Scandit unveils ShelfView smart data capture and analytics tool
Scandit has launched ShelfView, a data capture and analytics solution.
It says that the tool will enable retailers to “effortlessly capture in-store data, such as inventory, labels or stocks, in real-time via smartphone or autonomous robots”.
ShelfView automates routine tasks and provides the ability to scan millions of items of stock per day. According to Scandit, it can be scaled chain wide and in total, save stores and their employees up to 2.5 hours a day in processing.
ShelfView’s initial capabilities will help retailers optimise three main workflows: Accurate price and promotion label execution in real-time; Frictionless in-store order picking; Faster replenishment with precise in-store product localisation.
It is able to be integrated with robots such as Brain Robotics’ autonomous floor scrubbers. Such existing robots can be transformed to capture images as they clean the aisles, while ShelfView can be applied to mobile devices already in use by store associates.
Christian Floerkemeier, CTO and Co-Founder, Scandit, says: “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 maximise 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 labelling to achieve this.”
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