A measurement is crossed out. A number is added in the margin. A note appears directly on the PDF.
For many glass manufacturers, these small edits create significant effort: someone must detect the change, interpret it correctly, and manually transfer it into the ERP system, where errors can easily occur.
In a recent demonstration, A+W Software shows how Mira, the intelligence behind A+W Order Entry AI, captures handwritten changes, validates ambiguous information, and prevents errors before they reach the ERP system.
Turning Handwritten Notes Into Reliable Order Data
Mira reads the entire document and detects relevant changes automatically. When information is unclear, she validates it before proceeding and ensuring that only confirmed values are transferred into the order process.
The result:
- No manual retyping
- No lost information
- Fewer order entry errors
- More time for higher-value tasks
▶ Watch the 30-Second Example
The example highlights a familiar situation: a handwritten change on a customer document that could easily be overlooked during manual processing.
Even minor adjustments can impact downstream processes such as production, scheduling, purchasing, and delivery.
The video shows how Mira reduces this risk by validating uncertain inputs instead of guessing.
Why This Matters
Handwritten changes are common and missing them is costly.
By combining document understanding with a validation-first approach, A+W Order Entry AI ensures that critical information is captured correctly before entering the ERP process.
For more real-world AI examples from the glass industry, follow A+W Software on LinkedIn and stay up to date with the latest developments around Mira and A+W Order Entry AI.
