How MyStoreGuard helped a national retailer cut inventory losses by 40%

Overview

A leading national retail chain operating more than 20 stores faced growing inventory losses that were impacting profitability across its operations. Traditional loss prevention methods relied heavily on manual audits, delayed reporting, and fragmented systems, making it difficult to detect issues before they became costly.

By implementing MyStoreGuard, the retailer transformed its approach from reactive investigations to proactive, AI-driven inventory monitoring.

Challenge

The retailer was experiencing an estimated $12 million in annual inventory shrinkage caused by theft, operational errors, and stock discrepancies.

Several factors contributed to the problem:

• • Limited real-time visibility into inventory movement
• • Manual audits that identified issues weeks after they occurred
• • Disconnected POS, inventory, and surveillance systems
• • Time-consuming investigations requiring extensive manual review
• • Inconsistent reporting across hundreds of store locations

Solution

MyStoreGuard deployed its AI-powered retail intelligence platform across all 200+ locations in under 90 days.

The platform unified data from multiple sources, including point-of-sale transactions, shelf and inventory sensors, warehouse inventory systems, store operations data, and predictive analytics models.

Using machine learning, MyStoreGuard continuously monitored inventory activity, detected unusual patterns, and alerted store teams to potential risks before they escalated into significant losses.

Managers gained access to intuitive dashboards that prioritized high-risk events, enabling faster investigations and informed decision-making.

Results

Within the first six months, the retailer achieved measurable improvements across its operations.

40% Reduction in Inventory Losses — AI-powered monitoring significantly reduced shrinkage, preventing millions of dollars in avoidable losses.

$4.8 Million Saved Annually — the organization recovered an estimated $4.8 million in annual savings through improved inventory visibility and early risk detection.

65% Faster Investigations — real-time alerts and centralized analytics reduced investigation time by 65%, allowing teams to focus on high-priority incidents instead of manual data gathering.

Improved Operational Visibility — regional managers gained a single source of truth for monitoring store performance, identifying recurring issues, and benchmarking locations across the network.

Impact

The implementation fundamentally changed how the retailer approached loss prevention.

Instead of discovering problems after inventory counts, teams could identify anomalies as they happened, respond faster, and continuously improve operational performance through data-driven insights.

The result was not only lower shrinkage but also greater confidence in inventory accuracy, more efficient store operations, and stronger executive visibility into retail performance.

What's Next

Following the success of the in-store deployment, the retailer is expanding MyStoreGuard across its e-commerce fulfillment network.

The next phase will extend AI monitoring to warehouses, distribution centers, and online order fulfillment, with the goal of reducing digital supply chain losses by an additional 20% while providing end-to-end visibility across the entire retail ecosystem.