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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: | Study for the Prediction of E-Commerce Business Market Growth Using Machine Learning Algorithm |
| Authors Name: | Naved Nawab Kalal , Sameer Dhanawale , Rohit Ghadge , Kulwantsinh Nimbalkar , Madhuri Gawali |
| Unique Id: | IJSDR2305299 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | Knowledge is a key to perform ideas adequately. Machine Learning empowers IT associations to identify the patterns on the base of presently available algorithms and data frames to cultivate respectable result generalities. Online business request and customer retention is a relation like the two sides of a coin. It's a nonlinear relationship. prophecy of Business growth is a truly sensitive issue of E- Commerce request with its future actuality. Online dealers of business request manage their inventories on virtual prophecy bases for full filling the introductory need of demand- force chain of guests. Authorizing traditional ways and analysis styles are not icing the rate of responsibility of the deals prophecy . To produce more precise prognostications and analysis, we use ML algorithm. In this paper, we employed the selling data set of an E-commerce company and isolated it, in different diggings also calculating the trade income per quarter. After that we divided the dataset in the proportion of 70 and 30 for Training data set and Testing data set. By applying machine knowledge algorithm, we will be predicting income of coming diggings as well as analysis the maximally sold goods with their frequency of purchase per quarter. also give analysis results and prophecy of customer’s purchase patterns to the business association to make a strategy to take a competitive advantage by sustaining and accumulating for their goods operation and planning for inventories. |
| Keywords: | QoS, Machine- commerce, Inventory, prophecy , guests Retention |
| Cite Article: | "Study for the Prediction of E-Commerce Business Market Growth Using Machine Learning Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1885 - 1887, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305299.pdf |
| Downloads: | 000337209 |
| Publication Details: | Published Paper ID: IJSDR2305299 Registration ID:206694 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 1885 - 1887 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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