QR_ for automotive

Engineering resource is scarce. How much time do yours spend on value-add tasks?

Expensive talent spending 30% of time locating and administering data is inefficient and demotivating. QR_ data pros empower engineering teams to add value where it counts.

The cost of bad data

21%

of engineering time is lost to product data management inefficiency.

Not a technology problem. A process and people one. And the one QR_ exists to solve.

What that 21% looks like recovered

AutomotiveUnblock engineering releases to prevent 2-3 months further slippage for an already late program, avoiding associated cost, revenue and reputational implications.“It's great to see this information so clearly, so we can build with next steps!”Advanced Manufacturing Director, sports and supercar OEM
AutomotiveImproving part availability on MRD for a 480-vehicle prototype fleet to avoid costly testing, tooling, supply chain, and manufacturing delays.“This whole build event wouldn't be possible without QR_!”Program Manager, large OEM
AutomotiveMaintain BoM completeness and accuracy between design release and initial build to avoid £40m per day cost of unplanned launch delays.“An unplanned launch delay costs £40 million per day.”Senior program stakeholder, large OEM
AutomotiveSupport an EV start-up define and develop a detailed business process roadmap and associated PDM approach to bring a brand-new truck into series production in under two years.“Whoever did this is amazing. This is really impressive!”Head of PDM, electric truck start-up
AutomotiveCentralize planning, input, quality assurance and release of product data to facilitate a global OEM's engineers spend more than the existing 40 percent of their time engineering.“The QR team has been absolutely pivotal in making this happen.”Body Interior program lead, global OEM
AutomotiveRectify multi-entity ERP implementation grossly exceeding original budget and timeline with no value-add outputs by re-scoping, selecting and implementing more suitable ERP.“We've gone twice as fast for less than half the projected cost... and now have a functioning ERP! Impressive work for a team of four.”Key stakeholder, electrified HGV start-up
AutomotiveRestore and maintain confidence in EBoM and MboM accuracy in the face of rapidly changing processes, ensuring part maturity visible, parts releasable, and vehicle configuration correct.“We now have visibility of the vehicle-level DVP&R, we can trust the data, and view it all in the way we need to.”Chief Engineer, EV scale-up
AutomotiveReporting dashboard for live uptime centre.“You have really helped us get clarity around our complex requirements and helped us put a framework in place.”Uptime Centre Manager, global OEM
AutomotiveEnhance the granularity and usability of dashboards used by an EV start-up to report out vehicle requirements.“You have really helped us get clarity around our complex requirements so everyone knows exactly what we're talking about and how that fits into the big picture.”Key stakeholder, EV start-up

What we do

Systems engineering

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Mechanical and materials

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Embedded software

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Quality assurance

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Manufacturing and industrialisation

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Master product data

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Prototype build and launch

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Production, service, and maintenance

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Enterprise lifecycle transformation

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Operational performance improvement

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Spotlight #2

The hidden factory, in two parts.

Engineering teams lose up to 30% of their hours to non-productive data work: searching, validating, recreating information that should already be trusted. That's the hidden factory: a silent drain on margin, launch confidence, and innovation capacity. Done right, data quality becomes a financial lever rather than an overhead. Here's the case, and the playbook.

Part 1 →Part 2 →

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