Retail revolution ai tag

Abstract

To solve problems in the retail trading that take time and effort to update promotions and price display, and are difficult to respond quickly to individual customer needs, and in which existing methods rely on one-size-fits-all promotions, have limited price display flexibility, and are expensive to operate.SOLUTION: A retail revolution AI tag uses AI technology to update commodity promotion information and price display on electronic displays in real time. This system analyzes data such as market trends, customer behavior, and seasons to generate optimal promotions. Multiple operational modes are provided to enable flexible promotional strategies based on needs of a store. Furthermore, centralized management is realized through API linkage, and personalized promotions utilizing customer data improve customer experience and reduce operating costs.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to digital marketing and price display technology in the retail industry, specifically in the following areas:

[0002] Electronic Display Technology: Relates to the use of electronic displays to dynamically display product information and prices. This category includes electronic paper displays, LED displays, and other advanced display technologies.

[0003] Artificial Intelligence (AI) Data Analysis and Generation: AI technology is used to automatically generate and optimize promotional information and price displays for products. Data-driven decision support, analysis of consumer behavior, forecasting market trends, and personalized content generation are key areas of focus in this field.

[0004] Real-time data processing technology: Technology that instantly updates the content displayed on a display through real-time data collection and analysis. This field requires efficient data processing algorithms and high-speed communication methods.

[0005] Personalized marketing communications: Technology that generates and displays personalized marketing messages based on customer characteristics and behavior. At the core of this field is customer segmentation and individualized content generation using machine learning.

[0006] The present invention integrates these technical fields to improve the efficiency of product promotion and price display in the retail industry. [Background technology]

[0007] The present invention builds on advances in technology related to product promotion and price display in the retail industry. The following is an overview of existing technology and challenges in this area.

[0008] Traditional promotional methods: Currently, paper-based attention stickers and pop stickers are commonly used in the retail industry. These stickers are displayed next to products to inform consumers of product features and promotions. However, these stickers are static and require physical effort and time to update.

[0009] Use of Electronic Shelf Label Tags: Some retailers are beginning to use electronic shelf label tags for price display. These tags allow for real-time price updates, but are generally limited to displaying price information and not product promotions.

[0010] Lack of customer engagement: Traditional promotional methods and electronic shelf labels make it difficult to provide dynamic promotional content based on customer behavior and preferences, limiting the ability to deliver effective promotions tailored to individual customers.

[0011] The need for data-driven marketing: In the modern retail industry, a huge amount of consumer data is generated, but implementing an efficient promotion strategy that utilizes this data is a challenge. It is necessary to analyze consumer behavior and preferences in real time and provide personalized promotions.

[0012] Taking into account these background technologies and challenges, this invention proposes a new system that integrates product promotion and price display, enabling the provision of dynamic and personalized promotions using AI. [Prior art documents] Patent and non-patent literature

[0013] Electronic shelf label literature: Technical literature on the basic structure and functionality of electronic shelf labels. These literature focuses on basic functionality such as automatic price updates.

[0014] Patent documents related to digital signage: Patents related to the use of digital signage in stores. These documents deal with technologies related to the digital display of product information and promotional content.

[0015] Patent documents related to AI data analysis and personalization: Patents related to AI technology for optimizing marketing strategies using customer data. These documents relate to technologies for analyzing consumer behavior and generating personalized content.

[0016] Technical Publications Related to Real-Time Data Processing: Literature related to techniques for collecting and analyzing data in real time. These provide information on the immediate processing of data and the design of responsive systems.

[0017] These documents represent existing solutions and approaches to the problem that the present invention seeks to solve. However, the present invention integrates these techniques and provides a more innovative solution, proposing a new approach to the problem of promotions and price display in the retail industry. Summary of the Invention

[0018] This invention provides a new system called "Retail Revolution AI Tag" that integrates product promotion and price display in the retail industry. This system combines electronic display technology with AI-driven data analysis to enable dynamic and efficient management of product promotion information and price display.

[0019] The main features are:

[0020] Utilizing electronic displays: Promotional information and prices are displayed in real time through electronic displays placed adjacent to each product.

[0021] Content generation and management by AI: Generative AI generates optimal promotional content based on data such as product features, market trends, and customer behavior patterns, and links it to price.

[0022] Offers various modes: Equipped with multiple modes to adapt to various operational scenarios, including normal mode, original mode, learning mode, and best mode.

