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Case Study: Defending $480K in Inventory at a
US High-Value Retailer

Client Profile

Apex Electronics (Confidential)

Location

Dallas, Texas, USA

Industry

Premium Consumer Technology Retail

Timeline

90 Days (Q1 2026)

Objective

Curb shoplifting using behavioural AI alerts.

Executive Summary

In early 2026, Apex Electronics faced a growing “shrink” problem at its Dallas flagship store. While traditional security measures were in place, the speed and coordination of modern theft surpassed manual detection capabilities. By implementing CAPASai’s “Defense-First” Video Analytics, the retailer shifted from reactive investigation to real-time prevention. Over a 90-day pilot, Apex achieved a 41% reduction in monthly shoplifting losses, proving that AI-driven behavioral monitoring is the most effective deterrent in the current US retail landscape.

1. The Landscape: A Multi-Billion Dollar Challenge

To contextualize the challenge at Apex, it is vital to look at the broader US and global retail trends. As of 2026, retail theft has moved from a nuisance to a significant macroeconomic threat.

The Numbers: US vs. Global Impact

    • Global Context: According to the 2026 Total Retail Loss Benchmark Report, global retail shrink—encompassing theft, fraud, and operational errors—totaled $796 billion in 2025.
    • The US Market: The United States remains a primary target. Recent findings from the National Retail Federation (NRF) indicate that US retail shrink has climbed to over $112 billion annually.
    • The High-Value Target: High-value electronics are particularly vulnerable. Industry data shows that individual shoplifting incidents in the electronics sector now cost retailers an average of $460 to $515 per event (Source: Safe and Sound Security 2026 Trends).

2. The Challenge: Sophisticated Losses

Apex Electronics was experiencing an average inventory loss of $16,000 per month. The theft was primarily driven by two categories:
  1. Professional Concealment: Shoplifters using “booster bags” to block door sensors.
  2. Organized “Pushouts”: Coordinated groups grabbing multiple items and sprinting to the exit, often bypassing staff before they could react.

3. The Solution: CAPASai Behavioral Defense

CAPASai was integrated into the store’s existing CCTV system. Unlike traditional motion detection, the AI was configured to flag intent-based behaviors
A. Reach-and-Conceal Detection

The AI identified specific physical signatures of theft, such as an individual reaching for multiple high-value items and stashing them under a jacket or in a non-store bag. When the system reached a “high-confidence” threshold, it sent a silent alert to the Loss Prevention (LP) team’s mobile devices.

B. Exit-Zone High-Velocity Alerts

CAPASai monitored the vestibule for “high-speed approaches.” If a person with unpurchased items moved rapidly toward the door, the system instantly alerted the front-of-house team to perform a “safety check” or offer assistance, effectively deterring the theft before the individual left the premises.

4. The Results: 90 Days of Impact

A. Quantifiable Reduction in Shrink The impact on Apex’s bottom line was immediate.
  • Monthly Loss Reduction: Monthly shrink dropped from $16,000 to $2460.
  • B. Legal and Litigation Defense
    • Biometric-Free Evidence: Because the system focused on skeletal behavior (movement patterns) rather than facial profiling, Apex was able to prove that alerts were triggered purely by suspicious actions, neutralizing potential claims of profiling.
    • Prosecutorial Support: CAPASai’s high-fidelity logs of different incidents provided the “chain of evidence” required by  law enforcement to move forward with ORC prosecutions.

    5. ROI: The "Negligible Cost" Advantage

    The financial case for CAPASai in the US market is built on the speed of recovery.

    • ROI Timeline and Subscription Value: Given the high price point of electronics, the CAPASai subscription fee is negligible compared to the thousands of dollars saved in a single prevented “pushout” event

    Replace guesswork and manual scanning with algorithmic precision. Our AI monitors complex environments with total impartiality, ensuring every incident is captured without the inevitable risks of human fatigue, distraction, or cognitive bias.

    Contact

    US 🇺🇸 george@capasai.us

    UK 🇬🇧 soji@capasai.uk

    India 🇮🇳 reachus@capasai.com

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