LEVERAGING AI TO REVOLUTIONIZE BUSINESS PROCESSES

In an increasingly dynamic and competitive industrial environment, organizations face the challenge of maintaining decision-making autonomy while responding to increasingly complex external demands. This paper proposes an intelligent, agent-based framework to coordinate simultaneous and parallel negotiations among autonomous entities such as microgrids or organizations operating within the same sector competing for access to limited and heterogeneous resources. The model targets organizations that are unable to independently fulfill large-scale contracts and are therefore compelled to outsource parts of these contracts, sometimes even to competitors. Each organization aims to preserve its autonomy and minimize the disclosure of sensitive business information. In this context, interoperability becomes fragile, requiring constant adjustments that may conflict with existing systems and structures. To address these challenges, the paper presents a collaborative platform supported by a cloud-based infrastructure and intelligent negotiation mechanisms, where autonomous agents iteratively evaluate and adjust offers and counteroffers. The negotiation process is managed through a communication protocol that ensures transparency, flexibility, and consistency in information exchanges. By leveraging AI, the proposed system transforms how business processes are managed, delivering key benefits such as decision automation, reduced response time, enhanced collaboration, and increased sustainability within virtual enterprise networks. Negotiation thus becomes the central mechanism through which autonomous organizations reach consensus, align objectives, and co-create value in an integrated digital ecosystem.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LEVERAGING AI TO REVOLUTIONIZE BUSINESS PROCESSES

SHILAP Revista de lepidopterología
Topic Modeling
article

LEVERAGING AI TO REVOLUTIONIZE BUSINESS PROCESSES

article en

Abstract

In an increasingly dynamic and competitive industrial environment, organizations face the challenge of maintaining decision-making autonomy while responding to increasingly complex external demands. This paper proposes an intelligent, agent-based framework to coordinate simultaneous and parallel negotiations among autonomous entities such as microgrids or organizations operating within the same sector competing for access to limited and heterogeneous resources. The model targets organizations that are unable to independently fulfill large-scale contracts and are therefore compelled to outsource parts of these contracts, sometimes even to competitors. Each organization aims to preserve its autonomy and minimize the disclosure of sensitive business information. In this context, interoperability becomes fragile, requiring constant adjustments that may conflict with existing systems and structures. To address these challenges, the paper presents a collaborative platform supported by a cloud-based infrastructure and intelligent negotiation mechanisms, where autonomous agents iteratively evaluate and adjust offers and counteroffers. The negotiation process is managed through a communication protocol that ensures transparency, flexibility, and consistency in information exchanges. By leveraging AI, the proposed system transforms how business processes are managed, delivering key benefits such as decision automation, reduced response time, enhanced collaboration, and increased sustainability within virtual enterprise networks. Negotiation thus becomes the central mechanism through which autonomous organizations reach consensus, align objectives, and co-create value in an integrated digital ecosystem.

SHILAP Revista de lepidopterología
Universitatea Nicolae Titulescu din București (RO)
Openalex Percentile: Top 72%
Topic Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.