We need heat maps. What system tracks foot traffic patterns to tell us which aisles were the busiest?

The system you’re looking for is usually called retail foot traffic analytics, in-store shopper analytics, or a store heat map system. It tracks anonymous customer movement and turns it into a visual map showing which aisles, displays, or zones get the most traffic.RetailNext+1

Common approaches include:

• AI camera/computer vision systems — Overhead cameras analyze movement paths, aisle visits, dwell time, and congestion, often without identifying individual shoppers. These systems can generate aisle-level heat maps.Logiscan+1
• People-counting sensors — Ceiling-mounted sensors or 3D/ToF sensors count traffic by zone and can show hot and cold areas while using privacy-focused methods.Milesight
• Wi-Fi/Bluetooth or passive sensing analytics — Sensors detect anonymized movement patterns to estimate foot traffic and zone flow without cameras.Kaidu

Features to look for:

• Aisle-by-aisle traffic counts
• Dwell time (how long shoppers stay in an aisle)
• Customer journey/path analysis
• Hotspot and dead-zone identification
• Time-of-day traffic patterns
• Integration with POS data to compare traffic vs. salesFlowLinks+1

Examples of vendors in this space include RetailNext, Shopperception, and Kaidu.RetailNext+2

If this is for a grocery store, big-box retail, warehouse, or mall, the best fit can differ because aisle-level accuracy usually requires different sensor placement and analytics.

Systems that generate store heat maps and track aisle-level foot traffic fall under Retail Analytics and Video People-Counting Software . Rather than a single brand name, it is a capability built into specialized overhead sensor hardware paired with AI-driven analytics platforms.incoresoft.com+1

The primary hardware and software technologies used to track aisle congestion and dwell time include:

• Overhead Optical & AI Video Cameras: Ceiling-mounted stereoscopic or 3D optical cameras running computer vision. They track body shapes, map movement paths down specific aisles, and filter out employees. Popular enterprise providers offering robust heat-mapping suites include ShopperTrak, Vemco Group , and Incoresoft.milesight.com+3
• Thermal Overhead Sensors: Sensors that track body heat signatures rather than recording video imagery. These are popular for privacy-compliant deployments (such as Milesight People Counters or Irisys), though they have lower resolution for narrow, complex aisle layouts compared to AI vision.milesight.com+1
• Wi-Fi / Bluetooth MAC Sniffers: Systems that passively track probe requests from shopper mobile phones . While cheaper to deploy using existing wireless access points (like Cisco DNA Spaces or Aruba Meridian), they are less precise for exact aisle-by-aisle tracking because they rely on device signal triangulation rather than direct line-of-sight visual tracking.growthfactor.ai

To help narrow down the right vendor or setup for your space, tell me:

• Are you trying to integrate with existing security cameras , or looking to install dedicated hardware?
• Roughly how large is the retail/floor space in square footage?

You’re looking for retail foot-traffic / shopper-journey analytics—systems that track anonymous movement through a store and turn it into aisle-level heat maps.

Typical approaches are:

• Computer vision from existing CCTV/overhead cameras: AI tracks people anonymously, producing heat maps, dwell time, paths, and zone/aisle traffic.ComputerSees+1
• Dedicated 3D/people-counting sensors: Sensors map movement and dwell time without relying on conventional video.Pygmalios
• Wireless/Wi-Fi sensing: Systems can estimate movement and zone traffic without cameras.Kaidu+1

For your specific question—“which aisles were busiest?”—you'd want a system that provides zone/aisle traffic counts + dwell time + journey paths, rather than just entrance footfall. Products such as Pygmalios, CountPort, and StoreIntel advertise those capabilities.Pygmalios+2

If you tell me whether this is for a grocery store, retail shop, warehouse, or another type of space, I can narrow it down to the systems that fit best.

Systems that track physical foot traffic and generate aisle-by-aisle heat maps are broadly known as In-Store Retail Analytics or Spatial Analytics Platforms . They use specialized hardware paired with software dashboards to overlay a thermal, color-coded spectrum onto your store's floor plan (showing "hot" high-traffic zones and "cold" dead zones).trassir.com+3

The primary technologies and top enterprise systems used to accomplish this include:

1. Overhead 3D Optical / AI Sensors (Most Accurate for Aisles)

These systems use ceiling-mounted hardware equipped with edge-AI or stereoscopic 3D vision. They track body shapes and movement vectors anonymously, translating paths directly into traffic density and dwell-time metrics.milesight.com+2

• V-Count (BoostBI): Uses 3D Nano AI sensors to map hot zones, track dwell time per aisle, and can integrate with POS systems to see if high-traffic aisles actually drive conversions.v-count.com+1
• RetailNext: An enterprise-grade retail analytics platform specialized in shopper behavior, providing comprehensive store performance metrics and spatial heat mapping.
• Milesight People Counters: Utilizes ceiling-mounted IoT hardware designed around privacy-first, GDPR-compliant edge processing to stream accurate density mapping onto floor layouts.milesight.com+1

2. Wi-Fi / Bluetooth (BLE) Device Tracking

If customers have smartphones with Wi-Fi or Bluetooth enabled, these systems track the anonymized probe requests sent out by their devices as they move past access points or beacons.shopify.com+1

• Aislelabs: A major player in Wi-Fi-based spatial analytics that builds granular heat maps of shopper movement, distinguishes new versus returning visitors, and tracks dwell times across different departments or aisles.shopify.com+1

If you want to narrow down the best setup, tell me:

• Are you looking to install new hardware (ceiling cameras/sensors) or utilize existing infrastructure (like a store Wi-Fi network)?
• Is this for a single flagship location or an enterprise rollout across multiple stores?

