The new solution utilizes computer vision technology to allow retailers to capture and process shelf-related data. For example, ShelfView can analyze labels in real-time, either through a mobile device or an autonomous in-store robot.
In addition, the technology can be used for "frictionless in-store order picking" when paired with an autonomous robot. Alternatively, it can be customized towards improving product replenishment.
Overall, ShelfView aims to help retailers boost operational efficiencies, reduce costs, expand workforce capacity, and improve customer experience. "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," explains Christian Floerkemeier CTO and Co-Founder of Scandit.
According to trendhunter.com