How much does the digitalization of training and maintenance yield?

Doing nothing has a cost. It does not show up on any dashboard, but it weighs on the margin: vacant positions due to a lack of trained operators, unanticipated production stoppages, rejected parts after inspection. The real risk is continuing to pay, without seeing it, the price of inaction.

Industrial management committees all ask the same question: what ROI to expect from workshop digitalization, on training, maintenance, or quality control? The honest answer can be summed up in one sentence: it depends on the chosen use case, its volume, and its criticality. This article provides orders of magnitude, not firm promises. The precise estimation is built during the framing, with the indicators specific to each site.

The market is advancing, the industry is still hesitating

According to a Bpifrance/OpinionWay study relayed by businessornot.fr, 82% of French SMEs plan a significant investment in digital by 2026. The average budget reaches 75,000 euros, compared to 34,000 euros two years earlier. Artificial intelligence captures 42% of these investments.

The movement is general. The industry is lagging behind. Websites, commercial tools, and administrative automation absorb most of the budgets mentioned by Bpifrance; training, maintenance, and quality control remain, for many factories, a postponed project. It is precisely on this postponed project that the ROI of workshop digitalization is calculated: fewer budgets are already committed there, so fewer competitors have already taken a position.

This situation opens a decision window. Industrial leaders who take a position early on these three aspects establish themselves before the topic becomes a standard imposed by a client, an insurer, or an industry standard. Waiting has a cost: that of poor quality, poorly managed turnover, and unplanned downtime, which continues to accrue with or without a decision.

Why does mixed reality show a more readable ROI than other digital investments?

A website or a CRM improves the company's performance in a diffuse way. It is difficult to isolate, in the revenue, the portion that belongs to the new tool rather than to the sales team or the economic situation.

Mixed reality targets a narrower scope. Each use case aims at an identifiable action or procedure: training an operator on an assembly sequence, guiding a technician during an intervention, comparing a part to its dimensional tolerance. The before and after are measured on the same indicator: training time, intervention cost, scrap rate.

The calculation of ROI becomes more straightforward on these three aspects than on the majority of digital projects. The scope is narrowed. The metric already exists in the company's systems: CMMS, LMS, quality tracking dashboard. The change in method touches a specific point of the process, allowing for a comparison of before and after without isolating the effect of a dozen external variables.

Training ROI: the cost of a vacant position, compared to the time saved.

On the use cases of immersive training deployed by Myxed, the time to competency decreases by an average of 60%, for reference. A sequence that took three weeks in traditional tutoring is reduced to a few days of guided simulation.

This gain is comparable to the cost of an unproductive or vacant position: slowed production, tutoring that requires an experienced operator, risk of error during the learning phase. For a task repeated several times a month, or in a high turnover position, the time gap translates into recovered production hours.

For illustration: a site that trains ten new operators per year in a position with three weeks of tutoring immobilizes, each year, the equivalent of several months of production at a reduced rate. Reducing this timeframe to a few days does not eliminate the need for training. It reduces the period during which the operator works below their target pace, and frees up the experienced tutor's time for other tasks.

Maintenance ROI: a return in 3 to 12 months on high-stakes equipment

Predictive maintenance and remote guidance offer, according to several industry feedback compiled by wikiot.fr, a positive return on investment between 3 and 12 months on critical equipment. A pilot can start with a budget of 3,000 to 10,000 euros. Bosch, which is deploying its connected maintenance software Nexeed in about 150 of its factories, announces a reduction in its maintenance costs of up to 25%.

The same feedback mentions average savings of 20 to 30% on direct maintenance costs, and a reduction in unplanned downtime of up to 30 to 60% when the company deploys and monitors the IIoT or remote assistance system over time. These orders of magnitude vary according to the criticality of the equipment and the maturity of the data already collected on site.

The remote guidance adds a second lever, more immediate: each avoided expert trip represents a direct cost (transport, intervention delay, line downtime) that can be quantified from the first intervention. A junior technician guided via videoconference by an expert, with direct annotation on the machine, often resolves a malfunction in one session that, without this guidance, would have required sending a specialist on-site.

Quality ROI: what the cost of non-quality already is

According to a Afnor study from December 2023, 80% of industrial companies place their cost of non-quality between 0 and 5% of their revenue — but only 67% actually measure it, while 91% of decision-makers consider this measurement necessary. Scrap, rework, customer complaints, immobilization of non-compliant batches: the bill already exists. It remains largely invisible due to a lack of precise case tracking.

Hands-free guided inspection standardizes control: it imposes the same order and tolerance at each step, regardless of the operator on duty. The gain is reflected in the scrap rate and in the number of non-conformities detected before shipment rather than after.

The benefit exceeds just the cost of the scrapped part. A non-conformity detected at the end of the line costs less than a customer return, a failed supplier audit, or a batch immobilization awaiting inspection. In this regard, the ROI is reflected as much in risk reduction as in direct savings.

ROI depends on the use case, not the technology

A rare gesture with no security stakes does not justify the same investment as a critical gesture repeated several times a day. Digitizing a procedure performed twice a year, with no associated risk, does not produce measurable short-term returns.

The initial framing is not limited to choosing a technology. It serves to prioritize: identifying high-volume gestures, high-stakes gestures, or gestures with high variability between operators. This is where the before/after gap will be most visible, and the ROI calculation the strongest.

Two sites can have the same technology and a very different ROI, depending on whether the priority was on a real bottleneck or a secondary task. Choosing the gesture and the position to address first remains the real question of framing.

The Myxed method to secure the calculation before investing at scale

Before any deployment, Myxed follows a four-step method. It validates the expected ROI on a limited scope before committing a full budget.

• Frame — identify high-stakes use cases and reference indicators (training time, intervention cost, scrap rate) before any development.
• Prototype — test a limited scenario, measure the before/after gap in the field, adjust before going further.
• Build — develop the final application once the use case is validated, integrated with existing systems (CMMS, LMS, MES).
• Deploy — extend usage, position by position or site by site, with monitoring of the same indicators to confirm ROI at scale.