Does this sound like you?
When we talk to manufacturers, we usually start by looking at the problems, not the technology. These are some of the situations where we tend to create the most value. How many sound familiar?
Here's what that actually costs you.
Each thing you ticked has a price tag attached. This is what we see when we open the hood — and where we'd start.
How much money would our help impact?
Mark all the areas that are your challenges today and find out.
Problems we see everywhere else
Not every problem is yours. Tap any of these to add it to your diagnosis above.
The same three beats, every time.
The market moved before the process did.
Customers now expect an answer in minutes. Whoever can answer fast without losing accuracy takes the deal — and that is a process question, not a product question.
“NorrLab saw an opportunity we overlooked ourselves. Now we're exploring real AI applications in material handling to decrease iterations by more than 60%”
Engineering became the bottleneck for sales.
Every revision, every price, every drawing had to pass through the few people who hold the product knowledge. The queue is where days, margin and momentum disappear.
“Every proposal revision required engineering resources. Solution designers waited on technical input for changes that seemed like they should be simpler.”
Put the engineering logic where the work happens.
We capture the rules once — geometry, load, compliance, price — and hand them to the people talking to the customer. Verification stays, the waiting does not.
“Solution designers can now carry out work tasks that previously involved resources from our engineering team. This results in a very quick turnaround so we can spend more time with customers and new sales.”
Same problem, three times.
Three manufacturers, three different products, one identical bottleneck: the work stopped every time it had to go back to engineering.
Engineers iterated nine times to land the right beam and column profiles, so complex quotes were pushed to backoffice.
Every proposal revision needed engineering resources, so solution designers waited instead of selling.
A very broad product range was hard to visualise and explain, and onboarding took months.
“NorrLab saw an opportunity we overlooked ourselves. Now we're exploring real AI applications in material handling to decrease iterations by more than 60%”