[0023] Realizing a personalized customer experience: By analyzing customer data and providing promotional content that is appropriate for each individual customer, a personalized shopping experience can be realized. [Problem to be solved by the invention]

[0024] The present invention aims to solve the following problems in the retail industry:

[0025] Inefficiency of promotions and price displays: Traditional paper-based promotions are difficult to update and have limited integration with price displays. This invention improves efficiency by updating this information in real time and managing it centrally.

[0026] Lack of personalization: Uniform promotional methods make it difficult to conduct marketing that responds to individual customer preferences and behavior. This invention uses AI data analysis to realize promotions tailored to each individual customer.

[0027] Operational complexity: Current promotion methods involve a lot of manual work and are operationally complex. This invention simplifies operations through AI automation. This approach to these challenges contributes to more efficient promotions and price displays in the retail industry, improving customer experience, and reducing operational costs. [Means for solving the problem]

[0028] The Retail Revolution AI Tag of the present invention solves the problems of the retail industry through the following means:

[0029] Integrated Electronic Displays: Promotional information and pricing information are integrated and updated in real time through electronic displays installed adjacent to each product. These displays are designed to be highly visible and attract customer attention.

[0030] Dynamic content generation by AI: Generative AI takes into account factors such as market data, customer behavior, seasons, and events to generate optimal promotional messages for each product, enabling personalized promotions that are tailored to each customer.

[0031] Multiple modes implemented: Equipped with multiple modes that adapt to different scenarios, such as normal mode, original mode, learning mode, and best mode, this allows for flexible promotional development according to the characteristics of the store and product.

[0032] Real-time price adjustment and promotion linkage: When prices fluctuate, AI will instantly adjust promotion content to match the price, thereby maintaining the consistency and effectiveness of promotions as prices change.

[0033] Utilizing customer data: AI analyzes customer data (gender, age, etc.) collected from cameras installed at store entrances and generates promotions tailored to target customers, all while respecting their privacy.

[0034] Integration with API: API integration with other store management systems, such as cash register systems, enables centralized management of prices and promotions.

[0035] Through these means, the present invention eliminates inefficiencies in retail promotions and pricing, increasing customer engagement while reducing operational complexity. [Effects of the Invention]

[0036] The Retail Revolution AI Tag of the present invention provides the following significant effects:

[0037] Efficient promotion and price management: The combination of electronic displays and AI allows promotion and price display updates to be made quickly and efficiently, significantly reducing the time and effort required for traditional manual updating.

[0038] Providing personalized customer experiences: AI-based analysis of customer behavior will enable the generation of promotional messages tailored to each individual customer, creating a more personalized shopping experience.

[0039] Maximize sales: Effective promotions and price adjustments stimulate customer purchases and maximize sales. In particular, the ability to quickly respond to price fluctuations and special offers prevents slow sales and improves profits.

[0040] Reduced operational costs: Eliminating manual price updates and promotion updates reduces labor and related costs. Additionally, AI automation reduces human error.

[0041] Respond quickly to market trends: Generative AI can generate promotions that take market trends and seasonal events into account, allowing you to respond quickly to market fluctuations and maintain a competitive advantage.

[0042] Increased customer engagement: Targeted promotions capture customer attention and increase brand loyalty, while personalized messaging improves customer satisfaction.

[0043] Through these effects, Retail Revolution AI Tag will contribute to more efficient promotions, improved customer experience, and optimized management efficiency in the retail industry. [Brief explanation of the drawings]

[0044] [Figure 1] system configuration diagram DETAILED DESCRIPTION OF THE INVENTION

[0045] The Retail Revolution AI tag of the present invention can be implemented as follows.

[0046] Electronic display unit: This unit consists of electronic displays that are installed near the products. The displays can use LED or e-paper technology and have low power consumption and high visibility. Each display is connected to a central control system via a wireless or wired connection.

[0047] AI Control System: The AI control system, which is installed on a cloud-based or local server, manages promotion content and price updates. This system collects information from multiple data sources, such as product databases, customer behavior data, and market trend information, and uses generative AI to determine the optimal promotion content.

[0048] Mode selection function: Store operators can select modes to suit different operating scenarios, such as normal mode, original mode, learning mode, and best mode. This function allows them to implement flexible promotion strategies tailored to the needs of their stores.

[0049] Customer data integration and analysis: Customer data, including customer information (gender, age, etc.) obtained from cameras at store entrances, will be integrated into the AI control system and used to generate personalized promotions, all while respecting customer privacy.

[0050] API linkage and system integration: This system achieves centralized management of prices and promotions through API linkage with existing cash register systems and inventory management systems, thereby integrating the entire system and improving efficiency.

