Case Study
A UK based warehousing chain struggled to accurately forecast revenue due to fluctuating seasonal sales and external market factors, impacting inventory and staffing decisions.
We developed a revenue forecasting model using time series analysis and regression algorithms. The system integrated live POS data and historical sales to predict weekly and monthly revenues.
Python (Prophet, XGBoost), Tableau, Azure Data Lake
Predictive analytics empowered the client with accurate, data-driven revenue planning and resource management.
Client Website:
https://www.lcb.co.uk/
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