CASE STUDY
Truck Load Mix Paring Optimization
About The Client
Our client is a leading American beverage manufacturer conducting business across all 50 states and is responsible for meeting the demand in the USA. Their business is growing, and the client wants to automate their supply chain to distribute the workload of their 40 manufacturing plants.
Industry | Manufacturing
Solutions | Azure, Docker
Location | USA
Business Challenges
- Create a manual SKU load plan for all deliveries in a day.
- Pick the best SKU load plan for each delivery.
- Struggle with multiple versions to reduce operational costs
- Rank SKU load plans for each delivery.
Business Solutions
- Python programming language to develop the algorithm.
- FastAPI framework to develop high-performance based on the Python type hints.
- Containerize the entire application to improve scalability.
- Generate SKU load patterns in minutes for each delivery.
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