
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
March-April 2025
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Sales Forecasting for Future Trends :As a Machine Learning Approach
Author(s) | Mr. MURUGESH NAVEEN S, VENKATACHALAM NR |
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Country | India |
Abstract | For companies to create well-informeddecisions about resource allocation,marketing tactics, Accurate salesforecasting is crucial for inventory control.The intricacy and unpredictability presentin contemporary markets are frequentlyoverlooked by conventional forecastingtechniques. With its sophisticatedalgorithms that can analyse big datasets,identify non-linear trends, and adapt toshifting market conditions, machinelearning (ML) has become a potent tool forovercoming these constraints. This studyexamines the use of machine learning (ML)in sales forecasting, offering a thoroughexamination of approaches, test results, andreal-world applications. Relevant insights,this study attempts to help researchers andcompanies use machine learning (ML) toimprove sales forecasting and obtain acompetitive advantage in a constantlychanging industry |
Field | Computer Applications |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-03-26 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i02.39954 |
Short DOI | https://doi.org/g892n6 |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
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