Retailers with hundreds of stores have a high frequency of “stock outs” on popular items while carrying unnecessarily high quantities of slow-moving stock. Store managers restock based on replenishment rather than demand.
Continuously monitor store POS and execute a demand planning algorithm. A store manager receives a recommendation on reorder quantities, taking predicted demand into account and an AI bot validates the reorder actions by the manager.
Reduce in-store stockholding and increase revenue due to reduced stock outs.
Improve customer experience.