The client held multi-structured sales data across ERP systems and disparate external sources. Identifying correlations between sales performance and external factors — geography, seasonality, and temperature — was a major blocker to accurate forecasting.
Consolidated multi-structured data from ERP systems and external sources into a unified analytical layer enabling reliable forecasting inputs.
Performed thorough analysis of links between regional sales, product mix, and external factors including geography, seasonality, and environmental variables.
Developed time series forecasting models calibrated to the client's sales patterns across locations and product categories, improving forecast accuracy.
Delivered comprehensive planning tools enabling business users to run scenarios and support supply chain and inventory decisions.
Delivered analysis and insights on historical data to support accurate, data-driven sales forecasting.
Enabled analysis of sales composition and regional performance to guide inventory and distribution planning.
Forecasting tools empowered business users to run scenarios and make proactive supply chain decisions.