Turning messy site-visit notes into clean proposals for Lemtech
Site visit reports arrived in every format imaginable — handwritten notes, spelling mistakes, varying layouts. Pearstop built a system that reads incoming reports and automatically outputs a clean, accurate proposal document.
Why was the commercial team retyping every site-visit note by hand?
Site visit reports came back from the field in whatever format a technician had to hand — handwritten notes, spelling mistakes, inconsistent layouts. Every one of them had to be retyped into a proposal document before it could go to a client, a slow, repetitive job that ate into the commercial team’s time.
From a handwritten note to a ready proposal
Pearstop interpreted the incoming notes, pulled the right products and specifications, and returned a cleaner proposal workflow with much less manual re-entry.
2 · Match products and specs
3 · Draft the proposal
“Pearstop built a system that automatically pulls the right items from our visiting reports into a clean proposal document. It saves our team a lot of time by eliminating the repetitive tasks of combining the correct items.”
The same problem, outside procurement
This is a manufacturing example of the same core problem Pearstop solves in procurement data: operational information that is messy, inconsistent, and expensive to handle by hand. The same underlying engine reads, interprets, and structures it — whether the source is an invoice, a purchase order, or a handwritten site-visit note.
Same problem with your own documents?
Send us a sample of what comes in - messy notes, PDFs, or free text - and we'll show you what comes back structured.
