Haritha, RRHarithaJagat Pradip Das2026-05-092026-05-092026-01https://gnanaganga.alliance.edu.in/handle/123456789/10765Demand forecasting is a critical function that supports planning, procurement, inventory management, and overall supply chain efficiency. As markets become increasingly uncertain, organizations rely on forecasting tools to interpret historical trends and anticipate future demand. Over time, forecasting practices have shifted from basic spreadsheet-based methods to advanced commercial tools such as SAP Integrated Business Planning (SAP IBP), Oracle Demand Management Cloud (Oracle DMC), and other analytical platforms. However, the actual adoption, usability, and effectiveness of these tools vary across industries due to differences in data quality, workforce capability, and organizational readiness. This dissertation provides a critical review of commercially available forecasting tools using authentic primary data collected across FMCG, Retail, Education, Logistics, and related sectors. The study focuses on understanding which tools are commonly used, how frequently they are applied, and what challenges practitioners face during forecasting activities. Based on the collected dataset, Microsoft Excel, SAP IBP, and Oracle DMC emerged as the most widely used tools and were evaluated in detail. The findings show that Excel remains the most preferred tool due to its simplicity and accessibility, while SAP IBP and Oracle DMC offer structured planning, automation, and better integration with enterprise systems. Respondents also reported challenges such as tool navigation difficulties, data inconsistencies, and limited user training. The study concludes that tool effectiveness depends not only on technological features but also on user competence, data discipline, and organizational support. Recommendations are provided to improve forecasting accuracy and enhance tool usability.enSAP IBPForecasting Toolstext::report