AI and automation in SAP CRM TPM and S4/HANA SD: Enhancing promotion planning and sales processes

The integration of artificial intelligence and automation technologies is fundamentally transforming trade promotion management and sales processes within SAP's Customer Relationship Management and S/4HANA Sales and Distribution modules. This transformation spans multiple functional areas, including automated approval workflows, dynamic fund allocation, smart claim processing, advanced sales forecasting, demand sensing, ROI optimization, intelligent order processing, conversational AI, and robotic process automation. Organizations implementing these technologies have experienced substantial improvements in operational efficiency, forecast accuracy, promotional effectiveness, and overall return on investment. Key enablers include multi-dimensional data analysis, external data integration, continuous learning capabilities, and causal factor analysis. Success factors include data quality management, comprehensive change management, and phased implementation approaches. Future developments in edge computing, quantum computing, and extended reality promise to further enhance these capabilities, creating significant competitive advantages for early adopters.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-05-09
DOI
https://doi.org/10.30574/wjaets.2025.15.2.0499
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

AI and automation in SAP CRM TPM and S4/HANA SD: Enhancing promotion planning and sales processes

Sreenu Arvapalli
World Journal of Advanced Engineering Technology and Sciences
Big Data and Business Intelligence
article

AI and automation in SAP CRM TPM and S4/HANA SD: Enhancing promotion planning and sales processes

Sreenu Arvapalli
article en

Abstract

The integration of artificial intelligence and automation technologies is fundamentally transforming trade promotion management and sales processes within SAP's Customer Relationship Management and S/4HANA Sales and Distribution modules. This transformation spans multiple functional areas, including automated approval workflows, dynamic fund allocation, smart claim processing, advanced sales forecasting, demand sensing, ROI optimization, intelligent order processing, conversational AI, and robotic process automation. Organizations implementing these technologies have experienced substantial improvements in operational efficiency, forecast accuracy, promotional effectiveness, and overall return on investment. Key enablers include multi-dimensional data analysis, external data integration, continuous learning capabilities, and causal factor analysis. Success factors include data quality management, comprehensive change management, and phased implementation approaches. Future developments in edge computing, quantum computing, and extended reality promise to further enhance these capabilities, creating significant competitive advantages for early adopters.

World Journal of Advanced Engineering Technology and SciencesVol. 15(2)
Openalex Percentile: Top 84%
Big Data and Business Intelligence
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AI and automation in SAP CRM TPM and S4/HANA SD: Enhancing promotion planning and sales processes — Sreenu Arvapalli · World Journal of Advanced Engineering Technology and Sciences (2025) | TGRS Research Map | TGRS