An AI-Integrated Smart Shopping System for Consumer Behavior Analysis and Method Thereof

Abstract

The present invention discloses an AI-integrated smart shopping system for analyzing consumer buying behavior to enhance the retail experience and improve store management. The system includes AI-powered smart checkout counters equipped with image recognition cameras, smart floor sensors to monitor foot traffic, and augmented reality (AR) mirrors for virtual try-on experiences. The AI-powered checkout counters eliminate the need for barcode scanning, streamlining the checkout process while providing personalized promotions. Smart floor sensors collect data on consumer movement to optimize store layout and marketing strategies, and AR mirrors provide an immersive virtual try-on experience for clothing. The system gathers and processes consumer behavior data using machine learning to generate actionable insights for inventory management, product placement, and targeted marketing, thereby providing a seamless and personalized shopping experience and enhancing retailer decision-making.

Specification

Description:[014] The following sections of this article will provide various embodiments of the current invention with references to the accompanying drawings, whereby the reference numbers utilised in the picture correspond to like elements throughout the description. However, this invention is not limited to the embodiment described here and may be embodied in several other ways. Instead, the embodiment is included to ensure that this disclosure is extensive and complete and that individuals of ordinary skill in the art are properly informed of the extent of the invention. Numerical values and ranges are given for many parts of the implementations discussed in the following thorough discussion. These numbers and ranges are merely to be used as examples and are not meant to restrict the claims' applicability. A variety of materials are also recognised as fitting for certain aspects of the implementations. These materials should only be used as examples and are not meant to restrict the application of the innovation.
[015] Referring now to the drawings, these are illustrated in FIG. 1, the system disclosed in this invention integrates multiple technologies to create an intelligent shopping environment that provides real-time insights into consumer behavior while enhancing the overall shopping experience.
Smart Checkout System with Image Processing:
The smart checkout system utilizes AI-powered image recognition algorithms to identify products placed on the checkout counter. Cameras mounted at strategic angles capture images of the products, which are then processed using machine learning models trained to recognize the various items available in the store. This eliminates the need for barcode scanning, thereby reducing manual errors and speeding up the checkout process.
[016] In accordance with another embodiment of the present invention, the checkout system is also capable of associating each identified product with relevant consumer data, such as purchase history and preferences, allowing for personalized promotions and recommendations.
Smart Floor Sensors:
Pressure-sensitive floor sensors are installed across different sections of the store to monitor customer foot traffic. These sensors collect data about consumer movement, providing insights into how shoppers navigate through the store, the time spent in each section, and high-traffic areas. This data is processed using a central processing unit (CPU) integrated into the store's central monitoring system, which analyzes patterns to assist in decision-making regarding product placement and in-store promotions.
[017] In accordance with another embodiment of the present invention, the system can also integrate foot traffic data with point-of-sale (POS) data to gain insights into the correlation between consumer movement and sales conversions. This helps in making data-driven decisions for marketing strategies and store layout optimization.
Augmented Reality (AR) Mirrors:
The AR mirrors are implemented in the apparel section of the store, allowing customers to virtually try on clothing items. These mirrors utilize high-resolution cameras and image processing algorithms to superimpose selected garments onto the reflection of the consumer in real time. The AR mirrors are equipped with an interface that allows the consumer to browse through available clothing options and select items to "try on" virtually.
[018] In accordance with another embodiment of the present invention, by providing a visual representation of the clothing fit and style, the AR mirror reduces the need for physical trials, thus enhancing convenience and reducing fitting room congestion. Additionally, the system stores consumer preferences, helping in future product recommendations as illustrated in figure 2.
[019] In accordance with another embodiment of the present invention, the system continuously collects data from the smart checkout counters, floor sensors, and AR mirrors. This data is analyzed using machine learning algorithms to identify patterns in consumer behavior. The insights generated include preferred product categories, shopping duration, popular areas within the store, and the success of in-store promotions.
The method for analyzing buying behavior comprises:
Data Collection: Capturing consumer behavior data using smart checkout cameras, floor sensors, and AR mirrors.
Data Processing: Analyzing collected data using machine learning algorithms to identify buying patterns and preferences.
