Trusted In-store Analytics for Grocery Stores
Understand your shoppers’ behaviour & optimize your physical points of sales.
Proven by Smart Grocery Stores
Why Customer Behaviour Matters?
90% of Customer Behaviour is not visible through buying data. Until now.
Pygmalios Analytics will show you
the complex end-to-end journey for every stage
of your customer’s behaviour in a grocery store.
Buying data will tell you only
the end of the story. We will show
you the story before.
> 90%
of customer physical journey is not measured by buying data
How It Works
At first, we install sensors in shopping baskets and trolleys or deploy 3D video sensors. We then collect data from the multiple types of sensors and give you a real-time overview of what’s happening in your store. Every report can be easily accessed via our user-friendly application.
How Pygmalios Analytics Helps Stores
Here are a few examples of what we do:
We Identify the Best Locations for Shortcuts
Business Case 6
Based on our data, we can tell you where the best place to put a shortcut in your store is. In this case, you can see that the current shortcut is not used by shoppers; therefore, we recommended connecting it to at least one aisle with high potential.
We Explain Why Some Products Underperform
Business Case 47
Thanks to our data, we can see the number of visits and the average amount of time that shoppers spend in various parts of the store. We measure whether products underperform because of low product zone attractivity, product design or the product itself. This information helps shop managers negotiate better with suppliers and providers about the marketing of goods.
We Highlight Attractivity of New Products
Business Case 58
Measuring the process of introducing a new product can bring some interesting facts to light. Did you know that the overall performance of a product zone can be higher and dwell time can grow by 50% after a new product is introduced?
We Measure Impact of New Store Layout
Business Case 63
By comparing data from an old and a redesigned store layout, we let retail stores know what impact such a change had on the number of shoppers and productivity of respective zones.
We Determine the Best Opening Hours
Business Case 65
With the help of sensors, we have detailed information about the flow of people around the store and can suggest more convenient opening hours. Because sometimes, even after the store has closed, the number of people around is still considerable, and it would be a pity to lose additional business opportunities by closing down too early.
We Improve Store Dynamics
Business Case 68
While shoppers rush through some zones, they walk slowly in others. Such unbalanced dynamics leads to people ignoring certain segments of the store. Slowing down the path towards cashiers can lead to additional sales opportunities and bigger average transaction value. As you see in this image, it is better to put one of the hot zones between the cold ones.
What Smart Retailers Say
"Long-term observations through Pygmalios Analytics can provide us with a comprehensive picture of the best-selling product groups, and we can also visually detect changes in buying behavior based on external incentives.”
"The presentation fulfilled the promised agenda as well as our expectations. Specific examples of how to use analytics were definitely inspiring for me.”
Why Grocery Stores Trust Pygmalios
Business Value First
We believe that innovation without business value is useless. We always start with business problems and a “Why.” Then we can help you understand which technology is right for your business.
100+
Business INSIGHTS
proven by clients
proven by clients
Proven Technology
We use mature technology that is trusted and used by the biggest retailers as well as small stores all across Europe.
400+
stores deployed
Expert Team
Our expert team has been working in the FMCG and grocery industry for the past 20 years and thus provides valuable insights on your business.
20+
years of experience
in grocery retail
in grocery retail
Pygmalios Analytics Application
Our cloud-based application provides you with a clean reporting user interface. Across several dashboards, it allows you also to:
- See store reports
- Compare historical data
- Benchmark stores
- Access data via API
Pygmalios Consulting
With 20+ years of experience in the FMCG sector, our consultants help major grocery stores understand customers’ physical journey throughout the store and thus find hidden opportunities, optimize layouts and increase revenue. Here is what we can do for you:
- Custom reports
- Training
- Know-how meetings
- Business data checks
- Ad hoc consultancy
- Subscription Services
“In the last 20 years as a consultant in the FMCG stores management, I realized that transactional data are no longer sufficient.”
Tibor Tabery, Senior Consultant for FMCG Retail
Pygmalios Sensors
Pygmalios Sensors
We use state-of-the-art movement tracking technologies which include sensor-fusion positioning or advanced video sensing.
- Accurate sensors in baskets and 3D video sensors
- European Certified Integrators
- Data quality check and validation process
- GDPR Ready and secure
- First class support
Pygmalios Solutions for Grocery Retail
Pygmalios Analytics App & Powerfull API
Application with user-friendly interface and real-time insights will help you to manage and test your stores on daily basis. Easy exports and powerful API.
- Stores benchmarking overview
- Historical data comparisons
- Customers physical data, buying data & weather
- Trajectories, zones visits, dwell time, heat-maps
- Access via desktop or mobile web browser
- Access via powerful RESTful API
Pygmalios Analytics App & Powerfull API
Application with user-friendly interface and real-time insights will help you to manage and test your stores on daily basis. Easy exports and powerful API.
- Stores benchmarking overview
- Historical data comparisons
- Customers physical data, buying data & weather
- Trajectories, zones visits, dwell time, heat-maps
- Access via desktop or mobile web browser
- Access via powerful RESTful API
We Guarantee
Accuracy
- <10cm accuracy with 3D sensors
- <1,5m accuracy with trolleys sensors
- >95% accuracy for counting
- >90% accuracy for gender recognition
*maximum reached accuracy depends on various environmental conditions
Privacy
- GDPR compliant
- No personal data collected
- Irreversible hashing of MAC addresses (per account) at point of entry
- Meta-data only, no video streams
Security
- 256-bit end-to-end encryption
- Cisco/IPSec VPN
- Auditable data requests
- Separate user accounts
