01 // THE PROBLEM
Staff manually transcribed paper manifests into spreadsheets — typos, missing fields, and illegible handwriting caused billing errors.
View frameBack to archive
Prototype6-week prototype // KZN · Empangeni corridor
Smart Logistics Ops
Manifest Scanner Prototype
Prototype capability: photograph a form, extract fields with confidence scores, flag exceptions for human review.
Smart logistics manifest scanner: paper forms enter a conveyor, get scanned, and leave as validated data rows
The challenge
The cost of inaction.
Teams that type paper manifest numbers into spreadsheets all day create typos, delays, and billing disputes.
Manual errors keep costing time in shipping corrections and customer disputes.
The response
How I solved it.
Let the computer read the forms. Replace manual typing with a scanner that validates every document in seconds.
An AI document prototype that scans manifests, checks for errors, and routes data where it needs to go.
Storyboard
The work.
02 // AI SYSTEM
Manifests are photographed on any phone and processed in seconds with no human transcription.
View frame03 // AI SCANNER
The scanner extracts fields with confidence scores. Anything below threshold is flagged for a quick human review.
View frame04 // DATA QUALITY
Side by side: old manual entry vs AI output. Typos and missing seals stop being a daily problem.
View frame06 // STAFF FREED
Time spent on data entry gets reallocated to operations — same headcount, higher-value work.
View frameDeliverables
- Document scanner UI
- Confidence-scored extraction
- Exception review flags
- Admin review dashboard
Prototype capability
01
Target: data-entry errors near zero
02
Processing designed for seconds per form, not minutes
03
Staff time freed for customer-facing ops
Why this prototype
AI here is not sci-fi — it is a force multiplier for regional transport teams drowning in paper.
Regional businesses can run as efficiently as global ones with the right tools.
AI VisionSmart FormsAutomation System