• Solutions
    • Airport
    • Retail
    • Transportation
    • Building Management
    • Museum
    • Live Event
    • Library
  • Technology
    • Sensors
    • Airport software
  • Insights
  • Partnering
    • Xovis HUB - partner platform
    • Become a partner
  • About
    • Company
    • Blog
    • Careers
    • Events
    • Press/Media
  • Support
    • Airport
    • Retail
    • Transportation
    • Others
  • Contact us
    Menu
    Contact us
    1. Home
    2. Insights
    3. Measuring Service Interaction Times in Physical Retail
    Store employee assisting customer at checkout counter in modern retail shop
    Use cases, Retail

    Measuring Service Interaction Times in Physical Retail

    Brick-and-mortar retailers can now capture an objective KPI proven to improve customer service: Service Interaction Times. This new use case looks at how traditional retailers use these measurements to identify service gaps and set benchmarks that drive sales.
    Download Use Case

    Challenge

    In the retail environment, service levels drive conversions. This is why companies work hard to prevent service-level breakdowns from damaging sales and brand perception.

    Aware of these risks, organizations establish internally or externally defined ser­vice-level standards that employees are expected to meet. But how can retailers verify that these standards are being achieved? Methods for collecting this data vary, includ­ing surveys and online ratings, as does their reliability.

    Because service is inherently subjective, organizations tend to prefer KPIs based on objective data. As a result, many organizations are adopting visitor–staff interac­tion-time measurements to identify service gaps and determine optimal service-time ranges.

    To serve as an effective KPI that supports organizational goals, interaction-time mea­surements must be:

    • Icon

      Accurate and privacy-compliant

    • Icon

      Available in real time and historically

    • Icon

      Captured in a cost-efficient manner

    • Retail store featuring promotional displays and a modern, branded design.

      VodafoneZiggo Optimizes Staff Planning with Xovis Data

      For accurate visitor counts at more than 100 retail locations in the Netherlands, VodafoneZiggo used the PFM Intelligence platform and Xovis' 3D sensors.
      Read more

    Solution

    Accurate measurement of customer-staff interactions begins with identifying who qualifies as staff. Only advanced vision-based data capture technology can perform this task consistently and reliably.

    Earlier systems required employees to wear dedicated badges or tracking devices. Modern vision-based systems can now identify staff based on their location within a space, such as behind a service counter. Once staff members are identified, interaction times can be measured by tracking their proximity to customers or visitors. Measure­ments can be captured in several ways:

    • Icon

      Within predefined service zones, such as payment areas

    • Icon

      At locations typically occupied by personnel, such as security staff at entrances

    • Icon

      Across open environments where continuous staff tracking is possible

    Bald person in a navy blazer and white shirt, facing the camera against a bright, softly blurred office background.

    We have identified, that one of the key issues was to set the right and effective workforce planning not only towards the cost savings but also with respect to the overall customer experience.

    Milan Morávek Chief Sales & Customer Service Officer, 02

    Benefits

    In addition to measuring “time to service,” also known as wait times, measuring inter­action times between customers, passengers, or visitors and staff is a proven way to help:

    • Icon

      Optimize interactions: Establish benchmarks for service times that support higher customer ratings

    • Icon

      Improve staff performance: Identify service gaps that require attention

    • Icon

      Support service agreements: Monitor compliance with Service Level Agreements (SLAs) and highlight areas for improvement

    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

    Related Resources

    Access more Xovis success stories

    • Basket size in retail, analytics and shopping basket.
      Blog, Retail

      Expanding Basket Size with Retail Tech  

      What is average basket size and why does it matter?
      Read more
    • Big box retailer challenges: analytics dashboard for retail operations.
      Blog, Retail

      Analytics and the Big-Box Retailer: Challenges and Opportunities

      As temperatures rise, customers at Home Depot, Leroy Merlin, and Hornbach embrace outdoor spaces for gardening and exciting outdoor projects.
      Read more
    • Xovis shopper using interactive digital display inside retail store.
      Use cases, Retail

      Apparent Age Estimation and Dynamic Retail

      Brick-and-mortar retailers use live, privacy-compliant demographic data to tailor in-store experiences
      Read more
    View all case studies
    HQ Bern

    Xovis AG

    Industriestrasse 1
    3052 Zollikofen
    Switzerland
     

    +41 32 342 04 70
    Contact us

    Berlin

    Xovis Germany GmbH

    Ullsteinstraße 140
    12109 Berlin
    Germany
     

    +49 (0)30 41735545
    Contact us

    Boston

    Xovis USA Inc.

    14 Arrow Street, Suite 11
    Cambridge, MA 02138
    United States of America
     

    +1 (617) 648-7199
    Contact us

    Gurugram

    Xovis Technologies India Pvt. Ltd.

    Vatika Atrium, Golf Course Rd, Sector 53, 122011 Gurugram 
    India
     

    +91 124 4121600
    Contact us

    Follow us
    • Youtube
    • LinkedIn
    • Twitter
    • © 2026 Xovis AG
    • GTC
    • CVD
    • Imprint
    • Data Privacy
    • Quality & Compliance
    © 2026 Xovis AG