- Alex M
- Case Study
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Slash fulfillment costs with data-driven supply chain optimization! We strategically assign orders to plants and optimize transportation across lanes, leveraging insights from both historical data and predictive maintenance. This ensures timely deliveries at the lowest possible cost, maximizing your efficiency and profitability.
Challenge
Stop burning cash on fulfillment! We streamline your supply chain, strategically assigning orders and optimizing transportation across lanes. Get faster deliveries at lower costs, delighting customers and boosting your bottom line. Leverage data-driven insights for smarter decisions – unlock hidden savings in your fulfillment process today!
- Turn Your Data into your most powerful asset
- Predictive analytics for manufacturing operations
- Make data-driven decisions for improved manufacturing profitability
Activity
- We identified insufficient features in the client’s current model and concluded that the linear optimization model currently used for order management is not scientifically suitable for solving the task.
- We designed a new transportation lane cost prediction model and an optimization model. Additionally, we introduced a stochastic optimization approach.
Solution
- We created a new optimization method (stochastic optimizer) that outperformed Gorubiand significantly improved task handling within the Application computing system
Benefit
- Reduce error of prediction from 30% down to 9%.
- Multi Million $ savings on transportation and operations cost.