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    1. Home
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    3. Optimizing Staff and Layout with Customer Counting
    Customers browsing in a boutique-like store, illustrating retail engagement and foot traffic.
    Use cases, Retail

    Optimizing Staff and Layout with Customer Counting

    Optimal staff allocation and layout depend on real-time customer engagement and product positioning data
    Download Use Case

    Challenge

    Determining when staff should be customer-facing or engaged in other tasks is essential for cost-conscious retailers, more of which are looking for solutions that provide real-time and historical KPIs about the:

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      Determining building occupancy rates in real-time

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      Busiest and quietest times for traffic, passersby, and sales

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      Conversion rates vs. potential in-store customers

    • The storefront of a luxury furniture retailer showcases decor with blurred passersby.

      Luxury Furniture and Retail People Counting Accuracy

      When Italy's Natuzzi, a global leader in premium furniture, needed an accurate people counting system, they turned to Xovis and partner Visionarea.
      Read more

    Solution

    Digitizing brick-and-mortar stores to generate KPIs about traffic levels, demographics, queueing structures and dwell time takes the costly guesswork out of best utilizing limited staff and space resources. Market solutions can help retailers:

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      Indicate available meeting rooms and workspaces to increase efficiency

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      Identify customers, gender, and group status

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      Count customer entry/exit with 99% accuracy, excluding "peekers"

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      Modify store and window displays based on passersby conversion data

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      Adjust staff to optimize peak-and-valley shopping trends

    A man with glasses and a beard wears a dark coat, standing outdoors with a neutral expression.

    The system offers flexibility and incorporates mixed technologies tailored to the appropriate solution, delivering accurate and reliable counts that can be utilized for further analyses.

    Henning Schorling Head of IT, B.O.C. GmbH & Co. KG

    Benefits

    Understanding store activity based on measured KPIs is a tried and tested people counting solution that:

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      Better understanding of passenger demographics 

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      Reduces guesswork in timing customer traffic changes

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      Boosts efficiency by adjusting hours and staff to store trends

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      Improve store layout based on success rate

    Download now

    Access a free Use Case PDF version now!

    Download


    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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