Net Utility Determination for Product Replacement Decisions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Consumers face difficulties in selecting the most useful product and service plan due to the vast number of choices, and service providers struggle to design and price plans that are attractive to consumers while maximizing revenue.
Innovation Solution
A computing device determines the expected net utility for customers based on product replacement and service plan coverage decisions over time, using dynamic equations to evaluate utility values for each possible decision, allowing customers to maximize value and providers to evaluate pricing schemes effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If consumers evaluate all possible product and service plan combinations, then they can find the optimal choice, but the time and complexity of decision-making increases significantly
Solution Approach 1:
The system pre-calculates utility values for all possible product and service plan combinations before the consumer makes a decision. By performing this evaluation in advance, the system eliminates the need for consumers to manually evaluate each option during the decision-making process, thus maintaining high decision accuracy while significantly reducing the time required.
Solution Approach 2:
The computing device acts as an intermediary that automatically evaluates product and service plan combinations based on consumer preferences and constraints. This intermediary system handles the complex calculations and presents simplified recommendations to consumers, resolving the contradiction between thorough evaluation and time consumption.
2Adaptability or versatility
If service providers offer more service plan options, then consumer satisfaction increases, but the complexity of plan design and pricing increases
Solution Approach 1:
The system segments the complex service plan design problem into manageable components by evaluating each product and service plan combination separately using standardized utility functions. This segmentation allows providers to offer diverse plans while maintaining systematic control over design complexity through modular evaluation.
Solution Approach 2:
The system uses parameter-based utility functions that can be adjusted to reflect different consumer preferences, product characteristics, and service plan features. By changing parameters rather than redesigning entire evaluation models, providers can efficiently adapt to offer varied service plans while keeping the underlying design framework consistent and manageable.
3Adaptability or versatility
If consumers frequently upgrade to new products, then they access latest technology, but the cost and complexity of managing replacements increases
Solution Approach 1:
The system performs preliminary evaluation of product upgrade options by calculating utility values for current and potential new products based on consumer preferences and constraints. This advance evaluation helps consumers make informed upgrade decisions without having to manually assess technical specifications and compatibility, thus enabling frequent upgrades while reducing management complexity.
Data Source
AI summary
Example embodiments relate to net utility determinations based on product replacement and coverage decisions of a customer. In example embodiments, a number of net utility values corresponding to each possible product replacement decision and each possible coverage decision in each of a plurality of time periods is determined. An expected net utility attributable to the customer over the plurality of time periods is then determined based on the determined utility values.