Out-of-Stock exposure analytics.
Visible stock gaps quietly erode trust and revenue long before they show up in reports. We reveal where out-of-stock moments surface in front of shoppers, how long they remain exposed, and which targeted interventions contain both lost sales and perceived unreliability.
We help retailers understand where and when out-of-stock situations become visible to shoppers and how to minimize their impact on trust and sales.
Physical stores experience constant micro-fluctuations in availability, but most gaps remain unnoticed until customers encounter empty shelves, broken facings, or missing promotions. BIEM turns out-of-stock exposure into a measurable signal, showing which locations and categories are affected, how long gaps persist, and how shoppers behave around them. Using privacy-preserving edge analytics, BIEM links visible stockouts to specific fixtures, replenishment routines, promotional mechanics, and staffing decisions. Retailers gain a defensible basis for adjusting planograms, fine-tuning replenishment, and orchestrating tasks so that high-sensitivity categories are protected from prolonged out-of-stock exposure.