Dynamic Sales Territory Balancing via Constructal Law
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Solution Overview
Problem
Current sales territory design methods are inefficient and resistant to change, as they are based on subjective factors and do not adapt to fluctuations in workload or changes in channel flow, leading to inefficiencies and imbalance.
Innovation Solution
Implementing a computer-implemented method that uses the Constructal Law to dynamically calculate and redefine sales territories based on objective, channel flow-based principles, allowing for real-time rebalancing and optimization of territories in digital maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional sales territory design methods are used, then territory boundaries are stable and defended, but efficiency deteriorates and adaptability to workload changes is lost
Solution Approach 1:
The patent implements dynamic territory boundaries that automatically adjust based on real-time workload metrics and channel flow data. The system continuously recalculates territory assignments using the Constructal Law, allowing territories to evolve from static, defended regions to dynamic, adaptive configurations that respond to changing sales conditions, customer distributions, and workload requirements.
Solution Approach 2:
The system changes key parameters including territory boundaries, sales representative assignments, and workload distributions based on objective computational metrics rather than subjective factors. By using the Constructal Law to optimize based on flow efficiency and workload balance parameters, the system automatically adjusts territory configurations to maintain optimal productivity while adapting to changing conditions.
2Measurement precision
If manual territory design is used, then subjective factors can be considered, but objectivity and computational precision are lost
Solution Approach 1:
The patent replaces manual, subjective territory design processes with an automated computational system based on the Constructal Law. The system uses objective algorithms to calculate optimal territory boundaries and assignments, substituting human judgment with precise mathematical optimization that considers multiple parameters simultaneously, including workload metrics, channel flow, and geographic constraints.
Solution Approach 2:
The system performs self-service by automatically generating and optimizing territory configurations without requiring manual intervention. The Constructal Law-based algorithm independently calculates optimal territory assignments based on input data, continuously adapting to changing conditions and providing objective, precise territory definitions that improve measurement precision while managing system complexity through automation.
3Productivity
If territories are frequently adjusted to improve efficiency, then adaptability improves, but stability and resistance to change deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors workload metrics, channel flow, and territory performance data. The Constructal Law optimization algorithm uses this feedback to determine when and how to adjust territories, making changes only when objective metrics indicate improvement opportunities. This feedback-driven approach balances adaptability with stability by preventing unnecessary changes while responding to genuine efficiency opportunities.
Data Source
AI summary
With digitally stored geographical maps, programmed algorithms can calculate a plurality of territories within a map, the territories being balanced with respect to metric data that is associated with units of the map, using channel flow-based principles of the Constructal Law. One field of application is balanced territories for sales representatives in which units of a map are associated with different customers or entities having different sales volume, unit volume, or other workload associated with the units. As the magnitude of workload metrics changes, territories can be rapidly and efficiently rebalanced.