Manufacturing success hinges on balancing demand, inventory, and production capacity. We worked with a leading industrial goods manufacturer to address a core pain point: How can we forecast more accurately and plan production with less firefighting?
In forecast accuracy
In expedited shipments and production reschedules
We connected order history, distributor pipelines, production logs, and plant capacity data into a centralized planning dataset.
We deployed intelligent agents with weekly S&OP meetings for review and refinement by planners and supply chain heads.
We integrated AI recommendations into existing planning workflows with human review and what-if scenario testing.
| Agent Type | Role |
|---|---|
| Forecasting Agent | Predicted SKU-level demand across geographies |
| Production Planner Agent | Suggested plant-level production schedules |
| Inventory Balancer Agent | Proposed stock levels and triggers |
| Insight Agent | Shared alerts and highlights for planner review |
Planning became data-led, not spreadsheet-led
Teams gained time to optimize vs. react
Fewer last-minute changes, better OTIF (on-time in-full) performance
In manufacturing, AI works best when paired with domain knowledge. ZapSight delivered forecasting intelligence + human validation, enabling faster, smarter, and more stable planning cycles.
Transform your manufacturing operations from reactive firefighting to proactive, data-driven planning.