Cleaning products manufacturer consolidates and leverages data

Cleaning products manufacturer consolidates and leverages data from across systems to better adapt production to meet shifts in the market and seasonal demand. A manufacturer that makes and distributes industrial and consumer cleaning products stored data on their various product SKUs in multiple locations; retail-sales data lived outside of their core ERP solution. That made it difficult for the company to plan for expected – and unexpected – changes in the market. Using Advanced Analytics in Microsoft Azure AI, Columbus Global worked with the company to consolidate data in a data lake to build a reliable forecasting model based on historical sales, weather, and other factors. As a result, this company could improve the distribution of products for better use of inventory and improve decision-making overall. Benefits include: • Improved efficiencies and savings from better raw-materials inventory planning • Increased revenue due to better product distribution and readiness for seasonal demand • Enabled forecasting of needs driven by market trends and weather forecasts to ensure they have the proper inventory to supply demand. Advanced Analytics in Microsoft Azure AI Medium (50-999 employees) Manufacturing USA Power BI