Predictive Analytics & Forecasting for Manufacturing

The data audit comes first and it frequently changes the project. Missing history, inconsistent SKUs and unrecorded stockouts are more common than clean warehouses.

In manufacturing, plant networks are unreliable and decisions must happen locally in milliseconds. That single fact reshapes how predictive analytics & forecasting has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is visual defect inspection, usually integrated against quality management systems. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Multi-model by default, so a provider outage is a routing decision rather than an incident. We hand over with runbooks, tests and a team that knows how it works, not a dependency.