data_entry_ops · services · workflow
Miller Tanner saves 800 hours yearly by automating travel PDF data extraction with Box AI API
Miller Tanner agents manually transcribed data from incoming travel PDFs into their operational database, consuming roughly 800 hours per year, because every travel agency formats their booking PDFs differently, making fixed-format automated extraction impractical.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · PDF uploaded to Box folder
A staff member uploads incoming travel PDFs to a folder on Box, triggering the automated extraction process.
Tools used
Box AI APIAsk APIExtract APIBox ShuttleBox GovernanceBox NotesBox Sign
Outcome
A custom workflow built on the Box AI API automatically extracts unstructured data from travel PDFs and routes it to the operational database, saving 800 hours of manual entry per year and enabling Miller Tanner to serve customers faster and more accurately.
Results
Time saved800 hours
Volume95%
Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes, 1 dropped as unverifiable.
data extractiondocument aiidpform submissionhuman review describedmetric backednamed customerproduction runtime claimedworkflow describedprofessional servicesautomation rateemployee productivitytime savedvendor customer storyback office opsdata entry opsdocument to recordinbox to system