The digital tool of Retail AI with the latest generation people counting system.
External pedestrian traffic
Overall average
2.2
Pax
-9.9%
Decline
Conversion rate
Overall average
4.2
Pax
+7.9%
Increment
Medium time
26m
Pax
+4.0%
Increment
TC Analytics is a technological solution for retail professionals that allows you to visualize in real time the consumer behavior data collected by our people counting systems.
TC Analytics includes the installation and maintenance of human sensors with AI to measure pedestrian traffic, both outside and inside stores.
TC Analytics has the most advanced technology on the market with AI-powered 3D sensors that guarantee 99.5% reliability in counting people at more than 8,000 points of sale.
All our systems are compliant with the EU Data Act legislation, effective from September 2025.
TC Analytics is a multi-device platform (mobiles, tablets and computer) for consulting and estimating KPIs in real time.
Users
Tiered access
Configurable KPIs
Personalised reports
Rankings and projections
Alarms for variances
Next-generation sensors with 99.5% accuracy.
TC Group Solutins has the most advanced technology on the market: VS125, VS135, VS133, VS 350, VS34x and VECTOR 4D sensors.
The data is collected via an independent network (ethernet) and sent directly to our database, where it is processed, analyzed and placed into the TC Analytics platform.
All our systems are compliant with the EU Data Act legislation, effective from September 2025.
Further technical information
VS125
VS125 combines binocular stereo 3D vision and analytics with AI engines to ensure a highly reliable person count that allows you to understand consumer behaviors even for large retail spaces by interconnecting up to 16 sensors.
Provides instant data on presence and movement, improving space and resource management.
Differentiates inputs and outputs, allowing you to know flows, patterns and dynamic stops, as well as advanced metrics to optimize cleaning, air conditioning, safety and use of spaces.
This sensor is GDPR certified to ensure maximum data security and privacy.
VS135
VS 135 is a high-end person count sensor that relies on deep learning artificial intelligence and second generation ToF technology. It is able to adapt to various complex scenarios, while ensuring full privacy protection.
This sensor has an accuracy of up to 99.8% in counting people, guarantees total privacy protection, fully satisfying your needs, and offers exceptional performance in both indoor and outdoor applications.
VS350
The VS350 is a people counting sensor designed for indoor corridors that detects and analyzes the flow of people, allowing optimal management and use of space. Equipped with dual PIR sensors, it offers a high accuracy rate for two-way people counting. Can be combined with an additional temperature sensor.
• Flexible two-way people counting
• Cost-effective accurate performance and easy installation
• 100% anonymous detection and large detection area
• 4-year battery life with high frequency of reports
• Low power LoRaWAN® wireless deployment
SVS340/341
VS340/341 is a desk and seat occupancy sensor. This occupancy sensor is designed to detect whether the desks or seats in a workspace are occupied. This allows for better management and optimization of space use.
The professional version VS341 provides more precise and accurate detection capabilities than the standard one. VS341/340 features an adjustable field of view angle for greater flexibility in different scenarios. With wireless detection and easy setup.
4DVECTOR
Thanks to it’s ToF (Time of Flight) technology, you will be able to collect data on inputs and outputs with maximum accuracy and reliability of 99.5%. Allows differentiation between heights (adults and children)
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Technical
characteristics
Flow detection
People counting system (inputs and outputs).
Differentiation between customers and staff
Identification of the store staff by reflector lanyards.
Height differentiation
The sensor can distinguish between children and adults.
Anonymization of data
We comply with current legislation to protect the privacy of your customers.
Store insights
We measure the time people spend in a defined area.
Resistant to glare
Not affected by changes in lighting, glare, darkness or reflections on surfaces.
Network connection
Allows you to connect several sensors to increase the coverage range of the space.
If you are interested in TC Analitycs please fill in the form below and we will contact you for a tailor-made solution
FAQs
What is the best way to measure customer traffic in your stores?
The most accurate and effective way to measure customer traffic is through AI-powered 3D people counting sensors integrated with an advanced retail analytics platform such as TC Analytics.
Unlike manual counting methods or outdated technologies, modern people counting systems deliver highly reliable real-time data while minimising errors caused by groups of visitors, varying customer heights, changing lighting conditions, or duplicate counts.
Accurate measurement of pedestrian traffic and store entries forms the foundation of effective retail performance analysis. Reliable footfall data enables retailers to optimise conversion rates, evaluate marketing effectiveness, improve staffing efficiency, and maximise sales opportunities.
What is a conversion rate?
The conversion rate is one of the most important retail KPIs. It represents the percentage of visitors who make a purchase compared to the total number of people entering a store.
This metric measures a store's ability to transform foot traffic into actual sales and provides a clear indication of commercial performance. The conversion rate is calculated by dividing the number of transactions or receipts by the total number of store visitors.
By combining accurate people counting data with point-of-sale (POS) information, retailers can obtain a reliable conversion rate and better understand the effectiveness of their sales strategies, customer experience, and in-store operations.
Why is it important to measure store conversion rate?
Measuring conversion rate allows retailers to evaluate how effectively their stores transform visitors into paying customers. It provides valuable insight into both customer purchasing behaviour and overall store performance.
To calculate an accurate conversion rate, businesses need highly reliable people counting systems capable of measuring store entries and integrating that information with sales transaction data.
A strong conversion rate may indicate attractive products, effective visual merchandising, competitive pricing, and excellent customer service. Conversely, a low conversion rate can reveal opportunities for improvement in staffing, store layout, product assortment, or customer experience.
As one of the most critical retail performance KPIs, conversion rate analysis helps retailers make data-driven decisions that increase sales, improve operational efficiency, and maximise profitability.
What types of people counting systems are available on the market?
Not all people counting technologies offer the same level of accuracy, reliability, or analytical capabilities. The most common technologies currently available for measuring footfall and customer traffic include:
• WiFi-based counting systems
• Infrared sensors
• Thermal sensors
• 3D AI-powered people counting sensors
Each technology has its own advantages and limitations depending on the environment, traffic volume, and level of accuracy required.
Businesses seeking actionable retail intelligence should prioritise solutions capable of delivering highly accurate data under real-world conditions, including crowded environments, varying lighting conditions, and complex visitor flows.
Which people pounting technology is the most accurate and efficient?
Today, the most accurate and efficient people counting solutions combine several advanced technologies:
• 3D vision sensors
• Artificial Intelligence (AI)
• Machine Learning algorithms
• Real-time analytics and reporting
These next-generation systems provide superior accuracy compared to traditional counting methods by distinguishing between individuals, filtering irrelevant movements, and adapting to changing environmental conditions.
For maximum business value, sensor technology should be integrated with a comprehensive analytics platform that transforms traffic data into actionable insights. This combination enables retailers to identify opportunities for growth, optimise operations, and continuously improve store performance.
