Client: Large Online Retailer

Industry: Retail

Solution: Demand Forecasting

Objectives: Improve target stock levels management

Challenges:

Data Integration: Build a data lake and an data engineering pipeline for historical data.

Scalability and Performance: Find the best cloud solution for large data preprocessing.

Complex Forecasting Models and Algorithms: FInd and tune the machine learning models for the best forecasting results.

Solution Details:

Through iterative training we found the best machine learning algorithms to create a predictive tool for this consumer electronics retailer. By analysing historical data and identifying patterns, we developed a solution that enables the client to forecast market trends and make informed decisions on their inventory management.

Our data engineering team ensured that the system could handle large datasets efficiently, while our machine learning experts fine-tuned the algorithms for maximum accuracy.