CASE STUDY · MANUFACTURING

AI Procurement Intelligence for Manufacturing

Manufacturing company in the Veneto region - 200 employees, 350+ active suppliers, 15,000 SKUs

procurementsupply chainmanufacturingsuppliersVeneto

-8.5% (saving 420,000 EUR/year)

Average procurement cost

-73% (from 15 to 4 incidents/month)

Stock-outs

-80%

Supplier analysis time

-12% thanks to alternative suppliers

Average lead time

5.2x

First-year ROI

THE CHALLENGE

The problem to solve

Procurement managed 350 suppliers with spreadsheets and the senior buyer's memory. There was no systematic price analysis, no supplier benchmarking, and frequent stock-outs due to poor lead time forecasting. Procurement costs represented 58% of revenue.

THE SOLUTION

What we implemented

AI procurement intelligence platform that analyzes order history, pricing, lead times, and reliability for each supplier. It generates purchasing recommendations based on demand forecasting, suggests alternative suppliers with price benchmarking, and sends alerts for strategic renegotiations and stock-out risks.

THE RESULTS

Measured impact

01

Average procurement cost

-8.5% (saving 420,000 EUR/year)

02

Stock-outs

-73% (from 15 to 4 incidents/month)

03

Supplier analysis time

-80%

04

Average lead time

-12% thanks to alternative suppliers

05

First-year ROI

5.2x

Timeline

12 weeks (6 development + 3 ERP integration + 3 model training)

Investment

65,000 - 90,000 EUR (Industry 4.0 tax credit of 20%)

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