Case Study
Mondelez×Nanonets

From manual rate card validation
to autonomous reconciliation

Mondelez manually validated freight invoices against carrier rate cards across MEA, SEA, and Australia. An autonomous Nanonets agent now handles invoice validation, rate card matching, reconciliation, and discrepancy flags end-to-end.

>$3M Annual Savings10x ROI on Nanonets Cost93% Reduction in Processing TimeNPS 10/10
About the customerNASDAQ: MDLZ

Mondelēz International is one of the world's largest snacking companies, operating in over 150 countries, with iconic brands like Oreo, Cadbury, Toblerone, and Ritz sold in virtually every household on the planet.

$36B
Annual revenue
150+
Countries
91K
Employees worldwide
#123
Fortune 500

The Problem

Their finance teams manually validated freight invoices with shipment information and vendor rate cards. This is a high-volume, complex process prone to human error leading to high costs.

  • Complex process led to overpayments to vendors.
  • Manual line-item verification with vendor rate cards was tedious at scale, prone to missed discrepancies and overcharging.
  • Global problem across MEA, SEA, and Australia due to lack of standardized validation.
Email/Portal
Receive invoice
Shared Drive
Retrieve rate card
Excel
Manual line-item check
Excel
Reconcile amounts
Email
Dispute / approve
SAP
Post to AP
Manual process repeated for each invoice
~100K
Freight invoices processed per year
$100M+
Annual logistics spend
Stack
SAP
Excel
Outlook

We were doing things manually across SAP, Excel, Outlook against tight deadlines and it was a huge pain point for us. With Nanonets, the process is much more autonomous. The team has always offered good engagement and prompt resolution to issues.

Head of Logistics Finance
Mondelez Brazil
Mondelez

The solution

One master agent orchestrating all tasks. Fully automated.

Nanonets replaced the manual loop with one autonomous agent. The agent orchestrates five sub-agents which each own one step of the pipeline, take decisions, perform actions directly in systems of record, and know when to ask for human help and when to pass invoices directly.

Receive Invoice
Load Rate Card
Validate Invoice
Reconcile Line Items
Flag Discrepancies
Update SAP

Impact

>$3M
Annual savings
Labour + error prevention
10x
ROI on Nanonets cost
Achieved within first year
93%
Reduction in processing time
2+ hrs → <15 min per invoice
10/10
NPS Score
Rated by Mondelez
Metric
Before
After
Savings
Invoice processing time
2+ hrs
<15 min
93% faster
Straight-through processing
0%
50%+
50%
Auto reconciliation rate
0%
75%
75%
Monthly labor cost
$83,000
$16,000
$67K/mo
Payment error losses
Untracked
Eliminated
$200K/mo

AGENT ANATOMY

Nanonets Agent
Autonomous action-taking
After validation
Agent decides path and acts
Match
All lines reconciled
Nanonets
Rate card loaded
Slab pricing ✓
Fuel surcharge ✓
Accessorials ✓
Nanonets
Line items checked
Base freight ✓
Fuel surcharge ✓
Accessorials ✓
Terminal fees ✓
Nanonets
No discrepancies
✓ All 14 line items matched
SAP · AP
SAP AP updated
InvoiceBL-204918
Amount$18,320
Finance
Payment approved
CarrierDHL Freight
Amount$18,320
StatusQueued ✓
Minor mismatch
Rate discrepancy
Nanonets
Discrepancy detected
⚠ Incorrect surcharge rate
Outlook
Carrier contacted
To: carrier@dhl.com
Requesting clarification on surcharge — BL-204918
Nanonets
listening…
Outlook
Revised invoice received
From: DHL Freight
Revised invoice attached ✓
Nanonets
Re-validation triggered
Base freight ✓
Fuel surcharge ✓
Accessorials ✓
Major mismatch
Significant overcharge
Nanonets
Major overcharge detected
Overcharge $1,420 vs rate card ✗
Outlook
Invoice disputed
To: carrier@dhl.com
Disputing invoice BL-204918 — reissue required
Nanonets
listening…
Carrier
Corrected invoice received
BL-204918-R1
Nanonets
listening…
Nanonets
New invoice re-queued
Full pipeline restart

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