Open Access
Research Paper
Peer Reviewed

Paper Title

E-COMMERCE WEBSITE WITH CHATBOT, SALES ANALYSIS AND PRICE OPTIMIZATION

Article Identifiers

Registration ID: IJNRD_191312

Published ID: IJNRD2304279

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Keywords

Demand Forecasting, price prediction, Neural Network Algorithm

Abstract

It is critical in today's rapidly changing business environment to be able to respond to clients' needs in the most efficient and timely manner possible. Online Shopping is a lifestyle e-commerce web application that sells a variety of fashion and lifestyle products if your customers want to see your business online and have instant access to your products or services (currently menswear). This project allows users to view various available products and allows registered users to instantly purchase desired products and place orders using an instant payment processor. This project allows administrators and managers to easily view orders placed. To create an e-commerce website, a number of technologies must be studied and understood. A few features of the proposed system include product demand forecasting, which allows administrators or owners to forecast product demand and make decisions based on it. The following feature is price prediction, in which the admin can pass some parameters to the model and the model can predict the price to set. Following that, we construct a chatbot based on a neural network to aid in the resolution of the user's query. The proposed system aims to create an appropriate neural network algorithm that can be used to forecast demand for outgoing distributed products, and then to evaluate the performance of the chosen algorithms by conducting an experiment to investigate the possibility of using long-term forecasts in transportation planning. Price prediction is included in the proposed system.

How To Cite (APA)

Shreyas Joshi, Kunal Gupta, Isha Pardikar, & Kadu Avishkar (April-2023). E-COMMERCE WEBSITE WITH CHATBOT, SALES ANALYSIS AND PRICE OPTIMIZATION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), c607-c610. https://ijnrd.org/papers/IJNRD2304279.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_191312

Published Paper Id: IJNRD2304279

Downloads: 000122253

Research Area: Engineering

Author Type: Indian Author

Country: Panvel, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304279.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304279

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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Call For Paper

Call For Paper - Volume 10 | Issue 12 | December 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

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Paper Submission Open For: December 2025

Current Issue: Volume 10 | Issue 12 | December 2025

Impact Factor: 8.76

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