Automotive Analytics

What is Automotive Analytics & its challenges?

  • In an Automation Industry, there are an excessive number of shaky difficulties. In Automation Analytics , there can be different modes or techniques for an answer. It adds to the issue and answers so the opportunity of revulsion has happened. Over 30% of the asset thought of digitalisation innovation in an overview on vehicles' creation. Computerization Analytics on the development of buyer's online information can give mindfulness for individualized, directed advancements.
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    Case Study 1: Know on how Innovation is achieved using Sentiment Analytics
    Business Problem Statement

    In this age of Internet, the customers are not shying-out to give the feedback on the products they are/have been using. The comments on the product/service is critical to the company to fine-tune/automate it. Often, companies are facing huge challenge in drawing insights from the feedback provided by the customers. This would sometimes result in the decline of image of the product/service.

    Business Challenges

    • Unable to determine the sudden negative shift in the brand perception among the customers
    • Difficulty in finding accurate feedback from customers
    • Sub-standard features included in the routine upgrades to products/services in order to keep up with the competition

    Business Solutions

    • Text mining & Sentiment analysis performed on social media to reveal accurate brand image & brand perception (increase / decrease)
    • Natural Language Processing performed on the web data generated by customers to determine on whether the reviews are provided in the true context or sarcastic
    • Identifying the right forums where the discussions about the companies products/services are happening & thereby interact & respond with specific customers
    • Devising the job description for recruiting staff based on what customers require based on social media & other web data

    Business Impact

    • Product/Service enhancements made in-line with customer demands
    • Quick response to customers frequently asked queries & providing proactive solutions to the issues
    • Increased customer satisfaction leading to improved brand building
    • Maintaining the market share, thereby becoming profitable
    • Platform to perform competitor analysis

    Case Study 2: How to predict vehicle maintenance based on usage of vehicle & health parameters of its components
    Business Problem Statement

    Goods transportation is the lifeline of an Automotive sector . Four wheelers which are used for transportation have the tendency to break-down due to the exceeding loads beyond a threshold, frequent long journeys without breaks, pathetic conditions of the roads, utilization of the vehicle beyond its life, etc. Such breakdowns during the transportation of goods create dent in the brand image of the company & reduced customer satisfaction levels, among others.

    Business Challenges

    • Increase in the number of vehicle breakdowns while in use
    • Increase in the number of roadside assistance requests spiraling the warranty costs
    • Customers dissatisfaction due to vehicle breakdown or failure of parts during journey
    • Static servicing date alerts leading to redundant maintenance of vehicles
    • Unavailability of failed vehicle components due to improper supply-chain management
    • Increase in number of warranty & insurance claims

    Business Solutions

    • ‘Internet of Things’ devices installed on vehicles that capture live-streamed data of 196 components, thereby making live health monitoring possible
    • Automotive telematics solution and Mobile app were developed to gauge the performance of the vehicle
    • Vehicle breakdown prediction model was built to predict the vehicle’s probable breakdown time
    • Predicting critical vehicle component failure leading to reduced service time, better inventory management & streamlining the supply chain process

    Business Impact

    • Reduction in number of vehicle breakdowns by preemptive maintenance alerts rather than static time bound alerts
    • Reduction in number of warranty claims
    • Reduction in number of insurance claims
    • Reduction in inventory cost
    • Improvement in turn-around time for replacing failed/’will soon fail’ components
    • Increased customer satisfaction leading to improved brand building
    • Increased fuel efficiency leading to environment-friendly transportation

    Case Study 3: How to achieve Network Optimization
    Business Problem Statement

    Often, many of the transport companies a huge challenge in optimising the routing. There are many factors which influence the routing, such as the volume of crowd, infrastructure on the route, occupancy of the transportation vehicles, duplicacy in routing, peak hours, security etc. Weak routing will dent the revenues of the company, resulting in bankruptcy.

    Business Challenges

    • Under-utilization of public transportation services
    • Increase in number of unwanted trips of services
    • Delay in trips due to rush hours resulting in public dissatisfaction
    • Access to all areas is not possible due to road conditions
    • Lack of safety and security in public transportation

    Business Solutions

    • Applied network analysis on routes and traffic to identify effective routes to optimize trip timings
    • Performed data simulation with what-if analysis for effective management of driver/staff
    • Measures of centrality used to identify the most cost effective route by connecting airports, Railways to maximize the passenger volumes

    Business Impact

    • Increase in passenger volumes
    • Effective management of trip timings in rush hours
    • Effective Trip management based on Flight and Train timings
    • Increase in public satisfaction thereby increase in usage of public transportation

    Case Study 4: How to classify the component failure cause
    Business Problem Statement

    In the current market dynamics, to remain an effective player, the organizations should be in-line with current & advanced trends. Automations with improved quality of the product will keep the customers intact with the current competitive atmosphere. It is hard for the companies to detect the root cause of component failure. It is equally hard to take quick decisions as to whether a failed component is under warranty.

    Business Challenges

    • Increase in time consumption in analyzing and identifying the exact root cause for the component failure
    • Quick decision to be taken whether failure cause of the component is under warranty
    • Understand failure patterns of the components
    • Deep understanding on dependency of various components failures
    • Clues on component design changes

    Business Solutions

    • Built tree based method to classify the root causes for a failure component
    • Statistical analysis performed on Diagnostic codes, Damage codes and other data collected from vehicle
    • Built associations of the root cause with failures of components
    • Deep insights on the data which enables business to understand failure patterns

    Business Impact

    • Reduction in time to analyze the root cause failure
    • Elimination of the manual layer in the process
    • Understanding of association between failures that improvise the design of the component
    • Greater customer experience

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