Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{173291,
        author = {Jil P. Bhatti and Janak H. Maru and Devangi R. Paneri},
        title = {A Review on Sales Forecasting Using Machine Learning Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {2761-2764},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173291},
        abstract = {In many different industries, sales forecasting is essential for firms to plan production, optimize inventories, and increase overall productivity. Ten research papers concentrating on various approaches for sales prediction are compared in this review paper. The report outlines the approaches taken, important conclusions, and accuracy comparisons between various algorithms.},
        keywords = {Machine Learning, Sales, Sales Forecasting, Deep Learning, Retail Sales.},
        month = {February},
        }