Cash Management Company Rethinks Inventory Predictions Using Big Data Analytics

Inventory Optimization & Logistics Case Study

Shops, banks and other retail outlets use our client’s armored transit service and cash warehousing to ensure they always have enough money in the right denominations to run their businesses. To meet this responsibility, our client maintains substantial inventories of cash.

The organization’s leadership wanted to know how much cash-inventory they should hold at each warehouse. But, when they reviewed the figures, it became apparent their predictions were significantly off target and they were keeping larger stocks of cash than was necessary.

Our solution uses modern big data technology and data science to produce a more accurate forecast. 

Download our case study to see the results and understand how big data technology can benefit your organization.