Negotiation Automation Platform
Additionally , users of NAP solutions need to review the status , process , and results of negotiations . Therefore , it is essential to connect the system with a user interface that allows them to do so . The case study in Section 5.2 Procurement of Parts and Sale of Automobiles , introduces an example of a dashboard ( Figure 5-5 ) that centralizes this information .
3.4 NEGOTIATION AI SYSTEM ARCHITECTURE
Figure 3-3 shows the basic architecture of the negotiation AI system . The person in charge configures basic policies and strategies in the Negotiation Manager . In return , the Negotiation Manager offers negotiation status to that person and requests the final decisions .
Based on the defined policies and strategies , Negotiation AI executes individual negotiations . To decide precise offering / accept / decline activities , Negotiation AI refers to internal information from In-House Systems and uses Prediction / Planning functions . When the negotiation reaches some conclusions , Negotiation AI also changes in-house information .
Negotiation AI negotiates with other negotiators via eNegotiation protocol standardized in UN / CEFACT .
This architecture shows how all confidential information can remain inside the company ( by design ). Protocols and data used to negotiate with other companies are based on eNegotiation protocols which do not include internal information .
4 BUSINESS
4.1 BENEFITS AND ISSUES
Figure 3-3 : Architecture of Negotiation AI .
The first benefit of Automated Negotiation by AI is the reduction of human costs associated with coordination with counterparties during negotiations . Under current business practices ,
64 August 2023