For example, why have the sales of a newly moved product fallen? The answer may be far from obvious and require AI-powered solutions to understand.įrom 2D video to virtual worlds, augmented reality (AR) and virtual reality (VR) are entering the retail planning space and changing our understanding of what a planogram is. This helps ensure stock levels are neither too high nor too low.įurthermore, prescriptive analytics applications can manage and integrate different data sets collected by computer vision technology to provide real-time insights and actions for employees and managers that may otherwise be impossible to derive.

For example, how do consumers interact with the products and shelf space? Are the most popular items clearly visible, or are customers struggling to find them when scanning the shelves? According to findings published in the European Journal of Operational Research, 30% of in-store growth opportunity comes from product visibility.Įdge computing for retail can also be invaluable for inventory and supply chain planning, helping to keep a real-time record of sales so you know how often you need to replace a product. Real-time visual monitoring can also provide insights on the relationship between product placement and consumer purchasing behavior. If not, what adjustments does the data suggest should be made? For instance, product adjacencies can be negative as well as positive and impact not only the performance of specific nearby items, but also the entire shelf. This can include understanding whether a retail planogram is having the desired effect of boosting sales.

5G MEC-enabled intelligent video and computer vision technology not only helps monitor compliance, but the applications can also collect a treasure trove of data insights.

Retail planogram application