Sales Prediction System using Machine Learning
MR. AHER SHUBHAM DNYANDEV
, MS. AHIRE GAYATRI DILIP , MR. KUTE SUMEET VILAS , MS. MANDALE HARSHADA SANJAY
Support Vector Machine (SVM), K-Neighbors Regressor, XGBoost Regressor & LightGBM.
In recent years, with the continuous popularity of the Internet, the number of online shopping users in my country has reached 639 million, which contains huge commercial value. In order to maintain the prosperity, diversity and order of merchants, and fully meet consumers' one-stop shopping needs, it is necessary to analyze and predict user purchase behaviors more accurately. The traditional approach of sales and marketing goals no longer help the companies, to cope up with the pace of competitive market, as they are carried out with no insights to customers’ purchasing patterns. Major transformations can be seen in the domain of sales and marketing as a result of Machine Learning advancements. Owing to such advancements, various critical aspects such as consumers’ purchase patterns, target audience, and predicting sales for the recent years to come can be easily determined, thus helping the sales team in formulating plans for a boost in their business
"Sales Prediction System using Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.830 - 833, November-2022, Available :https://ijsdr.org/papers/IJSDR2211119.pdf
Volume 7
Issue 11,
November-2022
Pages : 830 - 833
Paper Reg. ID: IJSDR_202722
Published Paper Id: IJSDR2211119
Downloads: 000347162
Research Area: Engineering
Country: -, -, --
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
