Empowering a historic automobile manufacturer to retain its legacy!

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Client Location

USA

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Client Industry

Automobile Manufacturing

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Services Provided

Cross-platform application and Warranty cost analysis tool

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Technologies Used

Python, Flask, Angular, Cloud foundry, Data Science, Machine Learning & Natural Language Processing

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Allocated Team Size

4
Engineers

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Project duration

52+ Weeks and ongoing

Client

Client Background

Since the dawn of the automobile industry, our client has been a key player in the market and is known for their high-performance yet affordable cars that changed the course of industrialization itself! 117 years have passed since they made their first car, but they are now stronger than ever, keeping the spirit of the automotive industry intact!

Requirement

With manufacturing plants across 83 locations and 21 countries, our client is on a mission to optimize their global manufacturing operations to reduce their warranty costs and claims and further elevate the quality of their products.

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Problems

Business Challenges

01.

Our client’s spending on warranty costs and claims took a hit on their treasury. With the existing market competition, streamlining the resources seemed to be a huge problem.

02.

Transcending the cultural borders proved to be a daunting task for our client, as most of the messages were lost in translation across these abstract borders.

03.

Amid the client’s draining resources, the congruency between innovation and its cost took a severe hit. Known for their out-of-the-box approach, this also took a toll on their overall image.

04.

The warranty costs alone had a huge impact on the client's resources and their product. Lack of data on the behaviour of the spare parts was the main problem.

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Methodologies

Our Process

01

Understanding the lifecycle of the spare parts

Analyzing the behaviour of the spare parts lifecycle allowed us to understand more about the warranty costs and the nature of the warranty claims.

02

Analyzing the warranty claims

Our primary goal is to analyze the warranty claims and map out the corresponding vehicle lines, the cost being claimed, and the nature of the warranty claims.

03

Identifying the space for innovation

We used ML to Identify areas of high vulnerability that could show up during warranty claims. These hotspots also opened up the space for Innovation and Improvisation.

04

Leveraging technology to innovate & cut costs

We create a framework that allows our client to introspect their product and understand the spots that could be reinforced. These improvements could be implemented in the upcoming editions of the manufacturer.

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Our Team

Team Structure

We created a diverse tech panel composed of people from different backgrounds and skill sets. The team is hand-picked based on their experience and proficiency in the latest technologies. 

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Data Analyst

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Cloud Architect

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Quality Analyst

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Backend Developer

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Projects Manager

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Front End Developer

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Tech Stack

Tools and Technologies

Results can only be driven by choosing the correct technology stack. As we have great experience in handling such Digital Transformation Solutions, we had hand picked the following tech stack to build a rock solid application that should be capable of handling big data and should also provide flexibility for easy customization in future.

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Communication Tools:
  • Slack was used for internal communication within the organization.
  • Google Meet or Zoom Meetings to interact with clients.
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Technologies
  • Backend: Python and Flask
  • Frontend: Angular
  • Cloud: Cloud foundry
  • Data Science, Machine Learning and Natural Language Processing
  • Tools: Alteryx, Qlikview, R, Jupyter, apache spark
  • Libraries: Pandas, NumPy, Matplotlib, TensorFlow, Scikit-learn, PyTorch, Scipy
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Project Management Tools
  • JIRA -Task Tracker and Sprint Plans.
  • Github- Version Control.
  • Confluence- Document Management.
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Outcome

Solutions Offered

Result

Business Impact

Betterp

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Better product build

By leveraging data, our client understood the critical pressure points in their spare parts and addressed those issues to build a better functioning product.

Reduced

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Reduced warranty expenses

After implementation, the warranty costs gradually reduced, and once massive data sets were available, our client was able to cut the warranty expenses by more than 37% globally!

Enhanced

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Enhanced brand tone

Keeping the Innovation factor fresh allows our clients to stay relevant in the market. It also had a significant impact on our client’s brand image.

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