Electronic Shopping List Generation with Price Data
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Solution Overview
Problem
Consumers face challenges in managing recurring purchases of consumable items due to reliance on ad-hoc shopping lists, leading to forgotten items, inefficient shopping trips, and missed opportunities for discounts, as they lack a systematic way to track item needs and prices across multiple merchants.
Innovation Solution
A computer-implemented method and system that generates electronic shopping lists based on item-level transaction data, determining purchase intervals and estimated dates for item replenishment, including prices and applicable coupons, and transmitting these lists to consumer devices for convenient shopping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If consumers rely on ad-hoc shopping lists and memory to track item needs, then they can avoid using complex tracking systems, but they forget items and make inefficient shopping trips
Solution Approach 1:
The system performs preliminary actions by automatically generating shopping lists before consumers need them, analyzing past purchase data to predict when items will be needed and preparing organized lists in advance, eliminating the need for consumers to manually track items while ensuring timely purchases
2Adaptability or versatility
If consumers manually track item consumption and create shopping lists, then they can maintain control over their purchases, but they lose time and make multiple shopping trips
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring consumer purchase history and consumption patterns, automatically updating shopping lists based on actual usage rates, and providing real-time notifications when items need replenishment, allowing consumers to make informed decisions without manual tracking
Solution Approach 2:
The system performs self-service by automatically generating and updating shopping lists without consumer intervention, analyzing purchase data, predicting future needs, and organizing items by merchant and price, freeing consumers from the time-consuming task of manual list management while maintaining full control over purchasing decisions
3Adaptability or versatility
If consumers shop at multiple merchants for different items, then they can access better item selection and prices, but they miss rewards opportunities and incur additional travel costs
Solution Approach 1:
The system merges shopping opportunities by consolidating items from multiple merchants into a single optimized shopping list, grouping items by merchant location and identifying which merchants offer the best combination of price, selection, and rewards programs, allowing consumers to make efficient single-trip decisions that capture the benefits of shopping across multiple merchants
4Ease of operation
If consumers do not track item prices and coupons, then they can simplify their shopping process, but they cannot budget effectively or take advantage of discounts
Solution Approach 1:
The system performs preliminary actions by pre-fetching and organizing price and coupon information for all items on the shopping list before the consumer shops, identifying available discounts, calculating potential savings, and presenting this information in an easily digestible format, allowing consumers to budget effectively without manual research
Data Source
AI summary
Systems, computer-implemented methods and computer program products for generating electronic shopping lists for recurring item purchase that identify items and their respective prices. Item-level electronic transaction data is analyzed to determine purchase intervals of items and estimate when the consumer will purchase the items again. A source of price data is accessed to determine prices of respective items, and an electronic shopping list is generated based on prior consumer purchase and lists items that when it is determined that consumer will need to purchase those items again and their respective prices.