack

MCP servers for ERP (SAP, NetSuite, Oracle) and TMS
Time-series + vector hybrid retrieval
LangGraph multi-agent with explicit hand-off to planners
Langfuse evals on plan quality

Guardrails

Agents propose; planners commit
Every action carries the upstream signal that produced it
Cost-to-serve modeled before any reroute proposal

We work with OC, Inland Empire and Long Beach-port adjacent manufacturers. Ask for a closed-loop disruption demo using your last quarter of data.