Use Cases

Asset Management with computer vision-enabled mobile devices enables enterprises to easily keep track of equipment and other items, helping users to make better decisions and operate more efficiently.

Use Scandit software-enabled smart devices featuring augmented reality to optimize the order picking process.

Scandit computer vision enables retailers to provide employees with smart device-based enterprise-grade barcode scanning functionality and create a robust, reliable Mobile Point-of-Sale (mPOS) process.

Customers can use a computer vision-enabled self-scanning app to add products to a virtual and physical cart and pay for their order, speeding up the checkout process and saving valuable front-of-store space.

Smartphone-based barcode scanning makes it easy for customers to interact with products in or out of the store and enables them to connect digitally with your enterprise at any time, driving more engaging and rewarding shopping experiences.

Mobile Order Entry gives buyers access to important product information, enables quick and easy ordering, and turns smartphones into decision-making tools that help them to do their jobs faster and more effectively — from wherever they are.

Scandit’s advanced data capture technology, along with built-in device cameras enable staff to instantly capture proof of delivery and document damaged or missing shipments.

Develop a computer vision-enabled mobile app to enable your employees to use smartphones to complete shipping & receiving tasks more quickly and with far fewer errors.

Our mobile data capture solution supports clienteling by giving sales associates real-time access to product and customer data, paving the way for superior service.

Create more efficient stock taking and inventory management workflows with Scandit’s mobile computer vision technology.

Camera-equipped mobile devices powered by Scandit computer vision software deliver optimized track and trace solutions for supply chain management.

Use a Scandit mobile computer vision solution to enable fast vehicle identification with mobile devices, drones, robots, and wearables.