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Customer Dwell Time & Heatmap Analytics

Understand Where Customers Spend Time In‑Store

Analyze customer dwell time and movement patterns using AI‑powered heatmap analytics to optimize store layout, product placement, and in‑store experience.

Why Retailers Lack Visibility Into Customer Behavior

Without clear insights into how customers move and linger inside stores, retailers struggle to optimize layouts and maximize conversions.

No Visibility Into High‑Interest Zones

Retailers cannot easily identify which areas attract attention and which zones are ignored.

Inefficient Store Layout Decisions

Layout and merchandising changes are often based on assumptions rather than data.

Missed Conversion Opportunities

Customers may spend time browsing without purchasing due to poor product placement or congestion.

Turn In‑Store Cameras Into Customer Behavior Intelligence

Mikshi AI analyzes live camera feeds to understand how customers move, pause, and dwell across store areas. These insights are centrally analyzed and visualized through dashboards, heatmaps, alerts, and reports—enabling data‑driven decisions to improve store performance.

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Dwell Time Analytics: Measure how long customers spend in specific aisles, displays, or sections.

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Heatmap Visualization: Visual heatmaps highlight high‑traffic, low‑traffic, and congestion‑prone zones.

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Zone‑Wise Performance Reports: Analyze how layout, promotions, and displays impact customer engagement.

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Multi‑Store Behavioral Insights: Compare customer behavior patterns across multiple stores or 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 to track anonymous movement and dwell patterns.

Dwell & Heatmap Generation

Movement data is aggregated to generate dwell metrics and heatmaps.

Unified Application & IoT Actions

Heatmaps, analytics, and reports are displayed on dashboards for easy interpretation.

Measurable Safety Improvements With Unsafe Behavior Detection

One platform delivering smart decisions across the organization

Improvement in High‑Value Zone Engagement

Data‑driven layout changes increase customer interaction with priority products.

Higher Conversion Rates

Optimized placement based on dwell insights improves purchase likelihood.

Better Merchandising Decisions

Heatmaps reveal which displays perform well and which need redesign.

Reduced In‑Store Congestion

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

Turn Customer Behavior Into Actionable Insights

Use AI‑powered dwell time and heatmap analytics to optimize layouts and boost in‑store performance.

Request a Demo

Deployment & Integration

One platform delivering smart decisions across the organization

Works With Existing Store Cameras

No additional sensors or hardware required.

Flexible Deployment Models

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

Privacy‑First Design

Anonymous, aggregate analytics—no personal identification.

Scales Across Retail Networks

Easily deploy across single stores or large retail chains.

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

It measures how long customers spend in a specific area of the store.

No. Analytics are anonymous and aggregated to ensure privacy.

Aisles, shelves, promotional areas, entrances, checkout zones, and trial rooms.

Yes. Heatmaps and dwell metrics can be analyzed across multiple locations.

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

Turn Customer Behavior Into Actionable Insights

Use AI‑powered dwell time and heatmap analytics to optimize layouts and boost in‑store performance.

Request a Demo

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