Mobile Offer Management System Using Shopping List and Location Data
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Solution Overview
Problem
Traditional businesses face challenges in providing personalized and timely offers to customers due to limitations in accessing user data and historical buying patterns, especially when customers use mobile devices within their premises, leading to missed opportunities for sales.
Innovation Solution
A mobile device system that generates a shopping list module and price negotiator module to receive user input, identify location, and obtain offer records based on the shopping list and maximum price, normalizing and ranking these records for personalized and real-time offer transmission to users within proximity of a business, enabling instant discounts and promotions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional businesses provide static coupons, then customers can collect coupons before shopping, but the coupons lack personalization and fail to target specific customers
Solution Approach 1:
The system performs preliminary actions by collecting customer data, identifying shopping lists, and preparing personalized offer records before the customer arrives at the store. The mobile device receives and processes shopping list information in advance, enabling the system to generate targeted offers rather than providing generic static coupons.
Solution Approach 2:
The mobile device acts as an intermediary between the traditional business and the customer. It receives shopping list data from the user, communicates with the business system, and delivers personalized offer records back to the customer, enabling targeted marketing without requiring complex changes to the traditional business infrastructure.
2Loss of time
If businesses provide coupons at checkout, then customers receive offers after selecting items, but this misses the opportunity to make immediate sales
Solution Approach 1:
The system delivers offer records to the mobile device before the customer completes their shopping transaction. By processing shopping lists and generating personalized offers in advance, the system ensures customers receive relevant discounts during their shopping trip rather than at checkout, enabling immediate purchase decisions.
Solution Approach 2:
The system uses feedback from the customer's shopping list data to dynamically generate and deliver relevant offer records. The mobile device receives real-time information about what items the customer intends to purchase and provides targeted offers accordingly, creating a responsive marketing system that adapts to customer behavior.
3Adaptability or versatility
If businesses use store-specific loyalty cards, then they can track customer purchases, but this limits personalized offers to only loyalty card members
Solution Approach 1:
The system uses the mobile device as a universal platform that can serve both loyalty program members and non-members. The mobile device can receive and process shopping list data from any user, enabling the business to provide personalized offers to a broader customer base beyond just loyalty card holders.
Solution Approach 2:
The system enables self-service by allowing customers to input their own shopping lists directly into the mobile device. This eliminates the requirement for mandatory loyalty card registration, as customers can independently provide their shopping information and receive personalized offers without business intervention for data collection.
4Loss of information
If businesses lack access to real-time location data, then they cannot provide location-based offers, but this reduces the ability to target customers within store premises
Solution Approach 1:
The mobile device serves as an intermediary that collects and transmits location information between the customer and the business system. By utilizing the mobile device's location capabilities, the system can identify when customers are within store premises and deliver location-based personalized offers without requiring the business to implement complex location tracking infrastructure.
Data Source
AI summary
The present invention relates to a method and system for managing mobile offer records. The system may receive a query from a user including a shopping list comprising a plurality of items and a maximum price for a set of item descriptions of the shopping list. The system may identify a location of a mobile device. The system may obtain a plurality of offer records based on the location of the mobile device, the shopping list, and the maximum price. The system may normalize the plurality of offer records based on a value of the offer records. The system may rank the plurality of offer records based on the normalization.


