Artificial intelligence smart store management system
Patent Information
- Application Number
- TH2501006024
- Authority / Receiving Office
- TH · TH
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-09-10
- Publication Date
- 2026-10-05
Abstract
Claims
OCR06WT1. An AI-powered smart store management system comprising: a customer data analyst configured to collect and analyze customer data, including purchase history, gender, age group, and preferences, from customers accessing the online platform using pre-configured terminals; a product recommender configured to provide personalized product recommendations using customer data; a smart flyer creator configured to automatically create personalized flyers using customer data and customer selection information relevant to the product recommendations; a smart flyer distributor configured to distribute smart flyers created by the smart flyer creator to customers via online or mobile channels; and an AI analytics unit configured to automate marketing, evaluate smart flyers, identify needs, and select recommended products.And the analysis of sales data using predefined artificial intelligence algorithms or machine learning models.
2. The AI-powered smart store management system according to claim1, where the customer data analyzer calculates the customer grade (CG) score based on the following [Equation 1] using data from customers who have accessed and made payments through the online platform: [Equation 1] (where A Equation is the weight of the amount paid, A Equation is the average amount paid per transaction of the target customer, A is the average amount paid per transaction of all customers, P Equation is the weight of the payment frequency, P is the average payment time of the target customer, T is the weight of the time visited on the online platform, T Equation is the average time visited on the online platform of the target customer, T Equation is the average time visited on the online platform of all customers, V Equation is the weight for the number of times visited on the online platform, V Equation is the number of times visited on the online platform by the target customer, and V Equation is the average number of times visited on the online platform by all customers), categorizes customer grades based on the customer grade (CG) score.3.And provides pre-defined discount rates for products, promotional information, pre-order privileges, free gifts, and free shipping and return information tailored to customer grades.
3. AI-powered smart store management system based on claim 2, where the product recommender calculates recommendation points (Rs) for each product category according to the following [Equation 2] using data collected from the customer data analyzer and the customer's pre-defined terminal: [Equation 2] (where RT is the recommendation level time weight, T, T equation is the total cumulative time spent by the customer on the product display page in the same category, T equation is the total cumulative time spent by the customer on the product display page, P is the purchase amount weight, P equation is the total purchase amount for the product in the corresponding category, P equation is the total purchase amount, PP is the purchase interval weight, PPv is the average purchase interval, D is the current date, D equation is the last purchase date, SB is the shopping cart weight, and is the time spent on the shopping cart with the corresponding product category).SB is the time spent on a shopping cart containing one or more items, S is the seller's weight, SP is the weight for the corresponding product determined by the seller (SP equation is the lowest weight among all products sold by the seller, and SP equation is the highest weight among all products sold by the seller), and recommends products in decreasing order of priority based on the calculated recommendation score R_.
4. The AI-powered smart store management system according to claim 3, where the intelligent flyer creator performs the following: collects product data collected from the point of sale (POS) located in the store, automatically creates intelligent flyers according to predefined templates selected by the user using the collected product data, and automatically reflects predefined elements based on customer grades categorized by the customer data analyst.
5. The AI-powered smart store management system according to claim 1, where the artificial intelligence analyst automatically generates management reports including results in the form of charts, graphs, etc.And the dashboard, using customer data and management reports, will be built with separate sections for financial, management indicators, and performance smart leaflets;