Negotiation Automation Platform
1 OVERVIEW
1.1 INTRODUCTION
This paper introduces the Negotiation Automation Platform ( NAP ), a cutting-edge and specific type of negotiation platform solution that utilizes AI technology to automate negotiations between economic entities ( primarily in the manufacturing and logistics sectors ) to streamline the process of reaching agreement between them . By enhancing supply chain efficiency , NAP can prevent potential losses from ineffective product procurement , delivery , and inventory management .
Traditionally , supply chain coordination has heavily relied on human labor , causing increased costs and reduced accuracy . By employing AI technology , NAP automates the negotiation process , reduces the dependence on manual efforts and improves the overall efficiency of agreement-making among economic entities . NAP also has a critical advantage over other datasharing and collaborative control technologies . It only forms agreements when both parties find the terms acceptable , ensuring that sensitive and company confidential information is not disclosed unnecessarily .
Overall , NAP improves resource efficiency and contributes to economic and environmental sustainability across various sectors , supporting the achievement of Sustainable Development Goals ( SDGs ). In the manufacturing and logistics industries where supply chain efficiency is a pressing issue , NAP can effectively address everyday challenges requiring coordination with trading partners , such as sudden cancellations , supply shortages , and transportation delays .
1.2 PURPOSE
This article aims to inform and offer guidance to a wide range of stakeholders , encompassing manufacturers , logistics providers , and other supply chain entities , implementing and managing the Negotiation Automation Platform ( NAP ) within a supply chain network . The primary objective is to facilitate enhanced efficiency , seamless collaboration , and more effective decision-making processes .
1.3 SCOPE
In this article , we focus on applying NAP in the manufacturing , transportation , and shipping industries . However , it is worth noting that its potential extends to other sectors , including agriculture , energy and utilities , finance and banking , and retail . The ultimate vision of NAP is to establish a platform that facilitates automated negotiation processes , enabling more intelligent and efficient supply chains that swiftly match supply chain entities with their corresponding business counterparties regarding trade conditions . In Section 2 Motivation , we explore the general applicability of NAP within the manufacturing and logistics domains . Subsequently , we
Journal of Innovation 53