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SourcingIndustrial manufacturing
AI-Powered Material Sourcing & Invoice Validation
A leading industrial manufacturer used Lasya AI to automate the sourcing lifecycle across 20 global plants - improving speed, cost and the team’s strategic focus.
Soumyasri Upadhyaya

−75%sourcing cycle time (12 days → 3)
12%direct cost reduction - over $18M in annual savings
−87%invoice errors (mismatch rate 15% → under 2%)
85%of manager time refocused on strategic work
+20%vendor pool - 50+ new competitive suppliers in year one
24/7vendor engagement via autonomous chat and email
THE CHALLENGE
Manual, fragmented sourcing across 20 plants.
Sourcing managers spent hours each week consolidating requisitions that arrived by email and spreadsheet. Negotiation, vendor discovery and invoice checks all depended on people.
- Requisitions from 20 global plants consolidated by hand every week
- Negotiations ran through long email chains and calls - slow, with uneven pricing
- Vendor discovery was reactive, limited to the existing supplier list
- Vendor choices leaned on relationships rather than market data
- AP checked every invoice against its PO manually - frequent mismatches and overpayment risk
THE SOLUTION
Lasya Enterprise AI ran the sourcing workflow end to end.
- 01
Requisition consolidation
Requisitions from every plant ingested and merged into optimized sourcing events. - 02
Autonomous negotiation
Price negotiation with vendors over chat and email, without manual relay. - 03
Continuous vendor discovery
The market scanned for new suppliers and rates, widening the competitive pool. - 04
Data-driven recommendation
Vendors ranked on price, lead time and performance. - 05
Automated three-way match
Vendor invoice, PO and rate contract compared, with mismatches flagged.
Sourcing cycle time−75% sourcing cycle time
Before Lasya12 days
With Lasya3 days
Invoice mismatch rate−87% invoice errors
Before Lasya15%
With Lasya< 2%
WHERE THIS FITS
From operational fragmentation to autonomous execution.
- THE PROBLEMOperational Fragmentation →Requisitions from 20 plants arrived by email and spreadsheet and were merged by hand. Negotiation, vendor discovery and invoice checks depended on people relaying context between tools.
- THE ARCHITECTURESystem of Execution →Lasya carried each sourcing event from requisition through negotiation, PO and invoice validation as one transaction, instead of handing it from team to team.
- THE OUTCOMEAutonomous Supply Chain Execution →Sourcing cycle time fell from 12 days to 3 and the invoice mismatch rate from 15% to under 2%.
The next measure to track is Autonomy Rate: the share of eligible transactions completed end to end without a person relaying them.
THE OUTCOMESourcing moved from days of manual coordination to a governed, autonomous flow - with measurable savings and fewer invoice errors.
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