Opportunity Distribution Engine for Lead Routing

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Solution Overview

Problem

The lead distribution industry faces complexity due to intricate business interrelationships and contractual agreements, limiting the ability to maximize profitability in lead sales, as lead distributors struggle to identify suitable purchasers that conform to contractual and business requirements.

Innovation Solution

A processor-implemented lead distribution engine that populates tables with data about candidate businesses, selects preferred candidates based on various data types, and modifies data to improve future selections, ensuring better business benefits by considering lead sources, users, and intermediaries, and accommodating contractual agreements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a lead distributor sells leads to multiple suppliers based on geographical closeness or gross revenue, then the quantity of lead sales increases, but the ability to identify purchasers that conform to contractual agreements and business requirements deteriorates

Engineering Contradiction:

Improvelead sales volumeVSAvoidcompliance with contractual agreements

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system implements feedback mechanisms by continuously monitoring lead distribution outcomes and using this information to refine future distribution decisions. The engine learns from past performance data to improve compliance while maintaining sales volume, creating a closed-loop system that adapts to contractual requirements.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The lead distribution engine acts as an intermediary between lead distributors and suppliers, mediating the matching process to ensure contractual compliance. The engine evaluates multiple suppliers against contractual criteria and selects appropriate recipients, preventing direct violations of agreements while enabling continued high-volume sales.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If the lead distribution system considers complex business interrelationships and contractual agreements, then the reliability of lead allocation improves, but the device complexity increases

Engineering Contradiction:

Improvelead allocation accuracyVSAvoidsystem structure

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the complex lead distribution problem into distinct evaluation components: contractual compliance assessment, business relationship analysis, profitability calculation, and priority scoring. Each component handles a specific aspect independently, making the overall complex system manageable and maintainable while achieving reliable allocations.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The lead distribution engine is designed as a universal system that handles multiple types of contractual agreements, business relationships, and lead types through a single integrated platform. The engine's multi-functional design allows it to accommodate diverse requirements without requiring separate systems, managing complexity through consolidation.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If the system maximizes profitability by identifying optimal lead purchasers, then the revenue increases, but the difficulty of detecting and measuring suitable purchasers increases

Engineering Contradiction:

ImproveprofitabilityVSAvoidpurchaser identification

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The system transforms the difficult qualitative assessment of purchaser suitability into quantitative parameters including profitability scores, compliance metrics, and priority ratings. By changing the evaluation from subjective judgment to measurable parameters, the system can efficiently identify optimal purchasers while maximizing profitability.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system replaces manual purchaser identification and evaluation with an automated computational engine that uses algorithms to assess suitability criteria. This substitution of mechanical human analysis with automated computational processes reduces the difficulty of detecting and measuring suitable purchasers while maintaining or improving profitability identification.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS8321256B2Systems and methods relating to an opportunity distribution engine and distribution simulation

Publication Date: 2012.11.27 AUTOWEB INC

AI summary

Opportunity distribution systems and methods distribute business opportunities received from lead sources for routing to one or more destination businesses that will make use the opportunity, such as an opportunity to place a webpage advertisement on a webpage that is being served to a viewer. The system identifies a set of most profitable destinations for each opportunity, for each routing, while complying with business rules associated with the opportunity source and the destination businesses. System variables associated with the lead source and the destinations may be advantageously adjusted to maintain desired flow rate and quality levels of leads to each destination and to maximize profit to the system. A system administrator module and log of lead transactions allows the system to review previous performance and to carry out simulations in order to identify desired adjustments to system variables.