“Using predictive analysis helps this manufacturer look at their business in the future, rather than in a rear view mirror.”
- Michael G. Simms, Practice Director,
Data & Analytics, Columbus
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.