THE SIMPLIFICATION MODEL OF LOGICAL SOURCING – QUOTA ARRANGEMENT - FOR A MULTINATIONAL COMPANY – USING SAP, AI AND RPA. A CASE STUDY

Banta Viorel-Costin
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Banta Viorel-Costin: THE BUCHAREST UNIVERSITY OF ECONOMIC STUDIES

Annals - Economy Series, 2022, vol. 1, 195-200

Abstract: The last few years have brought into discussion a number of advantages and disadvantages in terms of implementing new AI technologies - Artificial Intelligence and RPA - Robotic Process Automation - within the economic processes that run in companies. These technologies have made a major impact in shaping economic processes, which have undergone essential transformations in their subsequent approach to the business environment. This case study will consider a series of changes that these technologies have brought to a company eager to change certain steps in the economic process of P2P - supply. Implementing and adapting the process in the sense of modifying it to add quota arrangement for suppliers who have a contract with this company. The company's desire was to be able to supply itself based on an algorithm that would allow a more precise selection of the quantities to be taken, the times to be reduced and the purchases to be made transparent. Quota arrangement is increasingly used in companies that produce, because the division of suppliers, on various criteria, including reminders of delivery times, quality, the possibility of extended supply, becomes, in the current context a necessity. It is often seen that there are fewer and fewer suppliers, the production capacity decreases from one day to the next. Most companies in our country and abroad have adopted ERP systems precisely to be able to have a flexibility in terms of using existing connections in this possibility to use various interconnected technologies - here considering AI, RPA and ML – Machine Learning.

Keywords: AI; SAP; RPA; ML; ERP; Rollout Solution; Economic Process Modelling (search for similar items in EconPapers)
Date: 2022
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