Pickeru

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Enabling smart shopping Convenient. fast. efficient.

Enable smart shopping by retrofitting existing infrastructure.
Pickeru automatically identifies every item that is put into a shopping basket or cart by using artificial intelligence. Customers can pair their own smartphones or an additional camera with regular shopping carts and baskets. The visual input is then processed in real-time to recognize which items the customers pick. A smartphone app allows shoppers to access their shopping cart, see value-added services, and pay. Retail stores can leverage data insights for in-store analytics and cross- and up-selling and use the space occupied by checkout counters for sales.
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Features for shoppers Bridging the online and offline customer experience by bringing convenience and data insights to brick-and-mortar retail.

Automatic identification Items are recognized through computer vision as soon as the customers place them into their shopping cart.

Transparent cart Users can check what they already picked in real-time and profit from additional value-added services such as recommendations.

Seamless checkout Customers can checkout directly through the app by using their preferred e-payment method without additional effort.

Benefits for retailers Retailers can leverage data insights for advanced in-store analytics and up- and cross-selling and gain additional commerce space.

In-store analytics Analyze customer flows, floor-to-floor conversion, and dwell time by leveraging our data insights.

Up- and cross-selling Provide customers with recommendations, coupons, and individualized marketing campaigns while shopping.

Efficient retail space Our solution allows retailers to retrofit existing infrastructure without huge investments and free up space currently occupied by checkout counters.

Using artificial intelligence to digitize offline retail.
We use a mixture of traditional computer vision and deep learning to recognize objects. Additionally, we integrate other smartphone sensor data to gather more insights and improve our accuracy. By leveraging advanced analytics and machine learning, we can create tangible insights into your customers and help with data-driven decision making.
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Perception We use either smartphone cameras or additional cameras to get the visual input data. With acceleration and gyro sensors, we can determine the location of the customers.

Recognition We use machine learning combined with traditional computer vision for object recognition and fuse the sensor data to get additional insights such as customer routes.

Decision We leverage different sorts of data from multiple input sources to improve our scanning accuracy and offer advanced analytics techniques for optimization.

André Petry
André Petry
Manuel Zahn
Manuel Zahn
Arvind Somasundaram
Arvind Somasundaram
Nico Bentenrieder
Nico Bentenrieder
Anshul Sharma
Anshul Sharma
Johannes Thanner
Johannes Thanner