The inventory system of Johnson Controls was managed manually, causing inaccuracy in orders thus leading to huge problems with client satisfaction.
Developing an automated allocation model to enable planning and inventory forecasting.
Building a pipeline by collecting, cleaning, and organizing data from different sources to be gathered in one dataset. Developing an algorithm that accurately allocates resources Providing the results in the format that Johnson Controls requested.
Johnson Controls was able to cut down the time spent on the order allocations by at least 80%. Accuracy of the orders jumped to 95%, which before the implementation, the accuracy was close to 0%.