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Engagement anomaly insights.
Unexpected spikes and drop-offs in engagement often signal problems long before sales metrics react. We reveal where shoppers engage too little or too intensely, and which targeted interventions restore a healthier balance between attention, dwell, and conversion.

Use engagement anomalies as a continuous control signal for category, promo, and content decisions.

We help retailers detect where engagement patterns break away from expectations and what that means for conversion and experience.

Physical stores generate rich but uneven engagement across categories, touchpoints, and campaigns, yet most anomalies remain invisible until they distort performance. BIEM turns engagement anomalies into a measurable signal, showing where shoppers skip past expected anchors, linger unexpectedly, or cluster in ways that do not translate into sales. By stabilizing human signals into structured features, BIEM links these anomalies to specific locations, fixtures, promotions, and service setups. Retailers gain a defensible basis for refining assortments, adjusting in-store narratives, and orchestrating staff so that engagement supports, rather than undermines, commercial outcomes.

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
  • Automotive
  • Corporate
  • Event Venues
  • Public Spaces
  • Cultural Venues
  • Hospitality

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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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