CASE STUDY · FOOD & BEVERAGE

AI Supply Chain Traceability in Winemaking

Winery in the Veneto region - 35 employees, 800,000 bottles/year, 45% export

winemakingtraceabilityDOCsupply chainVeneto

-80% (from 3 weeks to 3 days)

DOC/DOCG certification time

-95%

Documentation errors

+12% (transparency premium)

Average export bottle price

+8 in 12 months

New buyers acquired (supply chain transparency)

22% scans per product

Consumer QR code engagement

THE CHALLENGE

The problem to solve

Wine supply chain traceability was managed with paper registers and spreadsheets. DOC/DOCG certification required weeks of manual work to collect and verify data. International buyers increasingly demanded supply chain transparency for Nordic and Anglo-Saxon markets.

THE SOLUTION

What we implemented

AI traceability system that monitors the entire supply chain: (1) captures data from vineyard sensors (weather, soil, ripeness), (2) automatically records all winery operations, (3) generates a digital passport for each bottle with QR code, (4) automates documentation for DOC/DOCG certifications.

THE RESULTS

Measured impact

01

DOC/DOCG certification time

-80% (from 3 weeks to 3 days)

02

Documentation errors

-95%

03

Average export bottle price

+12% (transparency premium)

04

New buyers acquired (supply chain transparency)

+8 in 12 months

05

Consumer QR code engagement

22% scans per product

Timeline

14 weeks (6 development + 4 sensor integration + 4 harvest testing)

Investment

60,000 - 85,000 EUR (Veneto Agri-Food Supply Chain Grant up to 250,000 EUR)

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