AI/ML Negotiation Chatbot for Faster, Objective Term Exchange
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Solution Overview
Problem
Conventional negotiations for contractual agreements are intricate, time-consuming, and prone to irrational considerations, limited by emotional factors, and struggle with accurately interpreting and responding to different negotiation styles, often lacking efficient systems to determine and finalize terms.
Innovation Solution
An AI/ML chatbot system that receives prospective terms, determines their acceptability based on parameters, generates counter terms, and transmits them to parties, utilizing machine learning to enhance negotiation efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional negotiation techniques are used, then parties can negotiate terms based on their priorities, but the process becomes intricate and time-consuming
Solution Approach 1:
The patent introduces an AI chatbot as an intermediary that automates the negotiation process between two parties. The chatbot receives prospective terms from one party, evaluates them against the other party's parameters, generates counter terms, and transmits them back, thereby reducing the time-consuming manual back-and-forth while preserving negotiation flexibility through intelligent automation
Solution Approach 2:
The negotiation system enables parties to conduct negotiations independently through the AI chatbot without requiring constant human intervention. The chatbot autonomously evaluates terms, generates counter proposals, and manages the negotiation flow, allowing parties to review and respond at their convenience while the system handles the intricate details automatically
2Ease of operation
If parties rely on independent determination of terms based on their priorities, then they maintain control over their interests, but irrational/emotional considerations prevent unbiased interpretation
Solution Approach 1:
The AI chatbot serves as an objective intermediary that evaluates prospective terms against predefined parameters without emotional bias. It systematically compares offered terms with the other party's priorities and constraints, generating counter terms based on rational analysis rather than emotional considerations, thereby ensuring unbiased interpretation while maintaining party autonomy
Solution Approach 2:
The patent replaces the mechanical human decision-making process with an AI-based system that processes negotiation terms through algorithmic evaluation. The chatbot uses structured parameter comparison and logical reasoning to assess terms, eliminating the influence of irrational or emotional factors that plague human negotiations while preserving the essence of party-controlled term determination
3Adaptability or versatility
If parties attempt to interpret and respond to various negotiation styles, then they can adapt to different approaches, but they struggle to accurately interpret and respond to aggressive, collaborative, congenial, or amenable styles
Solution Approach 1:
The AI chatbot replaces human interpretation of negotiation styles with an automated system that analyzes communication patterns, tone, and content to identify whether the opposing party is employing aggressive, collaborative, congenial, or amenable styles. The system responds with appropriately tailored counter terms and communication strategies, achieving accurate style recognition and adaptation that exceeds human capability
4Productivity
If parties use conventional techniques for negotiations, then they can conduct negotiations, but they are limited in the number of negotiations they can simultaneously perform
Solution Approach 1:
The AI chatbot enables parties to independently manage multiple negotiations simultaneously without requiring proportional increases in human resources. Each negotiation is handled autonomously by the chatbot through automated term evaluation, counter-proposal generation, and communication management, allowing unlimited parallel negotiations while maintaining system simplicity through standardized processing protocols
Data Source
AI summary
Systems and methods for an artificial intelligence (AI)/machine learning (ML) chatbot for intelligent negotiation of terms is disclosed herein. An exemplary computing system includes one or more processors; and a memory storing executable instructions thereon. When executed by the processors, these instructions may cause the processors to: determine or retrieve a parameter indicated by a first contracting party, the parameter including one of: (i) a prioritized product list, (ii) a set of priority contractual terms, or (iii) a negotiating style; and determine, via the AI chatbot, whether one or more prospective terms are acceptable terms based on the parameter. The instructions may further cause the processors to, responsive to determining that the one or more prospective terms are unacceptable terms, generate, via the AI chatbot, one or more counter terms based on the parameter; and transmit the one or more counter terms to a second contracting party.