International Journal of Scientific Research and Engineering Development

E commerce has grown fast lately so stores need better ways to handle all the orders and customer stuff without everything getting slow. Old systems still depend on people doing the same tasks over and over which takes time and leaves buyers waiting. The system this paper describes tries to fix that by bringing in AI and machine learning to run most of the daily work. It covers order handling chatbots that answer questions inventory checks and even sending emails on their own. Recommendations based on what people buy before also get added in so things feel more personal. They built it with python flask for the main part and mysql to keep track of data while the front side uses html, css and bootstrap to keep pages looking decent on phones. The machine learning side looks at buying habits to suggest products and the automation parts take care of confirming orders updating stock and checking payments so less time gets wasted on repeats. It seems this setup helps businesses move faster and keeps customers more interested but I am not totally sure how far the tests went on bigger stores. Workflow changes really cut down the manual load and things run smoother overall though some parts of the recommendation part could probably still be tuned better.

P.Logaiyan, Rahul Kumar R,"Workflow Automation in E-Commerce Using Artificial Intelligence and Machine Learning" International Journal of Scientific Research and Engineering Development, V9(3): Page(1879-1883) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.