Foot traffic tracking software for aisle heat maps

Jul 5 – Oct 26, 2026Updated Oct 26, 2026Reviewed by

How we measure

Which brands AI mentions

#BrandMentioned in
#1tiedRetailNext42%
#1tiedIncoresoft35%
#1tiedKaidu29%
#4tiedCountPort25%
#4tiedV-Count25%

Mentioned in

ChatGPTChatGPTGoogle AI ModeGoogle AI Mode

Widest split: Kaidu, 58% on ChatGPT and 0% on Google AI Mode.

  • #1tiedRetailNextChatGPT 54%Google AI Mode 29%
  • #1tiedIncoresoftChatGPT 13%Google AI Mode 58%
  • #1tiedKaiduChatGPT 58%Google AI Mode 0%
  • #4tiedCountPortChatGPT 50%Google AI Mode 0%
  • #4tiedV-CountChatGPT 8%Google AI Mode 42%

Questions and answers

  • Google AI ModeOct 26, 2026

    1. 1V-Count
    2. 2Milesight
    3. 3Placer.ai

    To track in-store foot traffic down to specific aisles and generate a visual thermal floor plan , you need a Retail Heat Mapping and In-Store Analytics System .

    These platforms rely on specialized hardware installed throughout the store layout to track movement, measure dwell time, and display activity using a thermal color spectrum (red for high-traffic "hot spots," blue/green for low-traffic "cold zones").

    Primary Technologies Used

    • Overhead Optical/AI Sensors: Ceiling-mounted stereoscopic or 3D depth-sensing cameras (from providers like V-CountV-Count or MilesightMilesight ) track body shapes and movement anonymously, mapping traffic density and dwell duration per aisle.
    • Wi-Fi / Bluetooth Analytics: Sensors pick up probe requests from shopper smartphones as they move through aisles. (Note: This is less precise for exact aisle-level accuracy compared to overhead optical sensors, but good for general zone flow).
    • Software-only vs. Hardware: If you need granular aisle-by-aisle tracking, software-only mobile location data (like Placer.ai ) won't be precise enough; you will need physical ceiling sensors installed above your aisles.

    What These Systems Measure

    • Dwell Time: Distinguishes between shoppers actively browsing an endcap vs. people just walking quickly down a main corridor.
    • Path and Flow Maps: Illustrates the actual routes customers take and where bottlenecks form.
    • Zone Counts: Quantifies the exact number of visitors entering a specific aisle or product category zone over a set period.

    To help narrow down the best setup, could you share:

    • The approximate size of your retail space or number of aisles?
    • Whether you already have security cameras that might support analytics software, or if you need a turnkey hardware solution?

    Sources cited in this answer3

    ChatGPTOct 26, 2026

    1. 1V-Count
    2. 2ALGI
    3. 3CountPort
    4. 4Hikvision

    The system you’re looking for is called retail foot traffic analytics with heat mapping. It tracks customer movement throughout a store and creates color-coded heat maps showing which aisles receive the most traffic, where shoppers spend the most time, and which areas get overlooked.

    Systems that track the busiest aisles

    • People Counting System | People Counter | FootfallCam

    1. V-Count

    (Best for aisle-level analytics)

    Measures zone traffic, shopper movement paths, and dwell time using in-store sensors. Useful for identifying the busiest aisles and comparing traffic across store zones.

    Website:

    • Georgia Retailer Reduces Shrinkage with Hikvision Fisheye, Panoramic ColorVu and People Counting Cameras

    2. Hikvision

    Uses camera-based heat-map analytics to visualize customer traffic patterns and browsing activity. Worth considering if you already have compatible surveillance cameras installed.

    Website:

    • AI-Powered Surveillance System for a Retail Giant

    3. ALGI

    Analyzes camera footage to produce zone-density heat maps, showing high-traffic and low-traffic areas. Useful for evaluating aisle layouts and promotional displays.

    Website:

    • Introducing Dayta Cyclops — Machine Vision in just a few clicks | by Jung Hong Kim | Dayta AI | Medium

    4. CountPort

    Turns existing camera feeds into heat maps showing where shoppers move, gather, and spend time, without identifying individual customers.

