Why AI adoption is moving faster than the fitment data,
integrations, and production controls required to create value.
pages of evidence, findings, and
diagnostics
named primary sources with stated
limitations
checks one parts order must pass before the answer is dependable
evidence questions for your next AI
review meeting
The report reviews automotive research, official UK and EU business statistics, current commerce protocols and data standards, and Net Solutions field evidence. Three findings stand out.
Among respondents to 2026 BCG and MEMA commercial-vehicle aftermarket research, 70% had some AI in place and 14% said it was generating business value.
In the combined UK wholesale, retail, and motor-trade sector, 20.5% of businesses reported using at least one AI technology, and most adopters relied on free or purchased software rather than in-house builds.
New commerce protocols connect AI surfaces to merchant systems. They still depend on fitment, live availability, pricing rules, permissions, and a merchant-controlled transaction path.
Nine checks behind one correct parts order, each with its system of record and its recognizable failure.
Four layers from AI discoverability to enterprise action, with the production controls that cut across them.
Seven questions phrased as requests for records, not confidence.
From workflow selection to limited production, scaled on evidence.
Every figure traced to a named source, with denominators preserved and limitations stated.
A phased headless Adobe Commerce rebuild with connected content, fitment search, fulfillment, and data foundations.
Annual revenue increase after the overhaul
Average Order Value increased
Average Order Volume increased
The report also covers the Euro Car Parts platform rebuild. Client outcomes are field evidence, not market statistics.
The assessment examines discoverability, knowledge foundations, interaction, and action readiness against your actual product data, commerce systems, integrations, and operating controls. It returns a prioritized view of what to fix first.
Ask Sol anything about digital products, AI, engineering, or growth, and get answers drawn from years of Net Solutions thinking and experience.