Home Insights Case Studies Revolutionizing tire parameter recognition for a leading automotive manufacturer

Revolutionizing tire parameter recognition for a leading automotive manufacturer

Tire parameter recognition

Discover how we’ve reshaped tire recognition technology through advanced AI methodologies, leveraging deep learning visual models and seamless integration with Amazon Web Services (AWS). In collaboration with a prominent automotive industry leader, we’ve addressed the critical need for precise tire parameter recognition, enhancing both consumer experiences and in-store operations.

Key highlights:

  • Precision and reliability: Our solution offers exceptional accuracy in identifying tire parameters, facilitated by advanced AI algorithms and deep learning models. This ensures informed tire selection decisions for consumers and efficient retrieval for in-store associates.
  • AWS infrastructure: Leveraging AWS services including Amazon SageMaker, Amazon ECR, Amazon S3, and AWS Lambda, we’ve established a robust and scalable framework to support our tire recognition system, ensuring seamless performance and scalability.
  • Operational efficiency: With our solution, consumers can easily navigate tire selections via a mobile app, while in-store associates benefit from streamlined access to tire parameter information, optimizing operational workflows.

Download the case study to learn more about the technical intricacies and real-world impact of this innovative solution.

Tags

You might also like

Grid Dynamics case study cover with white sports car in neon showroom, headline “Award-winning multi-brand commerce modernization,” award callouts, and logo.
Case Study
Award–winning multi-brand automotive commerce modernization
Case Study Award–winning multi-brand automotive commerce modernization

This leading automotive aftermarket company replaced 12+ year-old legacy platforms with a composable MACH architecture that now supports the growth of its multi-brand B2B automotive parts distribution business across Europe. The automotive commerce modernization results speak for themselves:...

Transparent car design with teal and orange background. White text box shows
Case Study
Retooling for the future: A composable commerce overhaul for an automotive tools giant
Case Study Retooling for the future: A composable commerce overhaul for an automotive tools giant

Download the full case study now to explore how this tools distributor reimagined their automotive ecommerce experience for future success. By downloading, you'll gain access to exclusive insights that can help inform your own digital transformation strategies. Whether you're in the automotive i...

Laptop with floating analytics dashboards and a magnifying glass, illustrating an AI copilot boosting advisor productivity in financial services.
Case Study
Fortune 500 wealth management firm boosts advisor productivity with AI copilot and AWS reporting platform
Case Study Fortune 500 wealth management firm boosts advisor productivity with AI copilot and AWS reporting platform

A Fortune 500 wealth management firm partnered with Grid Dynamics to boost financial advisor productivity and accelerate decisions with two connected capabilities: a financial services AI copilot for rapid knowledge discovery and an AWS‑native reporting platform for fast, trusted metrics. In plain...

A 3D glowing world map with data lines and a white title card reading “How to modernize mission‑critical communications on AWS” for a Grid Dynamics case study
Case Study
How to modernize mission-critical communications on AWS
Case Study How to modernize mission-critical communications on AWS

A global leader in business and consumer credit reporting and fraud prevention services partnered with Grid Dynamics to modernize how it communicates with millions of customers in real time. Every delayed or missed customer-facing, event-triggered notification can erode trust, disrupt experiences,...

Retail case study cover showing smart shelf analytics visuals with PepsiCo branding, Grid Dynamics and Smartlook logos, and “Shelf intelligence case study” title.
Case Study
PepsiCo machine vision: Shelf intelligence case study
Case Study PepsiCo machine vision: Shelf intelligence case study

PepsiCo, one of the largest food and beverage companies in the world, takes a deeply customer-centric approach to in-store merchandising and accessibility. Producing iconic brands such as Pepsi, Lay's, and Gatorade, which are enjoyed by consumers a billion times a day, makes strategic product d...

Mattress Firm Sleep Expert smiling with an AI agent for retail sales device in her hand
Case Study
How Mattress Firm’s Sleep Experts® are championing CX with AI agents
Case Study How Mattress Firm’s Sleep Experts® are championing CX with AI agents

As the largest omnichannel mattress retailer in the U.S., Mattress Firm’s 6,000+ Sleep Experts® are trusted advisors guiding customers to better sleep across 2,200+ stores. But with product information, promotions, financing options, training materials, and operational procedures spread across...

A robotic arm examines a car wheel in a digitally connected manufacturing setting, highlighting robotics inspection systems.
Case Study
Building a next-generation AI robotic inspection platform
Case Study Building a next-generation AI robotic inspection platform

Robotics inspection systems, like the one we developed in partnership with SmartRay, address the costly and time-consuming inefficiencies related to complex robotic operations in manufacturing. With SmartRay’s AI robotic inspection platform, you can automate optimized toolpaths for inspection in mi...

Let's talk

    This field is required.
    This field is required.
    This field is required.
    By sharing my contact details, I consent to Grid Dynamics process my personal information. More details about how data is handled and how opt-out in our Terms & Conditions and Privacy Policy.
    Submitting

    Thank you!

    It is very important to be in touch with you.
    We will get back to you soon. Have a great day!

    check

    Thank you for reaching out!

    We value your time and our team will be in touch soon.

    check

    Something went wrong...

    There are possible difficulties with connection or other issues.
    Please try again after some time.

    Retry