Dynamic Incentive Adjustment for E-commerce Sales Margins
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Solution Overview
Problem
E-commerce websites lack the ability to interactively monitor and manage user paths to maximize sales margins, as they cannot offer incentives dynamically based on user behavior like live salespersons, resulting in suboptimal sales strategies.
Innovation Solution
Applying gaming theory to analyze user behavior and adjust incentives (rewards and punishments) based on historical data to encourage specific paths and increase purchase likelihood, thereby maximizing sales margins.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If incentives are offered uniformly to all customers or to a particular class of customers, then the website can simplify its incentive management process, but the sales margin is suboptimal because the incentives cannot be dynamically adjusted based on user behavior
Solution Approach 1:
The patent implements dynamic incentive adjustment by continuously monitoring user behavior paths and modifying incentive offers in real-time. The system transitions from static, uniform incentive distribution to dynamic, behavior-based incentive management, allowing the website to adapt incentives based on observed user strategies and paths, thereby maximizing sales margins while managing complexity through automated decision-making algorithms
2Productivity
If the website cannot interactively monitor user paths, then the system remains simple to operate, but the ability to identify and exploit user strategies is limited, resulting in suboptimal sales
Solution Approach 1:
The patent employs feedback mechanisms by tracking user behavior paths and using this information to adjust incentive offers. The system monitors user interactions, identifies strategies being used, and modifies subsequent incentive presentations based on this feedback, creating a closed-loop system that continuously optimizes sales effectiveness without requiring complex manual intervention
3Reliability
If incentives are presented to increase purchase likelihood, then the probability of sale increases, but the sales margin decreases with each incentive presentation
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting incentive parameters (such as discount magnitude, free shipping thresholds, or bundle configurations) based on the user's position in the sales path and observed behavior. The system modifies these parameters to optimize the balance between increasing purchase likelihood and preserving margin, rather than applying fixed incentive levels throughout the customer journey
Data Source
AI summary
The present invention applies gaming theory and well-understood sales processes and techniques to allow the operator of an interactive sales medium to control what is displayed to a user of the medium in a manner that signals their intentions (e.g., looking for a lower price, looking for a particular incentive, etc.) so that the “strategies” being used by the consumer can be identified and exploited to lead the consumer to a desired end choice. In particular, upon identification of the strategies being used by the consumer, incentives (e.g., gradually increasing rewards and/or decreasing “punishments”) are presented to the consumer in such a way that the margins achieved by an eventual sale are slowly decreased with each presentation of the incentives to the consumer. Since the presentation of each incentive increases the likelihood the consumer will make a purchase, margins are maximized for the seller.