Invoice Processing: From 5-Day Backlog to Same-Day Clearance
Trading & Distribution·UAE
A mid-size trading company was processing 300+ invoices a month entirely by hand. Three finance staff, chronic backlogs, reconciliation errors, and zero audit trail. We automated the full cycle in 4 weeks.
Same day
Was 5 days
1 supervisor
Was 3 staff
<1% errors
Was 11%
4 weeks
Delivery
01 — Challenge
The Problem
Finance team spent the bulk of each week manually keying invoice data from PDFs and emails into the ERP. Mismatches were caught only at month-end. Approvals happened via WhatsApp with no audit trail. The CFO had no real-time view of outstanding liabilities.
- Invoices via email, WhatsApp, courier — no single intake point
- 3 staff spent ~60% of their time on manual data entry
- Month-end reconciliation took 3–4 days of overtime
- No traceable approval chain — PO matching done by memory
- ERP entries missed or duplicated under volume pressure
Before Automation
The baseline state
Invoices via email, WhatsApp, courier — no single intake point
3 staff spent ~60% of their time on manual data entry
Month-end reconciliation took 3–4 days of overtime
No traceable approval chain — PO matching done by memory
ERP entries missed or duplicated under volume pressure
02 — Solution
What We Built
A step-by-step breakdown of the automation deployed — and why each component matters.
Unified Intake
Single email inbox + WhatsApp integration funnels all invoices into one auto-ingestion queue.
AI Extraction
OCR + LLM extracts vendor, amount, line items, PO reference, and due date from any format.
PO Matching
Extracted data matched against open POs. Matched invoices pass; mismatches enter review queue.
Approval Routing
Invoices above threshold trigger a digital approval flow with deadline and escalation logic.
ERP Push
Approved invoices auto-posted to the ERP. Payment batch queued. Zero re-keying.
Live Dashboard
Finance and CFO see outstanding liabilities, approval status, and volume in real time.
03 — Results
The Numbers, 90 Days Post-Launch
Same day
Was 5 days
1 supervisor
Was 3 staff
<1% errors
Was 11%
4 weeks
Delivery
“Month-end used to be a crisis. Now it is a button click. The team actually left on time for the first time in two years.”
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