Store System User Rank Incentive Mechanism
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Solution Overview
Problem
Store systems face challenges in promoting sales as users may choose not to purchase items when they find lower prices at other stores, potentially missing sales opportunities due to price comparison.
Innovation Solution
An information processing apparatus that ranks users based on their purchase amounts and updates their rank and cumulative purchase amount if they choose not to purchase an item priced higher at their store compared to others, adding an additional amount to incentivize purchases of higher-priced items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the store sells commodities at market prices, then the store can maintain normal pricing, but users may choose not to purchase when prices are higher than other stores, resulting in lost sales opportunities
Solution Approach 1:
The patent converts the harmful effect of price comparison into a beneficial incentive mechanism. When users find higher prices at the own store compared to other stores, the system automatically provides compensation (additional amount) to offset the price difference, transforming the potential loss from price comparison into an opportunity to enhance user satisfaction and promote sales.
Solution Approach 2:
The patent changes the pricing parameter dynamically based on external price information. By acquiring price information from other stores and calculating the difference, the system adjusts the effective price for users through compensation, making the final price competitive while maintaining the store's original pricing strategy.
2Productivity
If the store provides price matching or compensation for higher prices, then user motivation to purchase increases, but the store incurs additional costs
Solution Approach 1:
The patent applies partial compensation rather than full price matching. The compensation amount is calculated as a portion of the price difference (additional amount), not necessarily the complete difference. This partial action approach provides sufficient incentive for users to purchase while limiting the store's additional cost exposure.
Solution Approach 2:
The system implements a feedback mechanism where price information from other stores is continuously acquired and used to adjust compensation amounts. This feedback loop allows the store to respond dynamically to market conditions, providing compensation only when necessary and at appropriate levels, thereby optimizing the balance between sales motivation and cost control.
Data Source
AI summary
In accordance with an embodiment, an information processing apparatus acquires a rank of a visiting user and an amount according to the ranking. The information processing apparatus acquires a price at an own store of a commodity that the user has selected for purchase. The information processing apparatus acquires a price at another store of the commodity that the user has selected for purchase. In a case in which the price at the own store is higher than the price at the other store, the information processing apparatus adds an amount based on a difference in price therebetween to the amount according to the ranking, which is acquired by a first acquisition means.