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Manufacturing & Industrial IoT
Production Planning Optimization
Optimization-driven production planning that increases throughput and reduces resource waste via ML + LP.
Productivity Increase
22
%
Annual Savings Currency
₹46000000
Resource Optimization
30
%
The Challenge
Inefficient factory scheduling leads to 20% productivity loss and resource waste.
Our Solution
Regression models and anomaly detection combined with optimization (linear programming) to create optimal production schedules and reduce waste.
TECHNOLOGIES USED
PythonLinear ProgrammingScikit-learnPostgreSQLPlotly Dash
Ideal For
Factories
Process industries
Discrete manufacturing
Visual Insights