Case Study
JBM Group

India's leading electric bus & automotive components manufacturer

From Manual Invoices to Autonomous AP

JBM Group eliminated manual data entry across their entire invoice lifecycle — from shared mailboxes to SAP — in weeks, not months.

75%

faster invoice processing

90%

fewer data entry errors

JBM Group manufacturing facility
AI EngineWorkflow AutomationiPaaS
The Company

About JBM Group

JBM Group is one of India's most prominent automotive and electric mobility conglomerates. With over 40 manufacturing plants spanning 4 continents, JBM operates at massive scale — producing everything from automotive components to India's fastest-growing fleet of electric buses.

Processing thousands of supplier invoices monthly across dozens of entities and SAP instances, JBM's finance teams were drowning in manual work. They needed an intelligent automation platform that could handle multi-plant, multi-ERP accounts payable — without a year-long implementation.

Industry

Automotive Manufacturing

Headquarters

New Delhi, India

Scale

40+ Plants, 4 Continents

ERP System

SAP

ManufacturingAutomotiveElectric Vehicles

The Transformation Journey

Every Monday morning, JBM's AP teams across 40+ plants opened their shared mailboxes to find hundreds of accumulated emails — invoices in different formats, credit notes, delivery receipts. Processing these thousands of monthly invoices through manual data entry and email-based approvals was consuming the finance team's time and talent.

Traditional OCR and RPA solutions broke down against multi-format, multi-vendor invoices at manufacturing scale. DocQ's no-code platform was deployed in weeks. The AI was trained on JBM's actual document corpus, and within days was accurately extracting vendor names, line items, tax breakdowns, and PO references from documents that had stumped previous solutions.

Three weeks into the pilot, the AP processing queue was empty — not because invoices stopped arriving, but because DocQ had already processed them. Invoices that used to sit for days were being classified, extracted, matched to purchase orders, routed through approvals, and posted to SAP within hours.

Today, JBM's AP automation runs autonomously across their manufacturing network. The finance team focuses on what actually matters — financial analysis, vendor relationships, and strategic planning. The same automation scales to new entities through configuration, not code.

“DocQ sits at the heart of our digital transformation, delivering unmistakable ROI. In year one we cut document processing time by hundreds of hours saved monthly — while slashing operational costs.”

JBM Group

Lalit Kaushik · GM InfoSec, JBM Group

The Challenge

Thousands of Invoices. Zero Automation.

Manual Data Entry

Finance teams manually keying invoice data from emails, PDFs, and paper documents — across 40+ plants with different formats and vendors.

10–15 Day Processing Cycles

Invoices took 10–15 days to process from receipt to ERP posting. Procurement approvals alone added 5–7 days of administrative delays.

Constant Errors & Mismatches

Manual entry meant frequent data mismatches, duplicate payments, and PO discrepancies that required costly reconciliation.

No ERP Integration

Disconnected systems between mailboxes, spreadsheets, and SAP meant manual reconciliation and zero real-time visibility into AP status.

The Solution

End-to-End AP Automation, Built in Weeks

DocQ orchestrates the entire invoice lifecycle autonomously — from the moment an email lands in a shared mailbox to the final posting in SAP.

AI Classification & Extraction

OCR + AI models extract vendor names, invoice numbers, amounts, and PO references from any format — PDF, scanned images, or email text. The models learn from corrections and improve over time.

Intelligent PO Matching

Two-way and three-way PO matching with configurable tolerance thresholds. Mismatches are auto-escalated with discrepancy details for rapid resolution.

Real-Time SAP Sync

Bi-directional iPaaS integration pushes approved invoices to SAP and pulls PO/vendor data back. Every action is logged for ISO and IATF compliance.

1

Monitor Mailbox

2

AI Classify

3

Detect Invoices

4

Extract Data

5

Match PO

6

Rule-Based Approval

7

Push to SAP

8

Archive

Every step is governed by configurable rules — no code required. The workflow engine handles exceptions, escalations, and parallel approvals automatically, while maintaining a complete audit trail.

Results

Measurable Impact From Day One

Metric

Before DocQ

After DocQ

Invoice Processing Time

10–15 days
3–5 days

Data Entry Errors

Frequent, manual
90% reduction

Procurement Approvals

5–7 days
< 24 hours

ERP Sync

Manual reconciliation
Real-time automated

Build. Automate. Govern.Accelerate Intelligence. Accelerate People.

One platform to structure your data, automate your processes, and free your people — with AI baked in.

Every manual step eliminated is a compounding speed advantage. What are you still doing manually that DocQ could handle instantly?