Case Study
Tigris Fulfilment Partners×Nanonets

From manual invoice entry
to an autonomous document agent

Tigris Fulfilment Partners processed invoices, purchase orders, and bills of lading by hand — with ~70% accuracy and multiple touchpoints per document. A Nanonets agent now ingests from email, classifies each doc type, runs 5 custom OCR models, and exports directly to NetSuite.

>95% Accuracy40 hrs/week Saved80% Time Reduction½ FTE Eliminated
About the customerTigris Fulfilment Partners

Tigris Fulfilment Partners is a logistics and fulfilment company based in Atlanta, GA. The team manages high volumes of vendor documents — invoices, purchase orders, and bills of lading — across a large supplier network. Before Nanonets, Tigris evaluated Textract, ABBYY, Kofax, and Rossum before selecting Nanonets for its agentic, end-to-end automation capabilities.

Atlanta, GA
Headquarters
Logistics
Industry
4
Competitors evaluated
3
Document types automated

The Problem

Tigris Fulfilment Partners receives high volumes of vendor documents daily — invoices, purchase orders, and bills of lading — all arriving as email attachments in mixed batches. Each document required a staff member to download, identify, manually enter fields, cross-reference against the PO, and then upload to NetSuite.

  • ~70% accuracy with manual data entry, leading to frequent rework and correction cycles.
  • Multiple manual touchpoints per document from receipt to NetSuite — no straight-through processing.
  • Evaluated 4 competitors — Textract, ABBYY, Kofax, Rossum — before choosing Nanonets for its agentic workflow.
Email
Email arrives
Staff
Download attachments
Staff
Identify doc type
Excel
Manual data entry
Staff
Verify against PO
NetSuite
Upload to NetSuite
Manual process repeated per document
~70%
Accuracy before Nanonets
3 types
Invoices, POs, BOLs processed manually
Stack
Email
NSNetSuite

The new process with Nanonets has easily saved the work of half an FTE.

Christopher Sell
Senior Analyst, Tigris Fulfilment Partners
Tigris Fulfilment Partners

The solution

One document agent. Every vendor format, every doc type.

Nanonets replaced the manual workflow with one autonomous agent. It monitors email, classifies each attachment, applies five custom OCR models per document type, cross-references invoices against POs, and exports directly to NetSuite via webhook — with a one-click approval step for any low-confidence fields.

Receive from Email
Classify Document
Extract Fields
Human Approval
Export to NetSuite

Pipeline overview

Email Inbox
Vendor email arrives
Attachments detected
Nanonets
Classify document
Invoice / PO / BOL
Nanonets
Extract fields
5 custom OCR models
Nanonets
One-click review
Pre-filled approval form
NetSuite
Webhook delivered
Record auto-created
NetSuite
Record created
Vendor account updated
Nanonets
Flag low confidence
Field below threshold
Pending review
Human approves
>95% accuracy · 40 hrs/week saved · Email + NetSuite integrated

Impact

>95%
extraction accuracy
Up from ~70% manual
40 hrs
saved per week
Staff time reclaimed
80%
time reduction
Per document processed
9/10
satisfaction
Rated by Tigris team
Metric
Before
After
Improvement
Accuracy
~70%
>95%
+25 percentage points
Time per doc
Multiple steps
1-click approval
80% time reduction
Hours saved
40 hrs/week
Fully reclaimed
FTE cost
Full FTE
Half FTE eliminated
Headcount reduction
Formats supported
Manual only
Invoices / POs / BOLs
Automated

AGENT ANATOMY

Nanonets Agent
Autonomous action-taking
After extraction
Agent decides path and acts
Auto-approved
High confidence
Email
Email ingested
3 attachments detected
Vendor: FastShip ✓
Pipeline triggered ✓
Nanonets
Docs classified
Invoice identified ✓
PO identified ✓
BOL identified ✓
Nanonets
Fields extracted
Vendor IDV-4829
Amount$8,450.00
PO#PO-2024-0128
Nanonets
Auto-approved
Confidence>95%
StatusApproved ✓
NetSuite
Webhook sent
PayloadDelivered
RecordTXN-44821
NetSuite
Record created
AccountUpdated ✓
ArchiveDone ✓
Review needed
Low confidence field
Nanonets
Low confidence flagged
⚠ Field below threshold
Nanonets
listening…
Nanonets
Review queue
StatusQueued
Nanonets
listening…
Human
1-click approve
Field corrected + approved
Nanonets
Loops to NetSuite
StatusApproved ✓
Webhook fired
Mismatch
Invoice ≠ PO amount
Nanonets
Amount mismatch
Invoice ≠ PO amount ✗
Nanonets
listening…
Nanonets
Exception flag
QueueException ✗
Nanonets
listening…
Human
Exception handling
Discrepancy resolved
Nanonets
Loops to Extract
Corrected
Re-extracts

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