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.