    Website:

    Product capabilities are based on vendor documentation.

    What the system can tell you

    • Busiest aisles: Which aisles receive the most shopper visits.
    • Dwell time: Where customers spend the longest time browsing.
    • Traffic flow: How customers move between aisles and departments.
    • Dead zones: Which aisles or displays attract little attention.
    • Time-based patterns: Which areas get busiest by hour or day.

    One important distinction: some heat maps measure how many people pass through an aisle, while others measure how long people stay there. Ideally, you want both metrics to distinguish high traffic from long browsing time.

    One question so I can narrow it down

    What type of store are you tracking?

    1. Store type

    Grocery store or supermarket

    Big-box or department store

    Smaller retail shop

    Warehouse or distribution center

    2. Existing equipment

    We already have security cameras

    We can install new sensors or cameras

    Not sure

    3. Main goal

    Count how many people visit each aisle

    Measure how long shoppers spend in each aisle

    Track routes and movement between aisles

    All of the above

    [Find the right system]

    Sources cited in this answer9

  • Google AI ModeOct 16, 2026

    1. 1RetailNext
    2. 2V-Count
    3. 3Merlin Cloud
    4. 4Incoresoft

    Generating heat maps of customer foot traffic across store aisles requires specialized computer vision or sensor hardware integrated with analytics software.

    Recommended Systems

    1. RetailNext (Insights Platform)
      • Best For: Comprehensive full-path analysis and robust retail intelligence.
      • How it works: Uses proprietary overhead Aurora sensors to track traffic, differentiate shoppers from staff, and map complete shopper journeys alongside aisle-by-aisle heat mapping.
      • Key strengths: Excellent for identifying dead zones, high-traffic corridors, and testing layout changes through pilot vs. control store comparisons. Learn more on the RetailNext Merchandising Solutions page.
    2. V-Count (Nano Prime & BoostBI)
      • Best For: Transparent, modular hardware pricing combined with zone analytics.
      • How it works: Utilizes overhead optical sensors (Nano Prime) configured for specific zones, feeding data into their BoostBI dashboard to build dwell-time intensity heat maps.
      • Key strengths: Differentiates between areas shoppers merely walk through versus places they actively dwell. Offers clear upfront sensor pricing. Check details on V-Count Heatmap & Zone Analytics.
    3. Merlin Cloud (Heatmaps Solution)
      • Best For: Real-time, AI-supported people counting and layout benchmarking.
      • How it works: Leverages deep-learning security/analytics cameras to visualize live movement, custom zone engagement, and bottlenecks across floor plans.
      • Key strengths: Provides instant visual feedback on how specific displays or end-caps perform, and benchmarks layouts across regional store fleets. Explore further via Merlin Cloud Heatmaps.
    4. IncoreSoft (Heat Map Module)
      • Best For: Integrating with existing IP security camera infrastructure.
      • How it works: Video analytics software layer that transforms standard video feeds into traffic flow, dwell time, and zone popularity metrics.
      • Key strengths: Can run on-premise or in the cloud, offering REST APIs and SDKs for custom software integration without necessarily buying proprietary sensors. Read specifications on IncoreSoft AI Heat Map Analytics.

    If you want to narrow this down, let me know:

    • Are you planning to install new dedicated sensors/cameras , or do you want to use existing security cameras?
    • Do you need to integrate foot-traffic data directly with your POS system (like Shopify or Square) to measure conversion rates by aisle/zone?

    Sources cited in this answer7

    ChatGPTOct 16, 2026

    1. 1V-Count
    2. 2RetailNext
    3. 3Xovis
    4. 4FootfallCam

    For your use case, I’d focus on in-store retail analytics platforms that generate aisle-level heat maps, shopper movement paths, and dwell-time reports — not just basic footfall counters. The key is finding a system that shows where customers actually walk, which aisles they visit, where they stop, and which areas they bypass.

    Based on current vendor information, I’d start with V-Count, RetailNext, and Xovis, then compare FootfallCam if you want detailed movement analysis and store-layout optimization. These platforms differ in their sensor hardware, analytics capabilities, and how they scale across locations.

