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TRU for Supermarkets
From aisles to algorithms, the future of supermarkets.
The TRU Recognition Platform can provide significant business value to supermarkets by improving loss prevention, reducing slips & falls, and enhancing the overall customer experience.
Heat Map Recognition
Heat Map Recognition
Heat Map Recognition automatically analyses and interprets heat maps, which are visual representations of data where values are depicted using colours, gradients, or intensity variations. It can provide valuable insights for user behaviour analysis, retail optimisation, crowd management, facility planning, and infrastructure development.
Heat Map Recognition
Heat Map Recognition
Heat Map Recognition automatically analyses and interprets heat maps, which are visual representations of data where values are depicted using colours, gradients, or intensity variations. It can provide valuable insights for user behaviour analysis, retail optimisation, crowd management, facility planning, and infrastructure development.
Heat Map Recognition
Heat Map Recognition
Heat Map Recognition automatically analyses and interprets heat maps, which are visual representations of data where values are depicted using colours, gradients, or intensity variations. It can provide valuable insights for user behaviour analysis, retail optimisation, crowd management, facility planning, and infrastructure development.
Heat Map Recognition
Heat Map Recognition
Heat Map Recognition automatically analyses and interprets heat maps, which are visual representations of data where values are depicted using colours, gradients, or intensity variations. It can provide valuable insights for user behaviour analysis, retail optimisation, crowd management, facility planning, and infrastructure development.
TRU CX+
TRU CX+
TRU CX+ utilises various inputs, such as Queue Length and Dwell Time Recognition. TRU Recognition provides CX+ which can enable the experience of a customer to be measured empirically without the use of traditional surveys etc. This results in the experience of all customers being measured, with friction points being highlighted in real-time.
TRU CX+
TRU CX+
TRU CX+ utilises various inputs, such as Queue Length and Dwell Time Recognition. TRU Recognition provides CX+ which can enable the experience of a customer to be measured empirically without the use of traditional surveys etc. This results in the experience of all customers being measured, with friction points being highlighted in real-time.
TRU CX+
TRU CX+
TRU CX+ utilises various inputs, such as Queue Length and Dwell Time Recognition. TRU Recognition provides CX+ which can enable the experience of a customer to be measured empirically without the use of traditional surveys etc. This results in the experience of all customers being measured, with friction points being highlighted in real-time.
TRU CX+
TRU CX+
TRU CX+ utilises various inputs, such as Queue Length and Dwell Time Recognition. TRU Recognition provides CX+ which can enable the experience of a customer to be measured empirically without the use of traditional surveys etc. This results in the experience of all customers being measured, with friction points being highlighted in real-time.
Path Map Recognition
Path Map Recognition
Path Map Recognition automatically detects and recognises paths or routes taken. It has the potential to improve marketing strategies and campaign effectiveness measurement in store.
Path Map Recognition
Path Map Recognition
Path Map Recognition automatically detects and recognises paths or routes taken. It has the potential to improve marketing strategies and campaign effectiveness measurement in store.
Path Map Recognition
Path Map Recognition
Path Map Recognition automatically detects and recognises paths or routes taken. It has the potential to improve marketing strategies and campaign effectiveness measurement in store.
Path Map Recognition
Path Map Recognition
Path Map Recognition automatically detects and recognises paths or routes taken. It has the potential to improve marketing strategies and campaign effectiveness measurement in store.
Aggression Recognition
Aggression Recognition
Aggression Recognition automatically detects and identifies aggressive behaviour or signs of aggression in individuals. This technology utilises various methods, such as video analysis, facial expression recognition, and behavioural cues, to analyse and interpret aggressive behaviour.
Aggression Recognition
Aggression Recognition
Aggression Recognition automatically detects and identifies aggressive behaviour or signs of aggression in individuals. This technology utilises various methods, such as video analysis, facial expression recognition, and behavioural cues, to analyse and interpret aggressive behaviour.
Aggression Recognition
Aggression Recognition
Aggression Recognition automatically detects and identifies aggressive behaviour or signs of aggression in individuals. This technology utilises various methods, such as video analysis, facial expression recognition, and behavioural cues, to analyse and interpret aggressive behaviour.
Aggression Recognition
Aggression Recognition
Aggression Recognition automatically detects and identifies aggressive behaviour or signs of aggression in individuals. This technology utilises various methods, such as video analysis, facial expression recognition, and behavioural cues, to analyse and interpret aggressive behaviour.
Shoplifting Recognition
Shoplifting Recognition
Shoplifting Recognition automatically detects and identifies instances of shoplifting or theft in retail environments. This technology utilises various methods, such as video analysis, object tracking, and behaviour detection algorithms, to monitor and analyse activities within a store and identify suspicious behaviours associated with shoplifting. It has the potential to improve loss prevention, enhance overall security and provide valuable evidence for law enforcement purposes.
Shoplifting Recognition
Shoplifting Recognition
Shoplifting Recognition automatically detects and identifies instances of shoplifting or theft in retail environments. This technology utilises various methods, such as video analysis, object tracking, and behaviour detection algorithms, to monitor and analyse activities within a store and identify suspicious behaviours associated with shoplifting. It has the potential to improve loss prevention, enhance overall security and provide valuable evidence for law enforcement purposes.
