Open AccessArtificial Intelligence in Enterprise Resource Planning Logistics
Author(s) -
Anand Mohan Agrawal,
D. Bora,
Shailesh Bhalerao
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h6179.069820
Subject(s) - enterprise resource planning , spare part , computer science , process (computing) , process management , resource (disambiguation) , information system , business intelligence , unit (ring theory) , analytics , knowledge management , business , data science , engineering , marketing , computer network , mathematics education , mathematics , electrical engineering , operating system
Enterprise Resource Planning system allows the various business departments, differentiated by various places or utilities or services provided, to mobilize vital information which helps them to in an integrated single system. Suppose we consider an ERP unit that enables flawless flow of information among its continuous system of a producing process, like spare parts buyer’s facility, parts storehouse owned by producer, and producing and arranging unit. ERP allows us real time information transfer among various systems so as to maintain that the producing house has the required supply of necessary parts to ensure seamless working because of inadequate supply while also overcoming the problem of oversupply of parts. Artificial Intelligence can be used along with ERP systems. Such AI-enabled ERP systems not only provide benefit to single application only but also put a major impact which is more than the sum of individual parts. The various amounts of benefits of using AI-based ERP system, which basically comes from the majorly three features:Minimize data entryIntelligent data processingIntegrated data analytics