Chatbot Image Voting System for Real-Time Product Promotion
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Solution Overview
Problem
Current marketing strategies, including coupons, lack engagement and efficiency in promoting products through digital means, particularly in real-time consumer interactions.
Innovation Solution
A promotion processing system that utilizes user devices with image recognition and chatbots to identify products, create social media walls for voting, and award digital rewards, such as coupons, based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional paper coupons are used for product promotion, then consumers can receive discount information, but consumer engagement and interaction are limited
Solution Approach 1:
The patent replaces the mechanical paper coupon system with a digital image-based system processed through chatbot technology. Users capture images of products, and the system automatically processes these images through AI recognition to identify products and generate relevant coupons, eliminating the need for physical paper coupons and enabling real-time digital interaction.
Solution Approach 2:
The chatbot serves as an intermediary between users and the promotion system. It receives user queries, processes image inputs, identifies products through image recognition, and delivers personalized coupons, creating an engaging conversational interface that enhances consumer interaction compared to traditional static paper coupons.
2Productivity
If digital promotions are delivered through traditional methods, then coupons can be distributed, but real-time consumer interaction and voting mechanisms are absent
Solution Approach 1:
The system implements feedback mechanisms where users can vote on preferred products and receive rewards based on collective voting results. This creates an interactive loop that enhances marketing effectiveness by allowing real-time consumer input and adjustment, while the automated chatbot handling keeps the interaction complexity manageable.
Solution Approach 2:
The promotion system transitions from static digital coupons to dynamic, interactive promotions. The system adapts in real-time based on user voting, image submissions, and engagement patterns, allowing marketing effectiveness to improve dynamically while the chatbot automates the complexity of managing these interactions.
3Measurement precision
If manual image recognition and product identification are performed, then accurate brand detection is achieved, but processing time and system resource consumption increase
Solution Approach 1:
The system performs preliminary actions by pre-training image recognition models and maintaining ready-to-use product databases. When users submit images, the pre-trained models can quickly process and identify brands without requiring extensive real-time computation, thus maintaining high accuracy while reducing processing time.
Solution Approach 2:
The system uses copied and stored product image data in databases for comparison. Instead of performing complex real-time analysis from scratch, the system compares user-submitted images against pre-stored product images and brand patterns, achieving accurate brand identification with reduced processing time through efficient pattern matching.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances product promotion engagement by leveraging user-generated content and real-time voting to determine rewards, increasing consumer interaction and marketing effectiveness.
Implementation Method 1
a camera carried by the housing... configured to acquire the image of at least one given product
Implementation Method 2
use image recognition to determine the brand associated with the at least one given product based upon the acquired image
Data Source
AI summary
A promotion processing system may include user devices that may include a mobile device to acquire an image of a given product having a brand associated therewith. The system may include a promotion processing server to obtain the acquired image of the given product from the mobile wireless device, and use image recognition to determine the brand associated with the given product based upon the acquired image. The server may also operate a chatbot with the user devices. The chatbot may include a social media wall having user-obtained images of different products, and each different product may be associated with the brand. The server may add the acquired image to the social media wall and solicit voting, within the chatbot and from the user devices, for a favored image on the social media wall, and determine and communicate a reward value to the mobile device based upon the voting.