PARTGAP
PartGap identifies article relationships that other systems miss, surfaces assortment gaps and makes cross-references reliable – so customers find the right part faster and mispurchases go down.
As an additional data layer, PartGap complements established standards such as TecDoc and GenArt. It replaces nothing – it closes the mapping gaps that existing systems leave open.
Fewer returns, stronger platform and catalogue data and a clear basis for assortment and prioritisation – without replacing the standards you already use.
Results from a real demo case (tie rod end product group): thousands of articles reviewed, verified cross-references created and concrete assortment gaps surfaced. We're happy to share further figures and a live example in a personal conversation.
In the Independent Aftermarket (IAM), cross-references are a key driver of parts identification, catalogue quality, market transparency and commercial performance. When OE numbers, IAM articles, replacements and manufacturer information don't come together cleanly, the result is incorrect mappings, returns and unnecessary effort.
Manual maintenance, rigid rules and historically grown data models quickly reach their limits with large volumes of data – especially where discoverability, marketing and data quality suffer. This is exactly the gap PartGap closes: reliable mappings where existing systems stop.
PartGap makes visible which mappings hold up, where assortment gaps lie and which cross-references should be reviewed. Scattered individual data becomes a clear basis for prioritisation, assortment development and marketing.
Product managers and teams who maintain cross-reference lists by hand today are noticeably relieved: PartGap reliably shows where results hold and where a closer look pays off – so effort lands where the benefit is greatest.
Reliable relationships between OE numbers, IAM articles and relevant alternatives – for better parts logic and higher data quality.
Verified crossings and replacements, so data isn't just present but checked and usable in day-to-day business.
PartGap shows which mappings are verified and where a review is needed – so manual work can be noticeably reduced.
PartGap is more than better mapping. Cleanly structured article and cross-reference data open up new ways to position your own assortment and steer the maintenance of cross-reference lists more precisely.
When article relationships, OE references, replacements and IAM mappings are reliably in place, it becomes visible where your portfolio is strong and where potential still lies.
A particularly powerful lever: identify gaps in your own assortment or cross-reference lists early and thereby strengthen platform data and assortment quality in a targeted way.
Parts mapping becomes an instrument for market transparency, assortment development, better marketing and intelligent prioritisation. This is exactly where PartGap comes in: with automotive understanding, data expertise and a clear sense of how such information becomes genuinely usable in practice.
Building on PartGap, a solution specifically for dismantlers is currently taking shape: it matches removed vehicle parts reliably to OE numbers and the right mappings – for faster listing and better resale on used-parts platforms.
Interested in early access? Get in touch – we'll let you know as soon as it launches.
PartGap finds the right part on the first click – reliable, scalable and complementing the standards you already use.
