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Transform Your Business With Automotive Predictive Analysis Development

Author: Keyur Patel
by Keyur Patel
Posted: Sep 09, 2021

With smart cars becoming more and more ubiquitous, they are generating a huge amount of data to analyze. An average car will generate nearly a few terabytes of data per trip. Autonomous cars will generate 30 Terabytes of data per 8 hours. As such it is not humanly possible to shift through all of this data and derive any kind of actionable insight without the help of predictive analytics and machine learning. So most companies will use the services of Automotive Predictive Analysis IT Consulting & Development Company.

Predictive Analytics for Automobile Industry

Simply put, predictive analytics uses past trends and data to predict and analyze for future trends. For the automobile industry, data generated by the smart cars and autonomous cars can provide important and actionable data insights such as:

Deriving customer segmentation to boost sales and focus on customer retention

Using data analysis models to analyze the historical performance of marketing and sales campaigns

Usage data to optimize how the end users are using the vehicles

Deploying requisite counter measures for car troubles, faulty spare parts and other issues.

Derive insights on car issues, future improvements, and missing features for newer versions of the car

Improving distribution chain and supply systems through user data and sales data analysis.

Automakers are also combining sales insights from various locations & apps and augmenting their supply chains and dealership channels through better prediction of sales by geography and demographic characteristics.

Let’s discuss various Automotive analytics uses in detail.

Product Check & Quality Sustenance

For consistent performance and quality checks for automotive vehicles, it needs to be an ongoing process, With a large data to work with, analysts can predict future problems and mitigate them beforehand. For example there is a problem with fuel system which can be derived by analyzing the fuel usage of the car over a period of time.

Also, product recall is a major possibility for automobiles that are having manufacturing defects. Unfortunately, many manufacturing defects only become visible after the car starts getting used widely. As such constant monitoring may help in finding out such issues and avoid recalling large number of vehicles after they have been sold.

Streamlined Production Channels

In the age of globalized production chains, most major automobile manufacturers depend on suppliers and subsidiaries across the globe. As such being aware of supply chains, shipping times and local supplier issues and regulations. Analytics systems that can predict supply chain bottlenecks and opportunities before they happen can give the company the ability to plan ahead instead of merely reacting to situations and get a massive competitive edge.

More resilient and shockproof supply chains can be created with the help of deeper analytics.

READ MOREhttps://www.itpathsolutions.com/transform-your-business-with-automotive-predictive-analysis-development/

About the Author

Nishant Shah - Lead Marketing Analyst IT Path Solutions is one of the leading web and mobile app development companies.

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Author: Keyur Patel

Keyur Patel

Member since: Jun 10, 2021
Published articles: 36

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