Shoplifting Recognition
Shoplifting Recognition
Shoplifting Recognition automatically detects and identifies instances of shoplifting or theft in retail environments. This technology utilises various methods, such as video analysis, object tracking, and behaviour detection algorithms, to monitor and analyse activities within a store and identify suspicious behaviours associated with shoplifting. It has the potential to improve loss prevention, enhance overall security and provide valuable evidence for law enforcement purposes.
Shoplifting Recognition
Shoplifting Recognition
Shoplifting Recognition automatically detects and identifies instances of shoplifting or theft in retail environments. This technology utilises various methods, such as video analysis, object tracking, and behaviour detection algorithms, to monitor and analyse activities within a store and identify suspicious behaviours associated with shoplifting. It has the potential to improve loss prevention, enhance overall security and provide valuable evidence for law enforcement purposes.
Slip & Fall Recognition
Slip & Fall Recognition
Slip and Fall Recognition automatically detects and identifies instances where a person slips, trips, or falls. It has the potential to improve safety measures, prevent accidents, and provide timely assistance in case of a slip or fall incident.
Slip & Fall Recognition
Slip & Fall Recognition
Slip and Fall Recognition automatically detects and identifies instances where a person slips, trips, or falls. It has the potential to improve safety measures, prevent accidents, and provide timely assistance in case of a slip or fall incident.
Slip & Fall Recognition
Slip & Fall Recognition
Slip and Fall Recognition automatically detects and identifies instances where a person slips, trips, or falls. It has the potential to improve safety measures, prevent accidents, and provide timely assistance in case of a slip or fall incident.
Slip & Fall Recognition
Slip & Fall Recognition
Slip and Fall Recognition automatically detects and identifies instances where a person slips, trips, or falls. It has the potential to improve safety measures, prevent accidents, and provide timely assistance in case of a slip or fall incident.
Demographics Recognition
Demographics Recognition
Demographics Recognition refers to the process of automatically identifying and categorising individuals based on various demographic attributes, such as age, gender, ethnicity, and facial features. It is crucial to handle demographic information with caution and avoid perpetuating biases or stereotypes. Bias mitigation techniques and diverse training datasets can help minimise the risk of inaccurate or unfair categorisation based on demographic attributes. No personal information is identifiable.
Demographics Recognition
Demographics Recognition
Demographics Recognition refers to the process of automatically identifying and categorising individuals based on various demographic attributes, such as age, gender, ethnicity, and facial features. It is crucial to handle demographic information with caution and avoid perpetuating biases or stereotypes. Bias mitigation techniques and diverse training datasets can help minimise the risk of inaccurate or unfair categorisation based on demographic attributes. No personal information is identifiable.
Demographics Recognition
Demographics Recognition
Demographics Recognition refers to the process of automatically identifying and categorising individuals based on various demographic attributes, such as age, gender, ethnicity, and facial features. It is crucial to handle demographic information with caution and avoid perpetuating biases or stereotypes. Bias mitigation techniques and diverse training datasets can help minimise the risk of inaccurate or unfair categorisation based on demographic attributes. No personal information is identifiable.
Demographics Recognition
Demographics Recognition
Demographics Recognition refers to the process of automatically identifying and categorising individuals based on various demographic attributes, such as age, gender, ethnicity, and facial features. It is crucial to handle demographic information with caution and avoid perpetuating biases or stereotypes. Bias mitigation techniques and diverse training datasets can help minimise the risk of inaccurate or unfair categorisation based on demographic attributes. No personal information is identifiable.
Out of Stock Recognition
Out of Stock Recognition
Out-of-Stock Recognition automatically detects and identifies instances where a product is unavailable or out of stock in a retail or inventory setting. It has the potential to enhance retail inventory management, supply chain optimisation, customer satisfaction along with loyalty and data-driven decision-making.
Out of Stock Recognition
Out of Stock Recognition
Out-of-Stock Recognition automatically detects and identifies instances where a product is unavailable or out of stock in a retail or inventory setting. It has the potential to enhance retail inventory management, supply chain optimisation, customer satisfaction along with loyalty and data-driven decision-making.
Out of Stock Recognition
Out of Stock Recognition
Out-of-Stock Recognition automatically detects and identifies instances where a product is unavailable or out of stock in a retail or inventory setting. It has the potential to enhance retail inventory management, supply chain optimisation, customer satisfaction along with loyalty and data-driven decision-making.
Out of Stock Recognition
Out of Stock Recognition
Out-of-Stock Recognition automatically detects and identifies instances where a product is unavailable or out of stock in a retail or inventory setting. It has the potential to enhance retail inventory management, supply chain optimisation, customer satisfaction along with loyalty and data-driven decision-making.
Queue Length Recognition
Queue Length Recognition
Queue Length Recognition automatically detects and measures the length of queues or lines in various settings. It has the potential to improve customer service, resource allocation, wait time management, crowd control, and performance evaluation.
