Data entry ops · Production

Rolland Studios automates school photography order-form capture with ABBYY FlexiCapture

The problem

Rolland Studios manually entered order and pricing data from tens of thousands of student forms each season using handheld barcode scanners, a process that was slow and error-prone, requiring 15 minutes to redo each package whenever a data mismatch occurred.

Workflow diagram · grounded in source
1
Photo-to-form barcode pairing
trigger
“a barcode was assigned to each digital photo taken onsite, and then associated with a form specifying package options”
2
Automated form capture and validation
ai_action
“implementing a series of checks and crosschecks for automatic form validation and correction”
3
Out-of-range auto-correction
validation
“If there were values out of range, or multiple checkmarks were checked where only one checkmark was needed, FlexiCapture was set to automatically perform corrections”
4
Operator alert for unresolvable mismatches
human_review
“or inform operators – relieving them from the multiple tasks previously required to correct a form”
5
Database check and external import
integration
“set up to perform database checks and import values from external resources – enabling the amount of data on the form itself to be minimized, thus requiring less capture work, while still providing operators all the necessary data points”
6
Record written to company database
output
“information including name, print sizes, special services and payment details has to be input into a database, correlated and matched to their digital photo”
Reported outcome

FlexiCapture automated form validation and correction, alerting operators to mismatches and performing automatic corrections, making error correction six times faster than the previous manual process and substantially eliminating manual data entry.

Reported metrics
Error correction time per package (old process)15 minutes per package
Correction time improvement ratiosix times the time we are running at today
Manual data entryeliminates manual data entry
Implementation timeone week, start to finish
Show all 5 reported metrics
error correction time per package (old process)15 minutes per package
correction time improvement ratiosix times the time we are running at today
manual data entryeliminates manual data entry
implementation timeone week, start to finish
timesaving from mismatch alertsenormous timesaver
Reported stack
ABBYY FlexiCapture
Source
https://www.abbyy.com/customer-stories/school-photography-studio-raises-efficiency-with-automated-form-capture-by-abbyy/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

FlexiCapture automated form validation and correction, alerting operators to mismatches and performing automatic corrections, making error correction six times faster than the previous manual process and substantially…

What tools did this team use?

ABBYY FlexiCapture.

What results were reported?

Error correction time per package (old process): 15 minutes per package; Correction time improvement ratio: six times the time we are running at today; Manual data entry: eliminates manual data entry; Implementation time: one week, start to finish (source-reported, not independently verified).

How is this data entry ops AI workflow structured?

Photo-to-form barcode pairing → Automated form capture and validation → Out-of-range auto-correction → Operator alert for unresolvable mismatches → Database check and external import → Record written to company database.

Related data entry ops cases