Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
E-commerce is a type of business that involves buying and selling services and goods over the Internet. It has many advantages, such as lower transaction costs. When it comes to calculating transaction costs, offline retailers have to take into account various factors such as the number of transactions and business expenses. The cost per transaction is higher if fewer transactions are made. On the other hand, if large numbers of transactions are made, this can overwhelm the distributors and staff members of an e-commerce business. E-commerce eliminates the need for manual processing that can lead to errors E-commerce can improve the buying/selling process. Communication takes place very quickly if the business is done over the Internet. Both buyers and sellers benefit from e-commerce. After experiencing all the problems and flaws of the offline shopping system, Designing an E-commerce web application is essential for exploring and shopping in any store. Nowadays we have seen so many e-commerce websites like Flipkart, Amazon, and Myntra being created through which one can effortlessly buy the desired things using these websites. With these types of websites, it is possible to shop for their products from the comfort of your home.
Keywords:
e-commerce, transactions, retailers, distributors, web application.
Cite Article:
"E- COMMERCE WEB APPLICATION USING MACHINE LEARNING ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 11, page no.230 - 233, November-2022, Available :http://www.ijrti.org/papers/IJRTI2211038.pdf
Downloads:
000205101
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator