invoice_processing · realestate · workflow
Tapi automates property maintenance invoice processing with Nanonets Invoice OCR
Tapi manually processed large volumes of property maintenance invoices each month across hundreds of agencies, which was a major bottleneck in turnaround time. An outsourced data entry model proved unscalable and could not keep up with Tapi's rapid growth.
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 · Invoice OCR capture
Nanonets Invoice OCR captures information from invoices and sends it to Tapi.
Tools used
NanonetsInvoice OCR
Outcome
Nanonets Invoice OCR extracts required invoice fields correctly 94% of the time, the integration was operational within a week, is maintained by a non-technical staff member, and Tapi reports massive gains in savings and productivity.
What failed first
Tapi's outsourced data entry model was unscalable and unable to keep pace with the company's rapid growth.
Results
Time saveda week
Volume94%
Grounding & classification
Source type: vendor customer story
25 fields verified against source quotes.
data extractiondocument aiocrinvoicefailure mode describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedreal estateaccuracy improvementcycle time reductionemployee productivityvendor customer storyaccounts payableinvoice processingdocument to recordextract classify route