Method And System For Real-Time Inventory Management, Marketing, And Advertising In A Retail Store

What is this patent about?

’672 is related to the field of retail technology, specifically systems designed to enhance the in-store shopping experience. Brick-and-mortar retailers face challenges from online competitors, including showrooming and the ability to deliver personalized, data-driven experiences. Existing methods for understanding consumer behavior, such as POS data and focus groups, lack real-time insights into pre-purchase decision-making.

The underlying idea behind ’672 is to create a closed-loop system within a retail environment that monitors customer behavior, analyzes that behavior in real-time, and then uses those insights to influence purchasing decisions through targeted digital displays. This involves using a combination of sensors, cameras, and wireless communication to track customer movement, demographics, and product interactions.

The claims of ’672 focus on a system that integrates real-time inventory management, marketing, and advertising at the point of display. The system uses image recognition to identify products on shelves, displays product information and current pricing, and generates targeted promotions based on customer behavior analytics. A key aspect is the use of information monitoring devices to gather real-time customer data.

In practice, the system uses cameras to identify the products present on a shelf. It then displays information about those products, including pricing, on a screen located near the shelf. Simultaneously, the system uses sensors (potentially including MAC address tracking of mobile devices) to gather data about nearby customers. This data is analyzed to generate a targeted promotion, which is then displayed on the screen to the customer.

This approach differentiates itself from prior art by combining several functionalities into a single, integrated system. Instead of relying solely on historical sales data or generic advertising, ’672 aims to create a dynamic, personalized shopping experience that can adapt to individual customer behavior in real-time. The use of behavioral analytics to drive targeted promotions is a key element in this differentiation, allowing retailers to influence purchasing decisions more effectively.