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    1. Home
    2. Insights
    3. Staff Management Solutions
    Woman tries on high-heels with the help of an employee in a boutique, both smiling.
    Use cases, Retail

    Staff Management Solutions

    Retailers need a robust queue management system to eliminate friction points
    Download Use Case

    Challenge

    Improving conversion rates and expanding basket sizes depends mainly on ensuring customers get the attention they need. But determining the optimal visitor-to-staff ratio requires accurate data about the optimal length of customer interaction.   

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      Interaction times with guests across different categories  

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      The in-store density profile at a given time 

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      If store layout supports or hinders optimal staff allocation 

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      The dynamics between customer and staff demographics 

    • 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

    Staff management solutions must be able to track customers accurately along their shopping journeys. Store managers need real-time and historical KPIs to adjust staff allocation based on spontaneous opportunities and established trends.      

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      Accurately distinguish between guests and non-guests, such as employees  

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      Deliver accurate data on interaction times at precise points of the customer journey  

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      Evaluate the impact of gender dynamics on conversion rates 

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      Plan staff scheduling based on historical in-store density trends 

    Portrait in a professional setting, featuring a confident smile.

    sensalytics relies on sensors from Xovis for a wide range of retail use cases. The company has the know-how and commitment to help us meet the demands of our customers.

    Omar Tello CEO, sensalytics

    Benefits

    Retailers using a robust data capture system can get accurate measurements of staff interactions at the most important in-store touchpoints. Such solutions help to:    

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      Increase customer satisfaction through higher service levels    

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      Manage staffing costs and optimize employee allocation 

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      Run A/B testing on employee allocations based on customer demographics  

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      Improve sales by matching service levels to changing customer demands  

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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

    Related Resources

    Access more Xovis success stories

    • Window shopping analytics infographic illustrating improved capture rates with shopper paths and data.
      Blog, Retail

      Improving Capture Rates with Window Shopping Analytics

      Summertime shopping is a tradition and necessity
      Read more
    • A cheerful couple selects apples together, standing by a shopping cart in a bustling supermarket.
      Use cases, Retail

      Know Your Customer: Gender Statistics in Retail

      Understanding gender-specific shopping trends helps retailers optimize resources
      Read more
    • A joyful family strolls through a lively mall, carrying shopping bags and enjoying their outing.
      Use cases, Retail

      Group Shopping: The More, The Merrier

      Shopping habits change with company, and retailers leverage this to boost conversion rates and revenue
      Read more
    View all case studies
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