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    1. Home
    2. Insights
    3. Heat Maps in Retail: Understanding Zones of Interest
    A smartphone displays a heat map of a retail store, showcasing customer movement and activity patterns.
    Use cases, Retail

    Heat Maps in Retail: Understanding Zones of Interest

    Accurate data on store traffic hotspots and low-traffic areas helps retailers make precise decisions on layout and product placement
    Download Use Case

    Challenge

    Better understanding the relationship between product placement and sales is a goal of retailers looking to improve conversion rates and space utilization. “Gut feeling” and designating staff to do manual counts with hand-clickers, methods that have guided placement decisions for decades, are woefully outdated. Modern retailers want accessible data on:

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      Footfall trends in different parts of physical locations

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      Product performance data based on positioning changes

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      Responses to product placement based on demographic splits  

    • A bicycle store from the outside with a big logo and illuminated windows.

      Accurate Footfall Counting at a Bike Retailer

      Germany's Bike & Outdoor Company (BOC) used a Xovis sensor system for precise footfall counting, enhancing customer analysis and in-store service across locations.
      Read more

    Solution

    Actionable insights into store layout and the customer journey based on the popularity of in-store areas at different times accessed as an image including historical traffic flow maps help retailers to:

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      Identify areas with the highest and lowest in-store marketing potential  

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      Planning store layout in response to traffic trends

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      Testing the impact of product positioning, staff adjustment and store concepts 

    Headshot with a professional setting, highlighting a cheerful smile.

    Xovis' 3D sensors offer brick-and-mortar stores a competitive edge by hastening the trial-and-error process for improved decisions and higher revenue.

    Olivier Delangre Co-founder & Chief Executive Officer, Amoobi

    Benefits

    The real-time and historical data visualized as a traffic flow map help with:

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      Increasing conversion rates: right products, right place, right time 

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      Lowering operating costs: better positioning sales and support resources  

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      Maximizing infrastructure: adjusting staff planning and scheduling at a granular level

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    Access a free Use Case PDF version now!

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    Additional retail use cases

    A dynamic retail complex features supermarkets, clothing stores, and transport hubs with bustling activity.
    • Frictionless Checkout

      Automation helps balance customer flow and prevent loss at self-service zones

    • Measure Customer Engagement

      Measuring customers’ in-store dwell times can boost sales of higher margin products

    • Improving Store Layout

      Accurate store traffic data helps retailers optimize layout and product placement

    • View Direction

      Retailers can boost revenue by measuring in-store attention

    • Customer Counting

      Optimal staff and layout depend on real-time customer engagement data

    • Optimizing Product Positioning / Assortment

      Retailers looking to support their category manager are turning to tech

    • Real-Time Waiting Analytics

      Retailers need a robust queue management system to eliminate friction points

    • Preventing Queue Formation

      Queuing up can become a costly friction point for brick-and-mortar retailers

    • Expanding Sales with Demographic Data

      Understanding gender-specific shopping trends helps retailers optimize resources.

    • Customer Centric Staff Allocation

      Retailers need a robust queue management system to eliminate friction points

    • Staff Exclusion and Sales Performance

      Real-time KPIs help retailers optimize performance across all locations

    • Use-Based Cleaning

      Smart Retail requires Smart Cleaning to enhance customer experience

    • Group Shopping Analytics

      Shopping habits change with company, aiding retailers in boosting sales

    • Window Shopping Analytics

      Tracking capture rates from window shoppers can boost store performance

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