The Digital Twin Question: How an Automotive Parts Manufacturer Used Bespoke Research and Strategy Advisory to Build an Honest ROI Case Before Committing to Industrial Metaverse Investment

Industrial metaverse platforms, which combine digital twin modelling, augmented reality overlays, and connected worker tools to create a persistent virtual representation of a physical plant, have generated significant vendor and media attention. The ROI claims accompanying that attention tend to be constructed from carefully selected reference deployments in ideal conditions, and they almost never account for the maturity of the specific processes the technology is meant to improve or the workforce change management cost of actually getting people to use it.

The client’s operations team had been receiving vendor pitches with headline productivity improvement figures for over a year. Leadership found the concept credible at a general level but could not build a capital approval case around numbers that bore no clear relationship to their own Czech Republic plant configurations, their existing process maturity levels, or the realistic pace at which their workforce could absorb a significant change in how maintenance and production work was performed.

Rejecting vendor projections without an alternative number left leadership in an uncomfortable position, willing to believe the technology had value but unable to say how much, or for which specific applications, or in which order investments would produce the most defensible returns.

Key Challenges

• No bespoke ROI modelling calibrated to the client’s own plant configurations and process maturity baselines, as opposed to generic industry averages.
• No independent assessment of which specific industrial metaverse use cases were most viable given the client’s current operational starting point.
• Vendor ROI projections that described favourable conditions elsewhere rather than the client’s own production environment.
• No workforce change management cost assessment incorporated into any of the ROI cases the client had been presented with.
• Leadership willing to invest but unable to build a defensible capital approval case from the numbers currently available.
• Board expectation that any capital programme of this scale be supported by independent analysis rather than vendor-originated projections.

Industrial metaverse ROI projections built from industry averages and cherry-picked case studies are structurally incapable of telling a specific manufacturer what its actual return will be, because that return depends on where the current process performance gaps are largest, how mature the existing digital infrastructure is, and how realistically the workforce can absorb the change. Independent bespoke analysis is the only way to get those numbers.