IMPROVE STOCK TURNOVER
REDUCE WASTE
FOOD SAVE, a revolutionary solution for distribution and sale of fast-moving goods, leverages artificial intelligence to processes and analyze video capture data to enable effective optimization of storage processes and ultimately reduce food waste.
AI HEAT MAPS STREAMLINE
SHOPPING BEHAVIOUR


AI SPECIALLY TRAINED
TO DETECT
FOOD SAVE
FOOD SAVE is a camera-based solution that collects and evaluates data on the quantity and movement of specific goods around the store in real time using artificial intelligence.
The system proactively notifies at specified time intervals of the need to replenish goods and suggests one-time discounting of overstocked items.
Accurate data models increase the likelihood of sales, improving stock turnover.
The data are then processed and analyzed to evaluate effectiveness and to forecast demand and supply models for individual stores and the entire chain on the regional, national, or global level.
KEY BENEFITS
Cost savings
Reducing waste of
rapidly expiring goods
By combining pre-prepared scenarios included in the product with historic data, FOOD SAVE can effectively identify the need for restocking, distribution, and production of fast-moving goods to reduce waste. All that automatically in real time.
Stock monitoring
and dynamic pricing
A CCTV video camera constantly monitors goods, feeding data to FOOD SAVE for AI-powered real-time analysis and pricing recommendations. The system will proactively notify of the need to reduce the price on overstocked goods.
FOOD SAVE delivered
as a service
FOOD SAVE represents a comprehensive ecosystem tailored to the customer and delivered as a service. There is no need to buy hardware and software licenses, dedicate internal IT resources or train employees. We deliver the solution as a comprehensive service with guaranteed maximum availability.
AI IN RETAIL - A CHANGE WITH A GREAT POTENTIAL
HOW FOOD SAVE WORKS
Item and
amount
detection


Item and
amount
detection


Stock status
monitoring
The camera captures a given space and monitors the available amount.
Based on specified limit values, the system will
automatically send a notification to replenish the stock.
The system can also recommend price
adjustments for overstocked items
or moving them to another outlet, where the stock
is low and the chance of selling higher.
Stock status
monitoring
The camera captures a given space and monitors the available amount.
Based on the threshold quantity setting, the system will automatically send a notification of the need for replenishment.
The system can even recommend a price change for an overstocked item. Within the sales network, it may also recommend a transfer to another suitable branch where the goods are low and there is a higher possibility of sale.
Decontamination
Based on sensing and learning, the system can identify a foreign object or foreign item in the monitored space and will send an alert for its removal — decontamination.
Decontamination
Based on sensing and learning, the system can identify a foreign object or foreign item in the monitored space and will send an alert for its removal — decontamination.
GDPR
compliance
We comply with applicable legislation and smear people’s faces in the CCTV data in compliance with the General Data Protection Regulation (GDPR).
GDPR
compliance
We comply with applicable legislation and smear people’s faces in the CCTV data in compliance with the General Data Protection Regulation (GDPR).
Effectiveness
assessment
and forecasting
The data gathered by the system can be used for effectiveness analysis and supply & demand forecasting models for individual stores or the entire chain.

Effectiveness
assessment
and forecasting
The data gathered by the system can be used for effectiveness analysis and supply & demand forecasting models for individual stores or the entire chain.

