Scandit Launches ShelfView For Better Retail Management
Niko Pajkovic — February 17, 2022 — Business
References: scandit & prnewswire
Scandit, a company specializing in smart data analytics, has launched ShelfView, a retail-focused smart data capture solution designed to enable real-time shelf visibility and, in turn, improve the efficiency of store operations.
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.
Image Credit: Scandit
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.
Image Credit: Scandit
Trend Themes
1. Real-time Shelf Visibility - Innovative computer vision technology that allows retailers to capture and process real-time shelf-related data, enabling better operational efficiencies, improved product replenishment and ultimately improving customer experience.
2. Frictionless In-store Order Picking - Autonomous robots that enable frictionless in-store order picking, providing customers with a seamless shopping experience and reducing operational costs for retailers.
3. Smart Data Analytics for Retail - The use of smart data analytics in retail, which ensures on-shelf availability of products, accurate pricing and promotion labeling, and timely order fulfillment, leading to increased sales and customer satisfaction.
Industry Implications
1. Retail - Retail is the primary industry that can leverage real-time shelf scanning solutions such as ShelfView to boost operational efficiencies, reduce costs, expand workforce capacity, and improve customer experience.
2. Supply Chain and Logistics - The supply chain and logistics industry can benefit from autonomous robots that enable seamless order picking and inventory management.
3. Data Analytics - Smart data analytics is a potential disruptive innovation opportunity for the retail industry, which can optimize the use of data to improve operational efficiencies, reduce costs, increase sales, and enhance customer experience.
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