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DrivenMetrics: AI-Powered Automotive Sales Insights

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DrivenMetrics: AI-Powered Automotive Sales Insights


Aayush Shahare



Aayush Shahare "DrivenMetrics: AI-Powered Automotive Sales Insights" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.433-437, URL: https://www.ijtsrd.com/papers/ijtsrd78549.pdf

The car industry is quickly advancing, with information playing a pivotal part in driving deals methodologies and showcase choices. Driven Metrics is an AI-powered car deals investigation stage planned to upgrade decision-making by leveraging machine learning, prescient analytics, and information visualization.This framework forms huge datasets, counting verifiable deals records, advertise patterns, client inclinations, and financial components, to supply noteworthy bits of knowledge. By utilizing progressed calculations, Driven Metrics predicts future deals patterns, recognizes key execution markers (KPIs), and suggests optimized estimating techniques. It moreover offers intuitively dashboards and real-time analytics, empowering businesses to track deals execution, client socioeconomics, and request variances.The integration of AI-driven models guarantees moved forward exactness in determining and improves dealership effectiveness. This inquire about investigates the effect of AI in car deals analytics, illustrating how data-driven decision-making can lead to expanded productivity and progressed client fulfillment. Through real-time checking and shrewdly detailing, Driven Metrics engages businesses to remain competitive within the ever-changing car advertise.

AI-Driven Sales, Car Sales Analysis, AI, Predictive Analytics, Automotive Industry, Machine Learning, Customer Behaviour, Demand Forcasting.


IJTSRD78549
Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025
433-437
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)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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