Enterprise Sustainability & Vehicle Intelligence Platforms for a Global Luxury Automotive Brand
A multi-year GCC engagement delivering AI-driven inspections, carbon emission analytics, and regulatory platforms at scale.
Client Profile
World’s leading manufacturers of premium automobiles, headquartered in Europe, with a strong focus on innovation, sustainability, electric mobility, and regulatory excellence across global markets.
Engagement Overview
QBurst has been a strategic technology partner since 2017, supporting multiple business units spanning product prototyping, technology consulting, quality engineering, and large-scale digital transformation initiatives, with a strong emphasis on emerging technologies and regulatory compliance.
Over the years, the engagement has evolved from individual project delivery to a trusted, multi-capability partnership, enabling our client to accelerate innovation while maintaining high standards of quality, security, and compliance.
Engagement Scale & Reach
100+
Member cross-functional delivery team
25+
Active engagements running in parallel
50+
Projects delivered across domains
100%
Delivery success rate
Key Engagement Pillars
- Prototype development and design thinking for rapid innovation
- Sustainability and ESG enablement through carbon analytics and optimization
- AI/ML and advanced analytics for vehicle inspection and diagnostics
- Digital incident and regulatory management platforms
- Vehicle scanning, telematics, and diagnostics solutions
- Quality engineering, testing, and IT observability
Business Impact
- Sustainability: Carbon emissions dashboard enabling regulatory compliance and cost optimization.
- Operational Efficiency: Faster incident resolution and streamlined regulatory workflows.
- Accuracy & Automation: Vehicle identification (VIN/component) accuracy improved from 50% to 92%.
- Innovation Enablement: Support for GenAI use cases, EV initiatives, and real-time vehicle diagnostics.
Key Project Snapshots
01
Sustainability Dashboard for Carbon Emissions
Objective: Enable enterprise teams to monitor, analyze, and optimize carbon emissions across digital infrastructure while supporting compliance and financial decision-making.
Our Role
Designed and developed a comprehensive sustainability dashboard that offers real-time visibility into emissions, offset costs, and optimization opportunities.
Solution Highlights
- Real-time monitoring of carbon emissions from client portals, servers, cloud, and hosting services
- Cost estimation for carbon offsetting and impact on corporate finances
- Integration with Lighthouse reports to identify code optimization opportunities
- Interactive dashboards with detailed analytics and visualizations
- Centralized admin panel for user, project, and access management
Impact
- Improved visibility into emissions and sustainability metrics
- Data-driven decisions for carbon credit investments
- Enhanced compliance readiness and cost optimization
02
Tire Tread Depth Analysis (AI/ML)
Objective: Automate tire tread depth measurement using image analysis to improve inspection accuracy and scalability.
Our Role
Built an AI-powered mobile solution leveraging computer vision and deep learning models for precise tread depth measurement.
Solution Highlights
- Custom CNN-based depth detection using UNet and DenseNet architectures
- Multi-stage image processing to isolate tire surfaces and grooves
- High-precision monocular image depth estimation at millimeter-level accuracy
- Automated image quality validation and rejection via APIs
Impact
- Achieved ±1.5 mm accuracy on 90% of independent test images
- Enabled scalable inspection from thousands of tire images
- Reduced manual inspection effort and subjectivity