Queue Length Recognition
Queue Length Recognition
Queue Length Recognition automatically detects and measures the length of queues or lines in various settings. It has the potential to improve customer service, resource allocation, wait time management, crowd control, and performance evaluation.
Queue Length Recognition
Queue Length Recognition
Queue Length Recognition automatically detects and measures the length of queues or lines in various settings. It has the potential to improve customer service, resource allocation, wait time management, crowd control, and performance evaluation.
Queue Length Recognition
Queue Length Recognition
Queue Length Recognition automatically detects and measures the length of queues or lines in various settings. It has the potential to improve customer service, resource allocation, wait time management, crowd control, and performance evaluation.
People Counting Recognition
People Counting Recognition
People Counting Recognition automatically detects and counts the number of people present in a given area. It has the potential to provide valuable insights for businesses and organisations in terms of customer behaviour, crowd management, resource planning, and operational efficiency.
People Counting Recognition
People Counting Recognition
People Counting Recognition automatically detects and counts the number of people present in a given area. It has the potential to provide valuable insights for businesses and organisations in terms of customer behaviour, crowd management, resource planning, and operational efficiency.
People Counting Recognition
People Counting Recognition
People Counting Recognition automatically detects and counts the number of people present in a given area. It has the potential to provide valuable insights for businesses and organisations in terms of customer behaviour, crowd management, resource planning, and operational efficiency.
People Counting Recognition
People Counting Recognition
People Counting Recognition automatically detects and counts the number of people present in a given area. It has the potential to provide valuable insights for businesses and organisations in terms of customer behaviour, crowd management, resource planning, and operational efficiency.
Product Interaction Recognition
Product Interaction Recognition
Product Interaction Recognition automatically detects and recognises how users interact with products or physical objects. It has the potential to improve user experience, quality control, pricing, and theft detection.
Product Interaction Recognition
Product Interaction Recognition
Product Interaction Recognition automatically detects and recognises how users interact with products or physical objects. It has the potential to improve user experience, quality control, pricing, and theft detection.
Product Interaction Recognition
Product Interaction Recognition
Product Interaction Recognition automatically detects and recognises how users interact with products or physical objects. It has the potential to improve user experience, quality control, pricing, and theft detection.
Product Interaction Recognition
Product Interaction Recognition
Product Interaction Recognition automatically detects and recognises how users interact with products or physical objects. It has the potential to improve user experience, quality control, pricing, and theft detection.
Click on the dots to learn more about each recognition technology.
Enhanced Security Business Value
Enhanced Insights
Enhanced Safety
Adding value to your sector
The following examples demonstrate how the TRU Recognition Platform can be used to generate business value in supermarkets.
Loss prevention
Loss prevention
The TRU Recognition Platform can be used to detect and prevent theft in the supermarket. By using computer vision technology, cameras can identify suspicious behaviour such as people hiding items in their bags or pockets. This can alert staff to take corrective action and prevent loss. Additionally, The TRU Recognition Platform can monitor stock levels and alert staff when items are running low, reducing the risk of out-of-stock situations that can lead to lost sales.
Slip prevention
Slip prevention
The TRU Recognition Platform can be used to detect slip hazards in the supermarket, such as spills or debris on the floor. By using computer vision technology, cameras can identify potential hazards and alert staff to take corrective action before an accident occurs. This can help reduce the risk of slips and falls, which can result in costly liability claims and damage to the supermarket's reputation.
Automated checkout
Automated checkout
The TRU Recognition Platform can be used to automate the checkout process, allowing customers to scan and pay for their items using self-service kiosks. By using computer vision technology, supermarkets can provide a more efficient checkout experience, reducing wait times and improving customer satisfaction. This can also free up staff to focus on other tasks, such as stocking shelves and monitoring the store for slip and fall hazards.
Quality control
Quality control
The TRU Recognition Platform can be used to monitor food quality in the supermarket, ensuring that perishable items are fresh and safe to eat. Cameras can detect issues such as expired or damaged food, enabling staff to take corrective action quickly and prevent waste. This can help reduce costs associated with unsellable items and improve customer satisfaction.
Marketing and advertising
Marketing and advertising
The TRU Recognition Platform can be used to analyse customer behaviour and preferences, allowing supermarkets to deliver targeted marketing and advertising messages. This can increase customer loyalty and drive repeat business, while also reducing the risk of slip and fall accidents thereby providing a more positive and engaging customer experience.
Other benefits include:
Choose TRU Recognition for your AI capabilities
The TRU Recognition Platform delivers strong business value to supermarkets by improving loss prevention, reducing slip and falls, enhancing the customer experience, and increasing revenue. By leveraging the power of Recognition Technologies/Vision AI, supermarkets can become more competitive, profitable, and successful in today's fast-paced and safety-conscious world.
Book a demo today!
See for yourself how TRU Recognition can transform your operation or contact us for further information.
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Acknowledgment of Country
We acknowledge the traditional owners of the land we know as Australia. We recognise the long and continuing relationship that our first nations people have with the land on which we meet, work and learn. We pay our respects to elders, past, present and emerging.