Case Study
Asian Paints×Nanonets

From manual vendor documents
to autonomous AP automation

Asian Paints processed POs, invoices, delivery notes, and DANs from 22,000+ vendors manually. A Nanonets agent now classifies, extracts, reconciles, and imports every document into SAP end-to-end.

90% Reduction in Processing Time192 hrs/month Saved22,000+ Vendors AutomatedEmployee Delight
About the customerNSE: ASIANPAINT

Asia's third-largest paint manufacturer, Fortune 500 India company founded in 1942, producing industrial coatings and consumer paints across 14 countries.

$4.26B
Annual revenue
22,000+
Vendor network
26
Manufacturing facilities
14
Countries

The Problem

Asian Paints' accounts payable team manually processed vendor documents — purchase orders, tax invoices, delivery notes, and DANs — from over 22,000 suppliers. Each document required manual identification, data extraction, and entry into SAP.

  • Varying vendor formats across 22,000+ suppliers made standardized processing impossible.
  • Manual CSV compilation of extracted fields introduced errors and consumed ~192 team hours per month.
  • Payment delays from scattered documents across email and SAP slowed the entire AP cycle.
Email/SAP
Receive document
Manual Review
Identify doc type
Excel/CSV
Extract data
SAP (manual)
Import records
Email
Route discrepancies
SAP
Process payment
Manual process repeated for each document
22,000+
Vendors across 4 document types
192 hrs
Team hours spent monthly
Stack
SAP
Excel
Outlook

Nanonets played a pivotal role in the journey of account payables automation at Asian Paints. Document extraction was key to the overall automation. In addition, it also led to Employee Delight through faster submission and processing of Employee Reimbursement claims.

Prathmesh Khedekar
Assistant Manager - Systems, Asian Paints
Asian Paints

The solution

One agent orchestrating classification, extraction, and reconciliation. Fully automated.

Nanonets replaced the manual document loop with one autonomous agent. The agent orchestrates five sub-agents which each own one step of the pipeline — from ingestion through SAP import — and know when to pass documents through and when to route discrepancies back to vendors.

Receive Document
Classify Document
Extract Data
Reconcile PO
Route Discrepancy
Update SAP

Impact

90%
Reduction in processing time
5 min → ~30 sec per document
192 hrs
Person-hours saved monthly
Across the AP team
22K+
Vendors automated
Across all document types
5
Fields auto-captured
Per document, zero manual entry
Metric
Before
After
Savings
Document processing time
~5 min
~30 sec
90% faster
Manual data entry
5 fields manual
0 fields manual
100% automated
Monthly team hours
~192 hrs
~0 hrs
192 hrs/month
Discrepancy routing
Manual email
Automated
Instant routing
Vendor coverage
Partial
22,000+ vendors
Full coverage

AGENT ANATOMY

Nanonets Agent
Autonomous action-taking
After reconciliation
Agent decides path and acts
Match
All lines reconciled
Nanonets
Document extracted
Vendor name ✓
Invoice # ✓
Amount ✓
PO ref ✓
Nanonets
PO matched
All items ✓
Quantities ✓
Amounts ✓
SAP · AP
SAP imported
InvoiceINV-2026-04831
Amount₹1,84,500
Accounts
Payment approved
VendorAshok Paints
Amount₹1,84,500
StatusApproved ✓
Minor mismatch
Quantity discrepancy
Nanonets
Discrepancy detected
⚠ Quantity mismatch: +50 units
Email
Vendor notified
To: accounts@ashokpaints.in
Correction required — PO-92847 item #4
Nanonets
listening…
Vendor
Correction received
From: Ashok Paints
Corrected invoice attached ✓
Nanonets
Re-validation triggered
Classification ✓
Extraction ✓
PO match ✓
Major mismatch
Significant overcharge
Nanonets
Major overcharge detected
Overcharge flagged — amount exceeds PO ✗
Email
Invoice disputed
To: vendor@supplier.in
Invoice disputed — reissue required for PO-92847
Nanonets
listening…
Vendor
Corrected doc received
INV-2026-04831-R1
Nanonets
listening…
Nanonets
Requeued for processing
Full pipeline restart

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