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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.

Use out-of-stock exposure as a continuous control signal for inventory and store operations.

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.

Guesswork ends today.

Start turning store signals into early operational decisions that surface drift, guide interventions, and prevent performance from slipping unnoticed.

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Industries

  • Retail
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Solutions

  • Digital Signage
  • Content Performance
  • Attention Shift
  • Engagement Anomalies
  • Aisle Crowding
  • Out-of-Stock Exposure
  • Dwell Time Anomalies
  • Overload Signals
  • Staffing Alignment
  • Checkout Allocation
  • Content Segmentation
  • Queue Management
  • Holistic Models
  • Layout Performance
  • Demand Volatility
  • Trend Analysis

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