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Bottom of Basket checks done right
15 % of all inventory discrepancies due to theft occur in the checkout area. Requiring cashiers to manually check every cart is straining and ineffective. The result is an interruption of the checkout process and a detriment to the customer experience.
All retail stores aiming to decrease theft at checkout in a reliable and unintrusive manner without unnecessary interruption of the checkout process.
Signatrix employs intelligent screening to detect items remaining in carts. The cashier is informed of still full carts while empty carts can pass through without incident.
A camera at the Point of Sale films the area in front of the cash desk. Recognized full carts are displayed as a photo on the screen to the cashier. Empty carts simply pass through.
Help cashiers deal with goods remaining in shopping carts by detecting items left in the cart or at the Bottom of the Basket while passing manned checkouts.
Ensured contact with a POS before leaving the self checkout area
The potential for Pushouts - customers leaving the store with carts full of unpaid products - at self checkout areas is especially high. Employees are often engaged with other tasks and are not able to detect such behaviour reliably.
Stores with a self checkout area that want to mitigate risk of losses while also freeing up employees from constantly supervising the exit.
Signatrix Deep Learning models recognize shopping carts and tracks their movements.
An employee is notified or an alert triggered if a cart passes through the exit without stopping at a terminal first.
Detect full carts or baskets exiting the Self-Checkout area without completing the payment process.
Making self checkout points a risk-free choice for retailers
Self-Checkout points are a must-have for modern retail stores, providing customers with a speedy and comfortable checkout option. But be it theft or honest mistakes, constant staff presence is often still required to prevent fraud.
Stores with a self checkout area that want a reliable and unobtrusive way to prevent mistakes or theft attempts. Without the need for constant supervision by employees.
Signatrix Self-Checkout evaluates the data from a camera at the self-service terminal and automatically recognises unscanned items.
The intelligent software detects and classifies visible objects and cross-checks the items visible to the camera to the items that the customer has actually scanned. If items remain unscanned, the screen shows a hint with a photo of the items in question and prompts the customer to correct their mistake. Employees can be notified of the incident.
Detect unscanned items at stationary Self-Checkout terminals and help customers avoid errors.
The Virtual Entrance Gate for Retail Stores of all Sizes and Shapes
Open Entrance areas are a standard for modern retail stores but provide thieves with ample opportunities. Pushouts - whole carts filled with unpaid goods getting pushed out off the store - are almost impossible to notice for store staff tasked with monitoring the open entrance.
Stores with an open entrance area that can be used as an unauthorised exit. Stores wanting to keep the benefits of open entrances while mitigating the risk of theft without requiring constant staff presence.
Signatrix uses artificial intelligence to detect the movement of shopping carts or baskets, as well as their fullness.
Should a full cart or basket pass through an open entrance, a subtle signal - audio or visual - guides the customer back on the correct track.
Simultaneously, employees are notified of the incident and can act if necessary.
Detect movements of (full) carts, baskets and people.
Protect Valuable assets by identifiying any especially important goods being removed from shelves at any time.
Detect attempts to remove large quantities of a product.
Automatically recognise unscannable products, such as fresh produce, at the self checkout terminal.
Detect discrepancies between visible objects and scanned objects at the self checkout terminal.
Help your staff help customers having a hard time making a decision.
Find out where your customers are really looking.
Start tracking conversion like online retailers by tracking the ratio of attention to ads to goods sold.
Understand how customers move through your store and make data-driven adjustments.
Be informed of machines - baking goods, fresh juice, bottle returns - requiring attention.
Let your staff know shelves need to be restocked before it's too late.
Find out about long queues and mitigate inefficiencies before customers start complaining.
Be informed about open freezers and refrigerator doors in the store.
Bottom of Basket checks done right
15 % of all inventory discrepancies due to theft occur in the checkout area. Requiring cashiers to manually check every cart is straining and ineffective. The result is an interruption of the checkout process and a detriment to the customer experience.
All retail stores aiming to decrease theft at checkout in a reliable and unintrusive manner without unnecessary interruption of the checkout process.
Signatrix employs intelligent screening to detect items remaining in carts. The cashier is informed of still full carts while empty carts can pass through without incident.
A camera at the Point of Sale films the area in front of the cash desk. Recognized full carts are displayed as a photo on the screen to the cashier. Empty carts simply pass through.
Help cashiers deal with goods remaining in shopping carts by detecting items left in the cart or at the Bottom of the Basket while passing manned checkouts.
Ensured contact with a POS before leaving the self checkout area
The potential for Pushouts - customers leaving the store with carts full of unpaid products - at self checkout areas is especially high. Employees are often engaged with other tasks and are not able to detect such behaviour reliably.
Stores with a self checkout area that want to mitigate risk of losses while also freeing up employees from constantly supervising the exit.
Signatrix Deep Learning models recognize shopping carts and tracks their movements.
An employee is notified or an alert triggered if a cart passes through the exit without stopping at a terminal first.
Detect full carts or baskets exiting the Self-Checkout area without completing the payment process.
Making self checkout points a risk-free choice for retailers
Self-Checkout points are a must-have for modern retail stores, providing customers with a speedy and comfortable checkout option. But be it theft or honest mistakes, constant staff presence is often still required to prevent fraud.
Stores with a self checkout area that want a reliable and unobtrusive way to prevent mistakes or theft attempts. Without the need for constant supervision by employees.
Signatrix Self-Checkout evaluates the data from a camera at the self-service terminal and automatically recognises unscanned items.
The intelligent software detects and classifies visible objects and cross-checks the items visible to the camera to the items that the customer has actually scanned. If items remain unscanned, the screen shows a hint with a photo of the items in question and prompts the customer to correct their mistake. Employees can be notified of the incident.
Detect unscanned items at stationary Self-Checkout terminals and help customers avoid errors.
The Virtual Entrance Gate for Retail Stores of all Sizes and Shapes
Open Entrance areas are a standard for modern retail stores but provide thieves with ample opportunities. Pushouts - whole carts filled with unpaid goods getting pushed out off the store - are almost impossible to notice for store staff tasked with monitoring the open entrance.
Stores with an open entrance area that can be used as an unauthorised exit. Stores wanting to keep the benefits of open entrances while mitigating the risk of theft without requiring constant staff presence.
Signatrix uses artificial intelligence to detect the movement of shopping carts or baskets, as well as their fullness.
Should a full cart or basket pass through an open entrance, a subtle signal - audio or visual - guides the customer back on the correct track.
Simultaneously, employees are notified of the incident and can act if necessary.
Detect movements of (full) carts, baskets and people.
Protect Valuable assets by identifiying any especially important goods being removed from shelves at any time.
Detect attempts to remove large quantities of a product.
Automatically recognise unscannable products, such as fresh produce, at the self checkout terminal.
Detect discrepancies between visible objects and scanned objects at the self checkout terminal.
Be informed of machines - baking goods, fresh juice, bottle returns - requiring attention.
Let your staff know shelves need to be restocked before it's too late.
Find out about long queues and mitigate inefficiencies before customers start complaining.
Be informed about open freezers and refrigerator doors in the store.
Help your staff help customers having a hard time making a decision.
Find out where your customers are really looking.
Start tracking conversion like online retailers by tracking the ratio of attention to ads to goods sold.
Understand how customers move through your store and make data-driven adjustments.