LEVERAGE DISPLAY RECOGNITION TO MAXIMIZE POTENTIAL SALES GROWTH
Brick-and-mortar stores still make up 80% of total retail sales, according to the US Census Bureau. Improving in-store shopper engagement is a critical component of selling and an essential sales growth strategy. Stores are leveraging new technologies and tools such as AI, sensors, cameras, and robots. TV screens and in-store advertising are becoming more common, as is the increasing prevalence of static in-store and outside-store displays. In most categories, displays drive incremental sales. Manufacturers and retailers must maximize the value of their existing space and infrastructure.
How can this be measured? How can in-store execution and behavior be adjusted to maximize the potential for sales growth?
Promptly setting up relevant in-store displays and measuring their impact is an important but easy-to-implement way to track this potential sales growth. On device image recognition, such as StayinFront’s On Device Neural Network (ODNN), allows your store rep to quickly capture your displays, display type, assortment, and other important metrics, including number and location, in real-time.
Transform these insights into key performance indicators (KPIs), which serve as a valuable benchmark of relevant store performance for reps and managers to compare to its cohort group by combining with other store data and leveraging Actionable Insights from StayinFront Retail Data Insight (RDI).
Optimizing and measuring in-store displays to your advantage is an important driver in growing your retail sales organically.
Contact a StayinFront sales rep to learn how you can Know More, Do More, and Sell More in every store visit.