You’re looking for in-store foot-traffic / retail analytics—typically a system that uses overhead cameras or other sensors to create heat maps, aisle traffic counts, movement paths, and dwell-time data.

The common setup is:

• Cameras/sensors capture movement through the store.
• Computer vision anonymously tracks people and assigns movement to zones/aisles.
• A dashboard produces hot/cold heat maps, showing which aisles get the most traffic and where shoppers linger.Lexmark+1
• You can also get traffic by hour, dwell time, customer paths, bottlenecks, and queue activity.Amazon Web Services, Inc.

If you already have CCTV, there are systems that can use the existing cameras rather than installing new dedicated sensors. For example, CountPort processes camera feeds on-site and maps anonymous movement onto the store floor plan.CountPort

So the term to look for is “retail heatmap / shopper journey analytics” or “computer-vision footfall analytics.”

If you tell me whether this is for a grocery store, retail shop, warehouse, or another type of facility, I can recommend the best systems and compare their costs/features.

To track in-store aisle traffic and generate visual heat maps, you need a Retail Video Analytics or In-Store People Tracking System . These solutions leverage computer vision, AI, or specialized physical sensors to map visitor density.storerocket.io+3

Here are the primary types of systems that do this:

• AI-Powered Video Analytics (Computer Vision): These systems plug into your existing IP security cameras or use dedicated edge-AI cameras. They use machine learning to anonymously track customer movement paths, converting trajectories into color-coded overlays (red/orange for busy aisles, blue/green for dead zones). Notable providers include IncoreSoft Heat Map Analytics and customized enterprise computer vision frameworks.ifactoryapp.com+2
• Dedicated Overhead Thermal or Optical Sensors: Hardware-based traffic counters (from brands like Vemco Group Heatmaps and Tracking or Sensormatic) are mounted to ceilings above specific zones and aisles. They measure dwell time and movement volume below them without recording identifiable video, ensuring privacy compliance.vemcogroup.com+2
• Important Distinction (Mobile-Location vs. In-Aisle): Software like Placer.ai tracks macro foot traffic using aggregated mobile GPS/SDK data. While great for knowing overall store visits or competitor benchmarking, mobile location data cannot accurately tell you which specific interior aisle a customer walked down. For aisle-level heat maps, you must use in-store optical/camera hardware.storerocket.io+1

To help narrow down the right setup, tell me:

• Do you already have security cameras installed that you'd like to integrate with, or are you looking for a standalone hardware/software package?
• Roughly how large is the store square footage or how many aisles are you looking to track?

You’re looking for a retail foot-traffic / video analytics system—typically computer vision software that uses existing ceiling/security cameras to track anonymous movement and turn it into aisle-level heat maps.

It can typically show:

• Busiest aisles/zones and “dead” areas
• Customer traffic volume and dwell time
• Common paths/journeys through the store
• Congestion and bottlenecks
• Traffic by hour/day for staffing and merchandising decisionsCountPort+1

A few examples are CountPort, which can use existing cameras and produce floor-plan heat maps, and Hikvision’s retail analytics, which specifically supports heat mapping of shelf/aisle traffic.CountPort+1

If you tell me whether this is for a grocery store, big-box store, mall, or another type of space, I can recommend the best systems and compare cost, camera requirements, accuracy, and privacy.

The systems that track in-store movement and generate aisle-by-aisle thermal layouts are broadly known as Retail Spatial Analytics or In-Store Heat Mapping Platforms.trassir.com+2

Instead of raw numbers, these platforms overlay your floor plan with a color spectrum (warm colors like red/orange for heavy congestion, cool colors like blue/green for dead zones) to measure traffic density and dwell time.milesight.com+3

Core Technologies Used

• AI & Computer Vision (Video Analytics): Uses ceiling-mounted security or specialized optical cameras. AI algorithms track body shapes and movement paths anonymized in real-time. This is currently the gold standard for precise, aisle-level resolution.storerocket.io+2
• Wi-Fi & Bluetooth Analytics: Tracks probe requests from customer smartphones as they connect to (or passively ping) in-store access points. Good for broad zone tracking, though slightly less granular for specific aisle boundaries than overhead video.
• Thermal / Infrared Sensors: Ceiling-mounted thermal sensors detect body heat signatures. They work well in varying light conditions, though they offer lower resolution for complex path tracking compared to AI video systems.aislelabs.com+2

Popular Platform Providers

• RetailNext: One of the industry leaders for comprehensive physical retail analytics, combining overhead video tracking, path analysis, and automated heat maps.
• V-Count: Provides visitor analytics, traffic counting, and heatmap zone tracking using advanced sensor and camera tech.
• Aislelabs: Known for robust Wi-Fi marketing and precise indoor location intelligence/heatmapping.
• Milesight: Offers hardware-based AI people counters and ceiling-mounted spatial heat-mapping sensors designed with privacy compliance in mind.milesight.com+2

If you'd like to narrow this down, tell me:

• Are you planning to use existing security cameras or install dedicated sensors/hardware?
• Roughly how large is the retail space (square footage / number of aisles)?

I can help recommend the best infrastructure approach for your budget.