Moving Forward Without Perfect Aftermarket Data
In a recent article, our Managing Director (Christa Bemis) shared a perspective we have seen play out over and over again across equipment manufacturers:
👉 Your service teams can’t wait for your aftermarket data to be perfect.
The response to that article reinforced something that’s been true for a long time - most organizations already know their data isn’t perfect. What they struggle with is how to move forward responsibly without creating risk or chaos.
The core idea is simple:
- Perfect aftermarket data does not exist
- Waiting for it delays progress
- Data improves when it is put into use
Most manufacturers agree with these points.
Where things break down is in execution.
The Cost of Waiting for Perfect Data
Waiting for perfect aftermarket data is not a neutral decision. It has real business impact.
When parts and service information is not accessible:
- Parts identification takes longer, delaying orders and increasing the risk of incorrect purchases
- Service teams spend more time troubleshooting and tracking down information instead of completing work
- Customers experience longer equipment downtime, which directly impacts their operations
- Dealers and distributors look for easier alternatives - including third-party suppliers and the gray market
- Opportunities for inspections, upgrades, and additional service work are missed
We are increasingly seeing new equipment buying decisions influenced by this as well.
Manufacturers that make it difficult to find parts, access documentation, or support equipment post-sale are losing business to those that make it easier.
In many cases, the cost of not providing access to imperfect data is higher than the risk of making that data available in a controlled, responsible way.
What It Actually Takes to Move Forward
Making progress without perfect data is not about lowering standards. It requires the right systems and processes to make information usable, improve it over time, and manage risk along the way.
Here are ways manufacturers are differentiating themselves by getting what they have out there and improving over time:
(1) Make Existing Data Usable—Faster
The first barrier is not perfection - it is accessibility.
Most organizations already have large amounts of parts and service information, but it exists across PDFs, legacy systems, and inconsistent formats. Turning that into something usable often becomes the multi-year effort that delays everything else.
Documoto helps manufacturers move past that initial barrier by supporting bulk data imports, structured data migrations, and conversion of static documents into interactive parts manuals. As part of onboarding, AI-assisted data extraction and cleansing can also be applied to accelerate the process of making legacy information usable. Learn more on our Professional Services page here: Documoto Professional Services
The goal is not to perfect the data before it is used - it is to make it usable quickly so it can begin improving.
(2) Improve Data at Scale, Not One Document at a Time
One of the biggest challenges with imperfect data is consistency.
When the same part or assembly appears across hundreds or thousands of documents, errors are repeated and difficult to correct everywhere they exist. There are also inconsistencies in the way parts information is presented across product lines and years.
Documoto is built on a relational data model, where parts, assemblies, and documents are reused across the system. This allows manufacturers to make a single update or correction and have it reflected everywhere that data appears, creating a consistent user experience across all content.
Instead of updating information manually across documents, improvements scale across the entire content set. This is also what makes continuous data improvement realistic over time.
(3) Capture Feedback from the Field
As highlighted in the original article, the people closest to the equipment are usually the first to spot data issues.
Without a structured way to capture that feedback, problems persist.
Documoto includes a “Report an Issue” capability directly within the user experience. Whether someone is viewing a part, an assembly, a document, or other service content, they can flag issues in context and submit them with supporting details.
These reports can be routed to internal teams or integrated into existing CRM or ticketing systems, ensuring that feedback is captured, tracked, and acted on.
This is how data moves from static to continuously improving.
(4) Make Information Accessible Where It Matters
Data only creates value when it is accessible to the people who need it.
Manufacturers are increasingly being evaluated not just on the quality of their equipment, but on how easy it is to support that equipment after the sale.
Documoto provides a digital, self-service environment where dealers, distributors, fleet owners, and service teams can find parts through interactive catalogs, access service documentation, and place orders through integrated B2B commerce capabilities.
This accessibility is what enables faster decisions, more efficient service, and a better overall customer experience… ultimately also leading to more new equipment sales.
Bringing It All Together
The takeaway from the original article still holds:
Starting before everything is perfect does not remove responsibility, but it does change how that responsibility is managed.
Manufacturers making progress are not waiting for perfect data. They are putting systems in place that allow them to use what they have, improve it over time, and make it accessible to the people who depend on it.
That is where real aftermarket performance begins to change


