Scandit has launched ShelfView for retail. ShelfView is a smart data capture and analytics solution that enables real-time shelf visibility and empowers more intelligent and efficient store operations.
Based on advanced computer vision technology, it enables retailers to effortlessly capture and process in-store data, such as pricing and inventory locations, to take action based on intelligence and accurate real-time information.
Ideal for grocers and stores with high-SKU volume, Scandit ShelfView addresses some fundamental challenges retailers are facing today to tackle razor-thin margins and drive cost optimization. Introducing in-store labor automation and robotics can help retailers add another 2-4% to their profitability according to McKinsey. With rising labor costs, worker shortage, and pressure to deliver omnichannel fulfillment, ShelfView automates routine tasks which are currently conducted manually and prone to error to maximize store associate efficiency and reduce employee turnover.
ShelfView’s initial capabilities will help retailers optimize three main workflows:
Accurate price and promotion label execution: ShelfView analyzes both labels and signage in real-time, either via mobile devices or autonomous robots, to inform store associates of required adjustments to optimize sales and increase price integrity.
Frictionless in-store order picking: Shelfview, with autonomous robots, provides accurate product locations to store associates resulting in lower substitution rates, decreased picking delays and delivering an optimized customer experience. Anyone second saved in order picking can translate in up to $10 million of annual cost savings1.
Faster replenishment with precise in-store product localization: Via autonomous data capture, ShelfView can scan shelf and pallet labels to analyze the accurate location of pallets for replenishment. This can save stores up to 2.5 hours a day resulting in-store associates being leveraged for more critical tasks2.
Christian Floerkemeier, CTO and Co-Founder of Scandit, said, “All retailers understand that improving the in-store shopper experience is more important than ever, but doing so economically remains critical. Automating and simplifying routine tasks empowers retailers to maximize revenues while increasing the efficiency, value, and engagement of their store associates. By leveraging our smart data capture capabilities, ShelfView can increase on-shelf product availability, improve the rate of online orders fulfilled and lift sales through accurate pricing and promotion labeling to achieve this.”
With industry-leading performance, Scandit ShelfView leverages augmented reality (AR), object recognition, object detection, optical character recognition, and other advanced computer vision technology to process images acquired through both mobile devices and autonomous data capture.