Automotive

  • Biggest Change of the Century

    EV Disruption

    Overview

    Internal Combustion Engines will be a thing of past in next 10-20 years. Environment concerns and Battery Tech that works is here!

  • Own or Hire Dilemma

    UBER Effect

    Overview

    As App enabled Taxi's are becoming prevalent, cost effective and City Traffic tiring, a sizeable population is moving to not owning vehicles.

  • New Features Every Year

    Innovation

    Overview

    Consumers expect new Features, Design & Facelifts Every Year. Product Mix, R&D, Production and Sales Management is complex.

    INDUSTRY CHALLENGES & SOLUTIONS

    Accurate Reliable Predicitons

    Challenges of Prediction

    Product Lifecycle Events (Launches, Facelifts, Decommissioning), Competitor Events, Promotions, Emission Norm Pressures, Technical Advancements make the job of DEMAND PREDICTION difficult.

    In a Competitive Environment Pricing of Automobile (and model variants), Spares and Services and Managing Promotions, Partner Product Bundling (Insurance, Value added services) requires segment study and judgement of perceived value of features.

    Disruptions are a given and more so in Automotive Industry. How market players, technological, environmental, Input cost factors will play out, is extremely important for survival. Case in point is 1st generation Entrepreneurs are giving old timers a run for their money (and actually winning).

    When Designing the product, 100’s of features are available on drawing board. Which combination makes best sense for target segment and balances the cost and engineering/production effort is a Million Dollar Question.

    Equipment OEM Maintenance Schedule could be off significantly on either side, each raising question of Cost, Production losses or Risk. Operating Conditions can truly determine the right time frame of Preventive Maintenance of critical Equipments.

    Capacity (production, storage, logistics) comes at high investment. Managing it well wit varying demand and seasonality can yield significant benefits.

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    Science of PREDICTION

    Forecasting, Risk Assessment, Pattern Study, Segmentation, Value Based Pricing, Price Elasticity, Predictive Maintenance.

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    Optimal decisions

    Challenges of Decision Making

    Raw Material availability, Production Operations Rules, Maintenance Interruptions, Logistics Dependencies… With so many factors affecting fulfillment of Demand, it would take better Planning and Orchestration.

    Large number of SKU’s, impact production campaigns and productivity. It also creates inventory /working capital burden and administrative hassles. Yet having a sizeable product mix is required from market presence standpoint. Deal with these complexities with Decision Support Systems.

    Lot of moving parts between, Processes, People, Systems etc. Right Planning, Orchestration, Resource Deployment, Monitoring required to achieve the desired results. Productivity achieved in one process in isolation may be nullified by its impact elsewhere.

    Automotive sector by design deals with huge inventory management challenge. Balance between Inventory Management and customer service is difficult.

    Countering competition, planning promotions needs objectivity of market share, revenue and profit. Promotions could result in loss of expensive marketing dollars without resulting in revenue or profit improvement.

    Capacity (production, storage, logistics) comes at high investment. Managing it well with varying demand and seasonality can yield significant benefits.

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    ---------------TARGETED SOLUTION

    Decision Support System

    Supply Chain Planning, Scheduling, Simulation, Line Balancing, Inventory Optimization, What-if Scenario Study, Revenue Optimization- Dynamic Pricing.

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    Efficient Execution

    Challenges of Execution

    Sampling based quality management, SOP’s not followed, Shift Operator availability & skill issues affects Quality management. Compliment your quality assurance process with computer vision, sensor based data gathering and machine learning/AI model based assistance.

    Automation with high precision execution is desirable. And now it is possible with complex identification, segregation or multi-step workflow tasks with help of sensor (IoT field devices) and ML/AI models.

    Risk perception by humans have limitation of information that they can work with. There is a lot of unstructured data, news feed, chats, emails, consumer complaint blogs that cannot be consumed by humans. But ML algorithms can assess risk and change in preferences accurately.

    Consumer mind space needs some prodding (depending on your product line). Above the line and below the line advertisement aren’t half as effective as it is at the point (place & time) of consumption. Recommendation engine, identifying consumer preferences from pattern is a great way of boosting revenue.

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    ---------------TARGETED SOLUTION

    Machine Learning & Artificial Intelligence

    Defect Identification, Comprehensive Quality Testing, Automation of Tasks, Sentiment Analysis (Consumer), Early Indicators and Risk Assessment.

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    WHAT'S NEW?

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    Automotive Industry is undergoing an unprecedented change.
    Electric Vehicles, Emissions Control, UBER like on call Transport are just few of the big changes.

    Industry 4.0

    A Comprehensive view of Industry solutions ranging from Enterprise Decision making to field or shop floor control systems. The guidelines and standards are aimed at seamless Interaction between hardware and software solutions for all vendors.

    Digital Twins

    Each complex process when abstracted digitally can help you build insights, run scenario’s without affecting resources or customers adversely. In real time operations it provides visibility to all stakeholders. Be it warehouse operations using AR/VR or equipment maintenance digital twins provides unparalleled situational awareness and assistance to even a novice.

     

    Connected & Self Driving Cars

    Autonomous self driving cars is like a silver screen movie playing in front of you.

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