Supply Chain Optimization for a Manufacturing Company

Stuti Agarwal

Data Scientist
Business Strategist
AI Model Developer
Matplotlib
Python
TensorFlow
Team Size: 2
Project Summary:
In this project, based on the historical data from warehouses and costs of maintenance, distribution times, transportation and packaging costs we built a SCM optimization process which gives the most optimized routes, based on warehouse capacity and operations cost to while minimizing resource wastage and optimizing arrival times at distribution centers by tracking the demand distribution.
Requirements from the client:
Warehouse data: Storage, number of workers, accessibility, type, historical usage data
Cost per partial path: transportation and packaging costs
Process Estimates: Average processing time, domain variables, process description
Requirements or Sources for materials
Distribution centers / customer locations
Project Outcomes:
Increased Cost-Efficiency by 23% for a quarter (INR 48L)
Improved resource utilization by over 48%
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