NAAS: Negotiation Automation Architecture with Buyer's Behavior Pattern Prediction Component
Debajyoti Mukhopadhyay, Sheetal Vij, Suyog Tasare

TL;DR
This paper introduces NAAS, a negotiation automation framework that incorporates buyer behavior prediction to enhance automated negotiation processes in e-commerce and B2B transactions.
Contribution
The paper proposes a novel architecture, NAAS, integrating buyer behavior pattern prediction with classical negotiation frameworks for improved automation.
Findings
Proposed a new combinatory negotiation framework.
Integrated buyer behavior prediction into negotiation architecture.
Outlined future development of comprehensive negotiation protocols.
Abstract
In this era of "Services" everywhere, with the explosive growth of E-Commerce and B2B transactions, there is a pressing need for the development of intelligent negotiation systems which consists of feasible architecture, a reliable framework and flexible multi agent based protocols developed in specialized negotiation languages with complete semantics and support for message passing between the buyers and sellers. This is possible using web services on the internet. The key issue is negotiation and its automation. In this paper we review the classical negotiation methods and some of the existing architectures and frameworks. We are proposing here a new combinatory framework and architecture, NAAS. The key feature in this framework is a component for prediction or probabilistic behavior pattern recognition of a buyer, along with the other classical approaches of negotiation frameworks…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Logic, Reasoning, and Knowledge · Business Process Modeling and Analysis
