AI label reading for package handling in multi-family buildings

The challenge

Staff were keying courier details by hand for every package, which slowed delivery handling and introduced errors.

  1. Courier labels vary widely in layout and quality.
  2. Recipient, invoice and address details had to be captured accurately every time.
  3. Unclear or partial scans needed to be caught before a package was logged.
  4. The capability had to fit inside the existing mobile app.

What Winjit built

01

AI label extraction

OCR with language processing and machine learning that reads recipient name, invoice number, date and address.

02

Mobile scanning interface

Real-time scanning and extraction inside the platform app.

03

Validation and alerts

Checks for missing data points, with prompts to rescan unclear images.

04

Configurable capture settings

Camera and parameter tuning, local storage and API export.

TechnologyAngular · Node.js · Python · TensorFlow · MySQL

Results

90%+

accuracy on extracted details

40%

less manual data entry time

30%

less rework