VRC processes 1 million handwritten delivery tickets in <45 days
Customer spotlight:
Vital Records Control (VRC)
Industry:
Transportation & Logistics,
Business Process Outsourcing
Challenge:
Expand capacity, speed handwritten form processing
For a major transportation and logistics client, VRC receives 2-3 boxes every week, each box containing roughly 10,000 scans of handwritten delivery tickets. This processing load, on top of increasing volume due to new business, meant VRC’s Imaging Team needed to ensure their capacity was protected.
VRC needed to bridge the gap between scanning and indexing the delivery tickets.
They sought a secure method for processing 1 million delivery tickets.
VRC's solution must-haves:
- Faster and more accurate processing capabilities
- Proven ability to capture and extract handwritten data
- Quick set up and time to value
The perfect challenges for AI + HI
Collective intelligence, which brings human (HI) and artificial intelligence (AI) together, was the missing piece to VRC’s puzzle. Here’s how the work is broken down:
Artificial Intelligence
Quickly extracts data from structured forms
with defined fields (delivery tickets).
Human Intelligence
Solution:
a managed service that guarantees speed + accuracy at scale
ScaleHub’s collective intelligence managed service can take on any volume of documents—without advance notice—while ensuring data privacy and guaranteeing >99% accuracy.
the ScaleHub workflow
VRC UPLOADS SCANNED IMAGES TO THE SCALEHUB PORTAL:
Each box, containing roughly 10,000 tickets, is scanned into VRC’s system and automatically picked up by ScaleHub’s managed service.
FIELD EXTRACTION:
AI and OCR take a “first pass” at extracting data from the three required fields on the delivery ticket. Additionally, images of the three fields are pulled from the document, a process ScaleHub calls snippeting.
SNIPPETING & CROWD VALIDATION:
The field images, or snippets, are then distributed to public crowd contributors who perform data entry of what they see in the image. Snippeting ensures data is protected as contributors only see one piece of information, never with full context. OCR results are compared to crowd contributor data entry results. Matches are confirmed as accurate, while mismatches are sent to a tie-breaker crowd contributor. In this way, ScaleHub is able to guarantee >99% data accuracy.
EXCEPTIONS HANDLED BY VRC:
Unreadable documents, missing fields, and other exceptions are reviewed and managed by VRC in an easy-to-use exception queue.
DATA DELIVERED QUICKLY:
Processed data is returned to VRC in less than an hour via the cloud.
- VRC uploads scanned images to ScaleHub portal
- AI + OCR take “first pass” at data extraction, decontextualize extracted data as "snippets"
- Snippets are distributed to public crowd contributors who perform data entry of what they see in the image; these entries are compared to OCR results
- VRC reviews exceptions in an easy-to-use exception queue
- Processed data is returned to VRC in less than an hour via the cloud
the results
Solution up and running in two weeks
From contract agreement to
implementation, VRC processed its backlog more quickly than would be possible using AI or traditional OCR, which can take months to be operational.
Manual processing reduced by 96%
Instead of VRC’s Imaging Team manually indexing data from every delivery ticket, today they only complete data entry or decisioning on a small fraction of tickets.
client retention And new business possibilities
By demonstrating their capacity to quickly process significant document volumes, VRC not only delighted their major transportation and logistics client, but can also apply this newfound ability to quickly scale for future business opportunities.
Time & cost savings
By leveraging a service to perform manual indexing of delivery ticket data, the Imaging Team can focus on exceptions and increase throughput for other clients.
download complete VRC case study now
and learn how VRC processes 1 million handwritten delivery tickets in <45 days.
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