Demand forecasting
SKU-level forecasts based on history, seasonality, external events, market trends.
Manufacturing
Italian manufacturing has rich data, but it's often fragmented across MES, ERP, department management systems. Unlocking it with AI means forecasting demand, reducing waste, optimizing lines. The 2026 hyper-depreciation makes the investment even more attractive.
Typical industry challenges
- Production data is siloed across MES, ERP, SCADA, Excel.
- Demand forecasting is still based on moving averages and intuition.
- Manual quality checks are slow and don't scale.
- Expense reports and procurement are an admin bottleneck.
Relevant regulations and standards
GDPREU AI ActIndustry 4.0 / 5.0ISO 9001ISO 27001Transition 5.0 plan
Common use cases
Visual quality control
Automatic quality control on the line with cameras and vision models.
Procurement optimization
Automatic reorder suggestions with ERP integration.
Expense dashboard
Receipt OCR, AI categorization, ERP export. From paper to real-time.
See how we tackle them in practice
We built an expense dashboard for a manufacturing SMB — from 10 to 2 days for accounting close. See related case studies →
Let's talk about your specific context
A 30-minute call to understand which solutions make most sense in your industry and company.
Book a call