Insight Generation: Generating actionable insights for optimizing store layout, product placement, and marketing strategies.
Personalization: Using consumer data to provide personalized recommendations, promotions, and offers.
[020] The smart checkout system enhances efficiency and reduces errors during checkout by utilizing AI-powered image recognition technology.
Smart floor sensors provide detailed insights into consumer movement, enabling data-driven decision-making for store optimization.
Augmented reality mirrors improve the shopping experience for clothing customers, making virtual try-ons convenient and reducing the need for fitting rooms. The system enables the retailer to collect and analyze data on buying behavior in real time, leading to better product recommendations and marketing strategies.
[021] The AI-Integrated Smart Shopping System described in this invention provides a comprehensive solution for enhancing the consumer shopping experience while delivering valuable insights into consumer behavior. By integrating AI-powered checkout systems, smart floor sensors, and augmented reality mirrors, the system not only streamlines the shopping process but also offers retailers the opportunity to make informed, data-driven decisions. This innovative approach ensures a personalized, efficient, and enjoyable shopping experience for consumers, while simultaneously allowing retailers to optimize store layouts, inventory management, and marketing strategies, ultimately driving business growth and customer satisfaction.
[022] In the rapidly evolving retail landscape, adopting smart technologies is no longer optional but a necessity to stay competitive. This invention empowers retailers to understand their consumers on a deeper level, enabling them to anticipate needs, deliver personalized experiences, and adapt quickly to market demands. By leveraging the power of AI and data analytics, retailers can create a truly dynamic and responsive shopping environment that not only meets but exceeds consumer expectations.
[023] The benefits and advantages that the present invention may offer have been discussed above with reference to particular embodiments. These benefits and advantages are not to be interpreted as critical, necessary, or essential features of any or all of the embodiments, nor are they to be read as any elements or constraints that might contribute to their occurring or becoming more evident.
[024] Although specific embodiments have been used to describe the current invention, it should be recognized that these embodiments are merely illustrative and that the invention is not limited to them. The aforementioned embodiments are open to numerous alterations, additions, and improvements. These adaptations, changes, additions, and enhancements are considered to be within the purview of the invention. , Claims:1. A system for electronic shopping to analyze buying behavior among consumers, comprising:
AI-powered checkout counters equipped with cameras configured to identify products via image recognition, providing a seamless and barcode-free checkout process;
Pressure-sensitive smart floor sensors configured to monitor consumer foot traffic throughout a store, collecting data to optimize store layout and marketing strategies;
Augmented reality mirrors configured to allow consumers to virtually try on clothing items, wherein the AR mirrors utilize image processing for real-time visualization and provide an immersive shopping experience.
2. The system as claimed in claim 1, wherein the AI-powered checkout counters further provide personalized product recommendations based on the consumer's purchase history and preferences, enhancing consumer engagement.
3. The system as claimed in claim 1, wherein the smart floor sensors are configured to transmit foot traffic data to a central processing unit for analysis to determine high-traffic areas and optimize product placement, thereby improving store efficiency.
4. The system as claimed in claim 1, wherein the augmented reality mirrors are equipped with a browsing interface that allows the consumer to select garments to try on virtually, offering a convenient and interactive shopping experience.
5. A method for analyzing buying behavior among consumers, comprising:
a) Collecting data from AI-powered checkout counters, smart floor sensors, and AR mirrors to gather comprehensive insights on consumer activities.
b) Processing the data using machine learning algorithms to identify consumer behavior patterns, preferences, and trends.
c) Generating actionable insights to optimize store layout, product placement, and in-store marketing strategies.
6. The system as claimed in claim 1, wherein the data collected from the smart floor sensors is used to generate heat maps of consumer movement within the store, enabling data-driven optimization of store layout.
7. The system as claimed in claim 1, wherein the augmented reality mirrors provide an option for consumers to receive digital copies of their virtual try-on images for future reference or sharing, enhancing customer convenience and engagement.
8. The system as claimed in claim 1, wherein the AI-powered checkout counters integrate with a consumer loyalty program to provide real-time discounts and personalized offers based on consumer preferences, thereby increasing customer satisfaction.
9. The system as claimed in claim 1, wherein the smart floor sensors further detect and analyze the dwell time of consumers in specific store areas to determine interest levels in various products, providing valuable insights into consumer preferences.

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