Multiple Stores, One Vision: Performance Benchmarking

Challenge

Retailers need a chain-wide perspective to identify and respond to trends quickly. Revenue and customer satisfaction goals can be reached more efficiently by:

Accessing real-time KPIs from multiple channels
Streamlining data capture and analysis
Adjusting sales and staff resources based on chain-wide performance

In-Store Analytics Retail: O2 Mobile Shops

Xovis sensors helped O2 analyze customer and staff behavior in over 200 stores using 3D sensors to improve service, customer journey and workforce optimization.

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Solution

Precise entry and exit counts that exclude undecided passersby—those just peek-ing in—combined with customer demographics, dwell times, queuing statistics, and heat maps provide a real-time assessment of store performance retailers can measure against other locations. A richer and more dynamic perspective of performance at multiple locations can be obtained with reliable KPIs that:

Deliver accurate data on footfall and customer behavior
Exclude staff and non-committed guests from counts
Differentiate between customers shopping as part of a group
Improve conversion rates and expand basket sizes

Bald man with a beard in a t-shirt, smiling warmly at the camera in a black and white portrait.

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, O2 Slovakia

Benefits

Performance benchmarking is crucial for making timely adjustments to marketing, staffing or operating hours that may keep specific business segments, employees or products from reaching their true potential. Sensor-based solutions can help by

Carrying out cross-channel comparisons of visitor flow at different times
Digitizing offline sales channels
Comparing visitor numbers and conversion rates across channels
Implementing new initiatives and measuring their success over time

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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

Multiple Stores, One Vision: Performance Benchmarking

In-Store Analytics Retail: O2 Mobile Shops

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