    Recommended systems to evaluate

    • People Counting System | People Counter | FootfallCam

    1. V-Count Nano Prime + BoostBI

    (Best starting point)

    Designed for store-level heat maps and zone analytics. Measures traffic by zone, dwell time, and shopper flow, with heat maps overlaid on a store floor plan. Sales data can also be integrated for more useful merchandising analysis.

    Best for: Retailers who want to identify high-traffic aisles, under-visited departments, and effective promotional displays.

    Website:

    • Insights | RetailNext

    2. RetailNext

    An enterprise retail analytics platform combining people-counting sensors, traffic analysis, and tools to evaluate store layouts and shopper behavior. It is worth evaluating if you also want to connect store traffic with sales and conversion metrics.

    Best for: Multi-store retailers seeking centralized reporting and measurable layout experiments.

    Website:

    • Thiết bị đếm người 3D hãng Xovis

    3. Xovis

    Uses overhead 3D sensors to measure customer movement, dwell time, traffic flow, and activity in configured zones. Its multi-sensor approach is especially relevant for larger spaces and complicated layouts. Confirm which analytics software or partner delivers the specific aisle heat maps you need.

    Best for: Large-format stores, supermarkets, and complex retail floors.

    Website:

    • People Counter | People Counting | FootfallCam | 3D Video Counting

    4. FootfallCam

    Offers people-counting sensors and retail analytics for traffic patterns, customer journeys, and engagement. Include it in your shortlist if you want to compare store-layout analysis and multi-location reporting options. Verify the availability and granularity of aisle-level heat maps for your proposed hardware configuration.

    Best for: Retailers comparing flexible sensor deployments and store-performance reporting.

    Website:

    What the systems can help you measure

    • Maximizing Retail Store Layout Performance with Smart Cardboard Displays From Long Win Display - Long-Win Display

    Aisle traffic heat maps

    See which aisles attract the most shoppers and which are rarely visited.

    • #heatmap #peopletracking #instoreinsights #easycounter #bs4 | BS4 sa

    Shopper paths and flow

    Identify common routes, missed departments, bottlenecks, and dead ends.

    • Myth, Meet Reality: The Problem With Planograms

    Dwell time and product engagement

    Distinguish areas people walk through from displays where they stop and spend time.

    These capabilities depend on sensor placement and configuration. A basic entrance counter will not produce a true aisle heat map; you need sensors or compatible camera analytics that cover the store interior.

    How I would choose

    Your priorityStart with
    Aisle-level heat maps and dwell timeV-Count
    Enterprise analytics across many storesRetailNext
    Large floor plans and complex traffic flowsXovis
    Comparing sensor-based retail analytics optionsFootfallCam

    Questions to ask vendors before buying

    • Floor-plan overlay: Can you upload our actual store layout and see activity by individual aisle, not just department?
    • Movement accuracy: Can the system distinguish shoppers walking through an aisle from shoppers stopping at a display?
    • Staff exclusion: Can employee traffic be excluded from customer heat maps?
    • Sales integration: Can we compare aisle traffic with POS sales, promotions, or product categories?
    • Privacy: Does it process anonymous movement data, and what video or personal data, if any, is retained?
    • Total cost: What are the hardware, installation, software licensing, and ongoing support costs?

    I'd recommend running a pilot for at least two to four weeks, covering both weekdays and weekends, before committing to a full-store rollout.

    Let me narrow this down to the best fit

    One question: What type of store are you operating?

    1. Store type

    Supermarket / grocery

    Big-box / general merchandise

    Specialty retail (apparel, electronics, etc.)

    Warehouse / home improvement

    Other

    2. Number of stores

    One store

    2–10 stores

    11–50 stores

    More than 50 stores

    3. Existing cameras or new hardware?

    Prefer to reuse existing CCTV cameras

    Open to installing dedicated sensors

    Prefer a camera-free solution

    Not sure yet

    4. Budget

    Under $5,000 per store

    $5,000–$20,000 per store

    Over $20,000 per store

    Need pricing guidance first

    [Find the best-fit systems]

    Sources cited in this answer10

Also asked as

  • Which foot traffic analytics tools can show me heat maps of aisle activity to see where people are walking the most?