Qnum Analytics is a SaaS solutions provider leading the way to intelligent management of dry bulk inventory in a linear and predictable manner to reduce asset yield losses.
The genesis of Qnum was geared towards providing business consulting and advisory services to manufacturers and distributions of dry bulk inventory. Over time the team comprising of cross-functional experts in data sciences, industrial engineering and finance observed a recurring pain point in the accurate accounting of bulk inventory. The financial penalties, inventory losses and write-offs were a constant feature in all the client environments encountered.
It is then that an inquiry into the traditional inventory accounting practices was initiated. The results were unexpected but profound. The traditional accounting practices which involve silo dipping, bulk stock surveying, bag counting, and ERP system theoretical inventory tracking were misaligned in the manner in which they are reported on inventory. The misalignment was causing the miscalculation of inventory discrepancies.
The team identified an opportunity to develop a solution that would bridge the integration gap between financial records and the inventory measurement techniques by tracking stock transactions in terms of mass and audit equivalent and that was the pivot to becoming an AI data driven SaaS provider.
The team has brought a fundamental disruption in the manner in which inventory is being managed in the manufacturing and distribution sectors and we are able to bring consistency and accuracy in this inventory management process.