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A plant was missing delivery dates on one in five orders — with no system to see why.

A manufacturing plant needed production schedules that accounted for inventory, maintenance, and leave before committing to customer dates.

Client

Manufacturing Plant

Duration

4 months

Industry

Manufacturing

−50%Orders Missing Expected Date
ImprovedCustomer Satisfaction
DailyAutomated Planning Cycle
LiveOrder-to-Deadline View

Client problem

In their words

Production scheduling ran on first-come-first-served logic with no visibility into material inventory, maintenance schedules, or planned leave. Twenty percent of orders were missing customer expected dates. Known delays were discovered too late for proactive communication, eroding customer trust without a clear operational cause.

What ZapSight built

One operating system around the risk pattern

  • Integrated customer ordering system to provide a live view of all orders with expected dates
  • Connected inventory data, planned maintenance schedules, and holiday calendars into the planning system
  • Ran a daily automated planning schedule highlighting all orders at risk of missing their expected date
  • Sent automated customer confirmation emails on expected delivery at order intake
  • Built an automated raw-material ordering report based on expected production and supplier lead times

Technologies Used

PythonERP IntegrationLangGraphPostgreSQLEmail Automation