Sales forecasting using machine learning

Sales forecasting using machine learning

Registration ID: IJNRD_211590

Published ID: IJNRD2401051

DOI: Click Here to Get

Hitesh SM , Yukthi A

Data mining techniques, Machine Learning Algorithms, Prediction, Reliability, Sales forecasting

An Intelligent Decision Analytical System necessitates the fusion of decision analysis and predictive methodologies. Within business frameworks, reliance on a knowledge base and the ability to predict sales trends holds paramount importance. The precision of sales forecasts profoundly influences business outcomes. Leveraging data mining techniques proves highly effective in unveiling concealed insights within vast datasets, thereby amplifying the accuracy and efficiency of forecasting. This study deeply examines and analyzes transparent predictive models aimed at refining future sales predictions. Conventional forecasting systems struggle with handling extensive data, often compromising the accuracy of sales forecasts. However, these challenges can be surmounted by employing diverse data mining techniques. The paper provides a succinct analysis of sales data and forecast methodologies, elaborating on various techniques and metrics crucial for accurate sales predictions. Through comprehensive performance evaluations, a well-suited predictive model is recommended for forecasting sales trends. The findings are encapsulated, emphasizing the reliability and precision of the adopted techniques for prediction and forecasting. The research identifies the Gradient Boost Algorithm as the optimal model, demonstrating superior accuracy in forecasting future sales trends

Published Paper   E-Certificate

"Sales forecasting using machine learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 1, page no.a443-a447, January-2024, Available :https://ijnrd.org/papers/IJNRD2401051.pdf

Volume 9 Issue 1, January-2024

Pages : a443-a447

Paper Reg. ID: IJNRD_211590

Published Paper Id: IJNRD2401051

Downloads: 000121183

Research Area: Engineering

Country: Bengaluru , Karnataka , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2401051.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401051

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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