UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2311276


Registration ID:
528092

Page Number

c552-c556

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Title

Courier service recommendation system

Abstract

In today's fast-paced world, the courier service industry plays a vital role in facilitating the efficient movement of goods. With the increasing demand for reliable and timely delivery, the need for advanced technology to optimize courier service operations has never been more critical. This synopsis presents a comprehensive overview of a research project aimed at developing a Courier Service Recommendation System (CSRS) to revolutionize how courier services are managed and executed. The proposed CSRS leverages cutting-edge technologies such as machine learning, and data analytics to create a dynamic and intelligent recommendation system. The primary objective is to enhance the overall courier service experience for service providers and customers. Additionally, the CSRS incorporates customer preferences and feedback into its recommendations, creating a personalized user experience. Customers can specify delivery preferences, such as delivery time windows or preferred delivery personnel, leading to a customized and convenient service. The proposed system will have a bar plot that will help users recognize better service providers to select the best without the extra efforts of the user well as can be used in the (P2P) peer-to-peer and as well as (B2C) Business-tocustomer. For the convenience of user decisions, this system displays outcomes graphically.

Key Words

Courier Service, Recommendation System, Delivery Optimization, Time Estimation, Price Estimation, Machine Learning, Efficiency, Cost Savings, Customer Satisfaction.

Cite This Article

"Courier service recommendation system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.c552-c556, November-2023, Available :http://www.jetir.org/papers/JETIR2311276.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Courier service recommendation system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppc552-c556, November-2023, Available at : http://www.jetir.org/papers/JETIR2311276.pdf

Publication Details

Published Paper ID: JETIR2311276
Registration ID: 528092
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: c552-c556
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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