USE CASES - RETAIL
PRODUCT RECOGNITION
PRODUCT RECOGNITION
The scenario transfers the responsibility for correct product display in brick-and-mortar stores to artificial intelligence. By automatically analyzing sensor data in real time, AI can identify products at the SKU level and perform display checks.
Key benefits:
- Reduces the cost of product and brand monitoring and exposure
- Optimizes workflows and improves employee control on the shop floor
- Compares performance of products on display, monitors cart contents
- Tracks customer behavior and aggregates data
- Identifies customer behavior upon marketing campaign launch
OUT OF STOCK
OUT OF STOCK
The scenario analyzes real-time sensor data to automatically identify empty zones in shelves, records the time of the event, and notifies the responsible employee with a structured alert delivered to his or her digital device. The employee can promptly act on the alert and restock the respective shelves. Keeping the shelves full helps to improve the overall performance of the shop floor while minimizing lost sales.
Key benefits:
- Improves sales effectiveness and inventory turnover
- Improves shop-floor labor effectiveness and a provides greater control
- Increases purchase conversions
- Automatic notifications eliminate time-consuming regular checks
CUSTOMER HEAT MAPS
CUSTOMER HEAT MAPS
The scenario leverages Convolutional Neural Networks to identify customers and chart their movement. This provides an insight into customer behavior in the store and helps identify hot and cold zones. You can use the information to devise precise navigation for your customers and streamline their buying process.
How? The system triggers automatic detection subsystems to measure the time and speed of customer motion. It overlays individual paths to show the busiest areas with the highest attention as well as abandoned zones.
There is no need to install thermal cameras, as AI can be applied to a stream of real sensor data. You only choose the period, day, or specific hours that you wish to analyze.
Key benefits:
- Improves the effectiveness of product display and behavior-driven actions
- Helps understand customer behavior and customer journeys in stores
- Enables A/B testing of product display options in new establishments
- Identifies cold and hot spots in the store
- Helps adjust customer navigation around the store
- Provides insight to increase the number of conversion points

USE CASES - CX
CUSTOMER EXPERIENCE
OMNICHANNEL CUSTOMER SEGMENTATION
OMNICHANNEL CUSTOMER SEGMENTATION
Recognizes unique customers both in the e-shop and in brick-and-mortar stores as they select products and go through the shopping process.
Enables the creation, segmentation, and management of multi-channel customer data to identify cross-sell and up-sell opportunities.
Key benefits:
- Provides a comprehensive picture of the customers’ buying behavior
- Reduces marketing costs to reach customers
- Increases the number of purchase conversions (lowers CPA)
- Increases the average purchase value through cross-sell and up-sell mechanisms. Supports precise discount targeting, individual targeting, trend tracking.
HYPERPERSONALIZATION
HYPERPERSONALIZATION
Smart algorithms create hyper-personalized content tailored to each customer individually.
The right combination of offers and sales channels improves the relationship between the seller and customers.
The scenario also identifies basic behavioral patterns.
Key benefits:
- Helps bolster loyalty of the target group
- Enables you to increases shopping cart margins and eliminate unnecessary discount promotions
- Increases purchase conversions
- Increases customer life time value
AI UČENÍ - LOAJALITA A SENTIMENT
AI LEARNING - LOYALTY AND SENTIMENT
AI learning can help sort and define important topics that affect the perception of your company, allows you to collect feedback and evaluate its content and relevance at the store, product, and brand level. Sentiment and keyword analysis, e.g. in call recordings, text messages, or social media posts, allows for timely response to client attrition or loss of loyalty.
Key benefits:
- Helps bolster loyalty of the target group
- Mitigates the risk of negative publicity spreading in the digital world
- Verifies the accuracy of marketing campaign targeting
- Helps satisfy customer expectations
- Supports reporting
- Effectiveness
AI FRAUD BEHAVIOR DETECTION
AI FRAUD BEHAVIOR DETECTION
Key benefits:
- Helps reduce theft
- Improves efficiency of in-store behavioral control at a lower cost
- Delivers real-time alerts directly to security personnel
- Enables employee monitoring in the store
- Identifies suspicious persons in the store
WE BUILD OUR SOLUTIONS WITH THE BEST AVAILABLE TECHNOLOGY
PARTNERS
Strategic partnership is the cornerstone of success and mutual trust with partners drives innovation. We are happy that our strategic and technology partners SAS, VMware and Dell trust our effort to develop this product. Our portfolio of services relies on state-of-the-art technologies that form a perfect ecosystem - always available, always secure.
A combination of Diebold and DELL hardware with a VMware virtualization platform and an SAS forecasting solution makes FOOD SAVE a perfect and secure tool to address the needs of customers in retail.

