If you spend any time around a truss plant, you know the estimating department is usually one of the busiest parts of the business.
Plans come in. Builders want numbers quickly. Estimators are buried in drawings, spreadsheets, and design software trying to get bids out the door.
And the reality is, in many companies, estimating is still a very manual process.
That’s starting to change.
AI estimating is beginning to reshape how component manufacturers approach the bid process. Not by replacing estimators, but by helping them move faster and handle more work without everything turning into chaos.
Here are five problems AI estimating can help solve.
In a lot of plants, an estimate can take days to complete. The estimator has to go through the plans, review the scope, calculate materials, and put everything together before the bid can even go out.
Meanwhile the builder is often sending the same plans to multiple suppliers.
The faster you respond, the better your chances of winning the job.
AI estimating helps accelerate that early stage of the process so estimators can generate initial estimates much faster and spend more time reviewing the details instead of building everything from scratch.
A lot of estimating work is repetitive.
Looking through plans.
Counting materials.
Entering information into systems.
Rebuilding similar estimates again and again.
That kind of work eats up hours of the day.
AI can help automate much of the early analysis so estimators can focus on the part of the job that actually requires experience and judgment.
Instead of spending all day entering information, they can spend their time making sure the estimate is right.
If you have multiple estimators in a company, you’ve probably seen this before.
Two estimators look at the same project and come up with slightly different numbers. Not because one is wrong, but because each person has their own way of approaching a job.
Small differences in assumptions can add up.
AI estimating helps create a more consistent starting point for estimates, which makes it easier for teams to maintain pricing consistency across the company.
This is something I hear from a lot of component manufacturers.
They simply cannot estimate every project that comes in.
There are only so many hours in the day, and the estimating team can only handle so many jobs at once. So companies end up picking which projects to bid and which ones to pass on.
That means missed opportunities.
When estimating becomes faster, companies can handle more bid volume without adding more people to the team.
Another challenge with estimating is visibility.
A lot of the work happens across emails, spreadsheets, design software, and internal notes. That can make it difficult to see what’s actually happening across the bid pipeline.
Questions like:
How many bids are we working on right now?
Which jobs are waiting on estimating?
Where are things getting stuck?
AI estimating becomes even more valuable when it’s part of a structured bid process where every project moves through clear stages and everyone can see where things stand.
AI estimating is still early, but it’s clear that it’s going to change how component manufacturers approach the bid process.
Cadynce is actively working on new tools to help component manufacturers move faster through the bid process. We’ll be announcing a major new feature around AI soon.
If you're interested in seeing what Cadynce is building, schedule a quick demo to learn more.