Case study · Food · Anonymous

Forecasting, inventory and back-office in an Italian food SME

An Italian food manufacturing SME with around €30M revenue used Virtualux to bring AI into forecasting, inventory, shelf-life and labelling.

Context

The starting point

Company

Food manufacturing SME, ~€30M revenue, based in Italy

Systems

ERP, operational Excel, quality documentation on file system

Team involved

Operations, admin, quality, external IT

The challenge

Data available, disconnected from decisions

Manual forecasts on Excel, inventory estimated by gut feeling, shelf-life monitored case by case, labelling acting as a bottleneck in production. ERP populated but underused for operational decisions.

What we did

Mapping, Pilot, production

01

AI Audit

Process map, business case and roadmap across 5 AI candidates.

02

Targeted Pilot

Forecast + inventory prototype on real ERP data, validated by the operations team.

03

Production development

AI system integrated with the ERP, training programme for the admin team.

Outcome

Integrated system, trained team

The project led to an AI system integrated with the ERP and a training programme for the admin team. Detailed numbers are shared confidentially during discovery — we'd rather have a real but private proof point than a showcase with made-up figures.

Want a similar

We start from a 3-week AI Audit to understand where it makes sense to invest in your specific case.