Predictive Valuation Techniques: Integrating Vehicle Data with VehicleLogix

Sanket. G. Karole; Prof. Usha Kosarkar; Prathmesh. S. Mandavkar

Title:
Predictive Valuation Techniques: Integrating Vehicle Data with VehicleLogix

Authors:
Prathmesh. S. Mandavkar | Sanket. G. Karole | Prof. Usha Kosarkar

Cite This Article :

Prathmesh. S. Mandavkar | Sanket. G. Karole | Prof. Usha Kosarkar "Predictive Valuation Techniques: Integrating Vehicle Data with VehicleLogix" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies, January 2025, pp.286-287, URL: https://www.ijtsrd.com/papers/ijtsrd74967.pdf

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Abstract :
The rapid advancements in vehicular technology and data analytics have provided a new avenue for predictive valuation, enabling smarter decision-making processes in vehicle management, resale, and maintenance. VehicleLogix, a sophisticated data integration platform, leverages real-time vehicular data and predictive algorithms to enhance valuation accuracy. This research investigates the integration of predictive valuation techniques with VehicleLogix, emphasizing the role of big data, machine learning, and IoT in transforming traditional valuation models. The study showcases the potential for improved transparency, reduced errors, and enhanced profitability in the automotive industry. Additionally, the paper examines the challenges and solutions for ensuring scalability and security in predictive systems while addressing future trends in valuation.

Keywords :
Predictive Valuation, VehicleLogix, IoT, Big Data, Machine Learning, Automotive Industry, Scalability, Security

Publication Details:

Unique Identification Number : IJTSRD74967

Published In : Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies, January 2025

Page Number(s) : 286-287

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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