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Real Time Business Intelligence in Agent-Oriented Supply Chain Management

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Real Time Business Intelligence in Agent-Oriented Supply Chain Management
Real time Business intelligence in Agent-Oriented supply chain management

H.G.D.S.Somadasa

Faculty of Information Technology
University of Moratuwa

iamdinidu@gmail.com

Real time Business intelligence in Agent-Oriented supply chain management

H.G.D.S.Somadasa

Faculty of Information Technology
University of Moratuwa

iamdinidu@gmail.com

Abstract: In the face of highly competitive markets and constant pressure to reduce lead times, enterprises today consider supply chain management to be the key area where improvements can significantly impact the bottom line. For companies maintaining direct contact with large numbers of customers, however, a growing number channel-oriented application (e.g. e-commerce support, call center support) create a new data Management challenge: that is effective way of integrating enterprise applications in real time. To learn from the past and forecast the future, many companies are adopting Business Intelligence (BI) tools and systems. Companies have understood the importance of enforcing achievements of the goals defined by their business strategies through business intelligence concepts. In this short review paper is mainly focused on how the real time BI concept is applicable for the supply chain management and critical broad review of findings in Agent based Business Intelligence approach for supply chain management.

1. Introduction

Business intelligence (BI) has two basic different meanings related to the use of the term intelligence. The primary, less frequently, is the human intelligence capacity applied in business affairs/activities. [1] Intelligence of Business is a new field of the investigation of the application of human cognitive faculties and artificial intelligence technologies to the management and decision support in different business problems. The second relates to the intelligence as information valued for its currency and relevance. It is expert information, knowledge and technologies

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