Dynamic Customer Criteria Matching for Promotion Targeting
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Solution Overview
Problem
Telecommunication Service Providers face challenges in determining the right price for different customer segments due to rapid market and technology changes, requiring efficient real-time differential pricing strategies across retail and digital channels to enhance customer loyalty and sales conversion.
Innovation Solution
A system and method using full and partial dynamic customer criteria sets to configure promotion criteria for salable entities, dynamically generating customer criteria sets, and matching them to determine target promotions for presentation, ensuring efficient and timely delivery of relevant offers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If proactive up-sale strategies are automated to present multiple promotion options to customers, then sales conversion efficiency improves, but the complexity of selecting and managing promotion criteria sets increases
Solution Approach 1:
The patent segments the large field of promotion options into manageable criteria sets that can be dynamically configured and matched against customer profiles. By dividing the complex promotion selection task into discrete, configurable criteria elements, the system makes automated up-selling feasible without overwhelming complexity
Solution Approach 2:
The patent implements dynamic criteria sets that can be flexibly configured and adjusted based on market conditions and customer segments. This dynamic approach allows the system to adapt promotion strategies in real-time, maintaining high sales conversion efficiency while managing complexity through programmable flexibility rather than static rigid structures
2Productivity
If differential pricing strategies are applied across multiple customer segments in real-time, then customer loyalty and sales conversion improve, but the computational complexity and processing time increase
Solution Approach 1:
The patent performs preliminary configuration of promotion criteria sets and pre-establishes matching rules before real-time customer interactions. By preparing the evaluation framework in advance, the system can quickly match customers to promotions during real-time transactions without excessive processing delays
Solution Approach 2:
The patent utilizes configurable parameters within criteria sets that can be adjusted to optimize matching speed and accuracy. By changing parameters such as matching thresholds, criteria weights, and segmentation rules, the system balances real-time processing requirements with the need for sophisticated differential pricing across customer segments
3Ease of operation
If the field of possible up-sale options is reduced to a manageable size for customer selection, then ease of customer decision-making improves, but the risk of missing optimal promotion matches increases
Solution Approach 1:
The patent incorporates feedback mechanisms that learn from customer responses and selection patterns. By analyzing which promotions customers accept or reject, the system refines its criteria sets and matching algorithms over time, ensuring that the reduced set of presented options continues to include the most relevant and optimal promotions for each customer segment
Data Source
AI summary
As described herein, a system, method, and computer program are provided for using full and partial dynamic customer criteria sets for targeting promotions. In use, a promotion criteria set is configured for each of a plurality of promotions associated with salable entities. Additionally, a customer criteria set is dynamically generated for a customer. Further, full and partial matching of the customer criteria set to the promotion criteria sets is performed to determine one or more target promotions from the plurality of promotions. Still yet, the one or more target promotions are output for presentation to the customer.