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.
A configurator is three layers deep. Most stop at the first.
Every manufacturer runs a different mix of sales motions, and the tooling has to support all of them. But the value doesn't come from the picture — it comes from how deep the system goes underneath it.
Visual layer
Real-time 2D and 3D of the product or the full installation, on desktop and tablet. The customer sees what they are actually buying, from the same model that drives everything else.
Rule layer
The engineering knowledge: allowed combinations, load and dimension logic, standard calculations that pick the correct beam instead of asking a person to.
Data layer
ERP, CRM and PLM integrations, so a configuration becomes a quote, an order and a production package — bill of materials and drawings included.
Three sales motions, one system underneath.
Deeply custom solutions where engineering and sales collaborate on every quote. The tool carries the rules, validations and tribal knowledge so senior engineers stop being the bottleneck.
A named team supports a customer through a warehouse or facility project. The tool becomes a shared workspace — versioning, layout, visualisation, bill of materials, hand-off to production.
Standard assortment, online, no human in the loop. A smaller share of revenue for most manufacturers — but every automated order is one your team never has to touch.
“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%”