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Shoplifting & Suspicious Behavior Detection

Detect Shoplifting and Suspicious Behavior Early

Identify potential shoplifting and suspicious in‑store behavior in real time using AI‑powered video intelligence to reduce losses and protect store operations.

Why Shoplifting Is Hard to Prevent Proactively

Retail teams often identify shoplifting only after losses occur, with limited visibility into suspicious behavior patterns.

Suspicious Behavior Is Hard to Spot in Real Time

Staff cannot continuously monitor every aisle, corner, or blind spot—especially during peak hours.

Losses Are Discovered Post‑Incident

Shoplifting is often identified during inventory reconciliation, long after the incident has occurred.

Lack of Evidence for Investigation

Without visual documentation, it is difficult to validate incidents or understand recurring theft patterns.

Turn Store Cameras Into Loss‑Prevention Intelligence

Mikshi AI analyzes live in‑store camera feeds to detect suspicious behaviors commonly associated with shoplifting. Events are centrally analyzed and delivered through dashboards, alerts, and reports—enabling proactive intervention and better loss‑prevention strategies across stores.

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Centralized Loss‑Prevention Analytics: Track suspicious behavior patterns, hotspots, and trends across stores from a single dashboard.

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Real‑Time Suspicious Activity Alerts: Instantly notify store staff when suspicious behavior is detected for timely intervention.

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Automated Incident Reports: Generate time‑stamped reports with visual evidence to support investigations and audits.

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Multi‑Store Visibility & Control: Apply consistent loss‑prevention monitoring across all retail locations.

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How Mikshi AI Works

Optimize logistics with real-time safety intelligence.
Prevent incidents, ensure compliance, and boost performance.

Camera Streams

Live video feeds from existing in‑store cameras are securely captured.

AI Inference (On-Prem or Cloud)

AI models analyze video feeds in real time to identify suspicious behavior patterns.

Detection & Event Generation

Potential shoplifting or suspicious behavior events are detected and logged.

Unified Application & IoT Actions

Events are displayed on dashboards, trigger alerts, and are included in investigation reports.

Measurable Safety Improvements With Unsafe Behavior Detection

One platform delivering smart decisions across the organization

Reduction in Shoplifting Incidents

Early detection and staff intervention help deter theft before it occurs.

Lower Inventory Shrinkage

Improved visibility into suspicious behavior reduces recurring losses.

Faster Incident Identification & Review

Visual alerts and event timelines minimize time spent reviewing footage.

Better Loss‑Prevention Insights

Analytics highlight high‑risk zones, time periods, and behavior patterns.

Reduce Retail Losses With Proactive Detection

Identify suspicious behavior early and strengthen loss‑prevention using AI‑powered video intelligence.

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Deployment & Integration

One platform delivering smart decisions across the organization

Works With Existing Store Cameras

No additional hardware or sensors required.

Flexible Deployment Models

On‑premise, cloud, or hybrid deployment based on IT policies.

Easy Zone Configuration

Apply monitoring to aisles, shelves, trial rooms, or high‑value sections.

Scales Across Retail Networks

Easily deploy across multiple stores or malls.

Industries We Serve

Supporting businesses across manufacturing, retail, logistics, and more.
Flexible, scalable AI built to fit your industry needs.

Smart City (Transport & Venues)

Protect public transit hubs and city squares by detecting unattended bags instantly, supporting anti-terror protocols for immediate assessment.

Healthcare

Ensure hospital safety by detecting unidentified bags in crowded waiting rooms, preventing panic and maintaining clear evacuation routes.

Education

Safeguard students by monitoring corridors and assembly halls for suspicious packages, allowing security to quickly identify and isolate threats.

Retail (Malls)

Enhance shopper safety by monitoring food courts for abandoned luggage, managing security threats without disrupting the shopping experience.

BFSI (Banking & ATMs)

Protect bank branches and ATM lobbies by detecting bags left behind, distinguishing between lost property and potential security threats.

Corporate

Secure corporate lobbies and mailrooms by flagging unattended items left by visitors. Mitigate security risks by ensuring no object is left unowned in sensitive facility areas.

FAQs

Find the answers you need

Behavior such as concealment attempts, unusual loitering, repeated shelf interaction, or movement patterns linked to shoplifting.

No. It supports staff by highlighting potential risks so they can intervene appropriately.

No. The system focuses on behavior patterns, not individual profiling.

Yes. Suspicious behavior trends can be analyzed centrally across locations.

Video can be processed on‑premise or in the cloud, depending on deployment preference.

Reduce Retail Losses With Proactive Detection

Identify suspicious behavior early and strengthen loss‑prevention using AI‑powered video intelligence.

Request a Demo

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