[0051] These embodiments allow Retail Revolution AI Tag to be easily implemented and operated in retail stores, thereby improving promotion efficiency, enhancing customer experience, and optimizing operational efficiency. [Example]

[0052] Below are some examples of how Retail Revolution AI Tags can be applied in practice:

[0053] Supermarket use case: Normal mode: AI generates optimal promotional text for each product and displays it on the electronic display. For example, if a particular fruit is in season, the price will be displayed along with the phrase "Enjoy the taste of the season." Original mode: Based on the supermarket's policy, special promotions such as "regional support products" are displayed for specific products. Learning mode: The AI analyzes bento sales data and determines the optimal timing for discounts. For example, it automatically increases the discount rate in the evening.

[0054] Example of use at a home appliance retail store: When a new product is released, a discount promotion for the old model is automatically launched. Generative AI determines the appropriate discount rate and promotional text, which are then displayed on an electronic display. Using Best Mode, we provide personalized product recommendations based on customer purchase history and market trends.

[0055] Example of use in a clothing store: AI generates promotions for seasonal fashion items and displays them on electronic displays. For example, summer items are displayed with attractive phrases such as "New Summer Collection." Analyze customer trends and develop promotions tailored to target customers.

[0056] These examples demonstrate that Retail Revolution AI Tag can adapt to various retail industry scenarios, enhancing customer engagement while improving operational efficiency. [Industrial Applicability]

[0057] The Retail Revolution AI Tag of the present invention has wide applicability in a variety of industries, including the retail industry.

[0058] Retail: Revolutionize product promotions and pricing in a variety of retail locations, including supermarkets, electronics retailers, clothing stores, and specialty shops. Improve customer shopping experience and drive sales with real-time price updates and personalized promotions.

[0059] Food and beverage industry: Can be used for displaying menus and promoting special offers in restaurants and cafes. Encourage customers to order by recommending seasonal and time-of-day menus and providing discount information.

[0060] Service industry: Can be used to promote and provide information about services in beauty salons, fitness clubs, entertainment venues, etc. Increase customer loyalty with customized offers based on customer preferences and usage history.

[0061] Event management: Used at exhibitions and commercial events to effectively present promotional information for each booth and product, attracting participants' attention and improving the efficiency of information transmission.

[0062] Pharmaceutical and healthcare industry: Used in pharmacies and hospitals to provide customers with information on medicines and health-related products. It allows users to receive timely and relevant health and product information.

[0063] As such, Retail Revolution AI Tag is expected to be used in a variety of industries due to its flexibility and wide applicability, which will greatly improve the efficiency of information transmission and enhance the customer experience.

Claims

1. A system for displaying promotional and pricing information for merchandise using electronic displays includes an electronic display positioned adjacent to each merchandise item.

2. In the system of claim 1, the generative AI control system analyzes product information, customer behavior data, and market trend information.

3. In the system according to claim 2, the generation AI control system generates promotional content optimized for each product based on the analysis and displays it on the electronic display.

4. In the system according to claim 3, promotional content is automatically updated based on fluctuations in product prices.

5. In the system of claim 2, the generative AI control system includes a normal mode, an original mode, a learning mode, and a best mode.

6. 10. The system of claim 1, wherein the electronic display is constructed using LED or electronic paper technology.

7. In the system according to claim 2, customer information collected via a camera installed at the store entrance is analyzed to generate personalized promotions.

8. The system according to claim 2 has a centralized management function through API linkage with a cash register system or an inventory management system.

9. In the system according to claim 7, the collection and analysis of customer information is performed in accordance with privacy protection regulations.

10. In the system according to any one of claims 1 to 9, the promotional content displayed on the electronic display is personalized based on characteristics of the customer, such as gender, age, and purchasing history.

11. In the system according to any one of claims 1 to 10, the promotion details and price information displayed on the electronic display are automatically updated based on product inventory status.

12. 12. The system of any one of claims 1 to 11, wherein the generative AI control system adjusts promotion content based on seasons, events, or specific promotion periods.

13. In the system according to any one of claims 1 to 12, the generation AI control system analyzes the customer's past purchase history and current behavioral patterns, and optimizes the promotion content based on the results.

14. In the system according to any one of claims 1 to 13, the generative AI control system creates future promotion plans based on market data and consumer behavior predictions.

15. In a system according to any one of claims 1 to 14, the electronic displays can be installed in various locations within a store, each of which is individually managed by a central control system.

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