Automotive manufacturers, whether producing components, complete vehicles, or operating within motorsport, face intensifying operational complexity, rising compliance demands, and constant pressure to innovate faster. Managing global supply chains, maintaining traceability, and adopting data-led decision-making are no longer optional, they are critical to safeguarding margins and remaining competitive.
Highly complex, multi-tier global supply chains subject to delays, disruptions, and compliance risks
Rising product complexity with customisation, variants, and short model cycles stressing legacy systems
Demand for real-time traceability of serialised and batch production from raw materials to finished product
Motorsport teams under extreme time and performance pressures, requiring instant data-driven decision support
Disconnected systems across engineering, production, and quality management slowing operational agility
Increasing regulatory scrutiny around safety, emissions, and sustainability
Failure to track components and processes risks recalls, penalties, and reputational damage
Inefficient, manual processes increase production costs and lead times
Disconnected data limits the ability to deliver predictive maintenance, downtime reduction, and operational insights
Motorsport teams unable to act on real-time data fall behind both on the track and in the factory
Legacy systems constrain supplier collaboration, production efficiency, and innovation cycles
Deploy integrated ERP, MES, and supply chain management systems supporting serialised, batch, and variant production
Enable real-time production monitoring, downtime analytics, and plant performance dashboards
Enable multi-level work breakdown structures (WBS) and real-time tracking of project cost, resource allocation, and milestone performance
Build end-to-end material, batch, and finished product traceability frameworks
Automate contract change management, variation order processing, billing, and revenue recognition workflows
Integrate simulation, telemetry, and sensor data into central analytics platforms for engineering, maintenance, and motorsport teams
Apply AI and machine learning for failure prediction, inventory optimisation, and demand sensing
Deliver real-time order, inventory, and supply chain visibility across global operations
Streamline supplier collaboration, sourcing workflows, logistics coordination, and supplier quality management to enhance operational resilience
Optimise strategic sourcing through data-driven supplier evaluation, category management, market intelligence, and competitive sourcing events to improve cost control and supplier performance
Reduced sourcing costs, improved supplier value optimisation and stronger risk resilience through optimised strategic sourcing
Improved line efficiency, asset utilisation, and reduced downtime through connected, real-time production insights
Full traceability across materials, components, and finished products safeguarding quality, compliance, and recall readiness
Faster, more agile product engineering, manufacturing, and launch cycles via integrated systems and seamless supplier collaboration
Enhanced supplier performance and compliance, reduced risks, logistics control through real-time data integration
Motorsport performance gains via live data-driven race strategy, predictive analytics, and AI-optimised vehicle setups
Lower operational costs and increased resilience by eliminating silos and leveraging offshore-supported transformation models
Broad transformation expertise spanning component, vehicle, and motorsport manufacturing operations
Proven capability in delivering integrated ERP, MES, strategic sourcing and supply chain platforms tailored to automotive complexities
Commercially focused, driven by operational outcomes, productivity gains, and cost reduction
Offshore delivery model ensuring scalable, high-quality, and competitively priced project execution for multi-country, multi-brand operations
