BIRetail empowers retailers to make quicker and informed decisions, through inferences of their own data.
When an item is required in more locations than the quantity available, a lot of manual effort is required to intelligently decide which location to send to.
When demands of items goes unfulfilled, iterative decision-making is required to allocate replacement items.
Base Stock requires frequent calibration, to be in sync with dynamically trends. Manual adjustments to Base Stock is time-consuming, hence is done far and between.
Static and standard size ratio across all Category Buckets and all Stores leads to remnant odd sizes of items at different locations.
Deciding optimal item depth is a balancing act between preventing OOS and unnecessary over-stocking. It requires frequent repeat cycles hence is often compromised.