Demand Forecasting and Inventory Optimization using Machine Learning
Client: Confidential (US-based Food Distributor)

Project Overview

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Our team successfully completed a demand forecasting and inventory optimization project for a leading food distributor in the US. By leveraging advanced machine learning algorithms and delivering insights through Power BI, Our solutions led to a 99% service level and a significant revenue increase.

Objective

Challenges :

1. The client experienced concerns with the quality of their services. Their service rate was at 70%. This caused revenue leakage and customer dissatisfaction.

Goal :

Improve service level to near 100%
Achieve a decent demand forecasting accuracy.
Optimize Inventory Management.

Approach

We employed advanced machine learning algorithms to predict the demand for perishable products accurately. Our approach included comprehensive data preprocessing and feature engineering.

Results

Achieved 90% accuracy in demand forecasting
Improved service level to 99%
Generated an additional $3M-$4M annulised revenue

Impact

Our project significantly enhanced the client's ability to meet customer demands, resulting in higher customer satisfaction and substantial revenue growth.