Methods And Systems For Providing Customer Assistance In A Retail Store

What is this patent about?

’718 is related to the field of retail customer service and marketing. The patent addresses the problem of brick-and-mortar stores needing to improve customer engagement and personalize the shopping experience to compete with online retailers. Current methods rely on limited data, such as point-of-sale information, and lack real-time insights into customer behavior before a purchase is made, leading to missed opportunities for targeted marketing and assistance.

The underlying idea behind ’718 is to use a network of information monitoring devices within a retail store to track a customer's behavior and product interactions in real-time. This data is then analyzed to identify potential sales opportunities and proactively alert sales associates to assist the customer. The system aims to bridge the gap between online and offline shopping experiences by providing personalized recommendations and support based on observed customer behavior.

The claims of ’718 focus on a method and system that uses video image devices to gather information about a shopper, including the products they handle while browsing and the products they present for purchase at the point of sale. The system then compares these two sets of products, uses this comparison to select a sales associate, and sends that associate a communication with information about the customer's shopping behavior, enabling the associate to provide targeted assistance.

In practice, the system uses cameras and other sensors to track a customer's movements and product interactions within the store. The system identifies which products a customer picks up and examines, and then tracks the customer to the checkout area. By comparing the items the customer considered with the items they are actually buying, the system can infer their preferences and potential unmet needs. This information is then relayed to a sales associate, allowing them to approach the customer with relevant suggestions or assistance.

This approach differentiates itself from prior art by providing real-time, pre-purchase insights into customer behavior. Instead of relying solely on historical sales data or generic marketing campaigns, the system uses real-time analysis of a customer's in-store interactions to personalize the shopping experience. By proactively alerting sales associates and providing them with relevant information, the system aims to improve customer satisfaction, increase sales, and combat the trend of showrooming.