Journal of Advances in Developmental Research

E-ISSN: 0976-4844     Impact Factor: 9.71

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 1 January-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of January-June.

Optimizing Omnichannel Retail in SAP: Streamlining Inventory Allocation and Scaling Purchase Order Massification

Author(s) Manykandaprebou Vaitinadin
Country United States
Abstract Omnichannel retailing has revolutionized the retail industry by enabling seamless customer experiences across multiple sales channels. However, managing inventory allocation and purchase order massification within SAP systems remains a significant challenge. This paper explores strategies for optimizing inventory allocation and scaling purchase order massification within SAP, leveraging advanced functionalities and automation. The study highlights the benefits of integrating SAP modules, artificial intelligence (AI), and machine learning (ML) to enhance efficiency. By addressing challenges and limitations, the paper provides recommendations for future improvements and strategic adoption in the evolving retail landscape.
Keywords Omnichannel Retail, SAP, Inventory Allocation, Purchase Order Massification, Supply Chain Optimization, Machine Learning, AI In Retail, Retail Automation
Field Engineering
Published In Volume 15, Issue 2, July-December 2024
Published On 2024-07-04
Cite This Optimizing Omnichannel Retail in SAP: Streamlining Inventory Allocation and Scaling Purchase Order Massification - Manykandaprebou Vaitinadin - IJAIDR Volume 15, Issue 2, July-December 2024. DOI 10.5281/zenodo.14993237
DOI https://doi.org/10.5281/zenodo.14993237
Short DOI https://doi.org/g87f77

Share this