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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Sales Prediction System using Machine Learning |
| Authors Name: | MR. AHER SHUBHAM DNYANDEV , MS. AHIRE GAYATRI DILIP , MR. KUTE SUMEET VILAS , MS. MANDALE HARSHADA SANJAY |
| Unique Id: | IJSDR2211119 |
| Published In: | Volume 7 Issue 11, November-2022 |
| Abstract: | 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 |
| Keywords: | Support Vector Machine (SVM), K-Neighbors Regressor, XGBoost Regressor & LightGBM. |
| Cite Article: | "Sales Prediction System using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.830 - 833, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211119.pdf |
| Downloads: | 000337078 |
| Publication Details: | Published Paper ID: IJSDR2211119 Registration ID:202722 Published In: Volume 7 Issue 11, November-2022 DOI (Digital Object Identifier): Page No: 830 - 833 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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