applied collaborations
Applied research collaborations and consulting projects with companies and public institutions.
DTALab carries out applied research and consulting activities with companies and public institutions. These collaborations address concrete data-intensive problems through methods from data management, machine learning, explainable AI, NLP, time-series analytics and trustworthy decision support.
Industry and Institutional Projects
Research contracts and consultancy projects addressing challenges in supply chains, credit risk, manufacturing, retail analytics and public data management.
Supplier Matching and Product Classification
2026–Present · IUNGO S.p.A.
Research consultancy
Development of a data integration pipeline to consolidate duplicate supplier records, classify heterogeneous product descriptions according to the UNSPSC taxonomy, and identify alternative sourcing opportunities.
Entity Matching Product Classification Supplier Similarity
Counterfactual Explanations for Credit Scoring
2025–Present · CRIF S.p.A.
Research contract
Development of expert-guided counterfactual explanations for credit-scoring models, with the objective of producing transparent, realistic and actionable alternatives.
Counterfactual Explanations Credit Risk Trustworthy AI
Advanced Sales Data Analysis and Production Scheduling
2020 · Italgraniti S.p.A.
Research consultancy
Advanced analysis of order and sales data to support production planning, including the development of a library for the automated analysis of company sales data.
Sales Analytics Production Planning Decision Support
Spatial and Temporal Open Data Platform
2020 · Autorità di Bacino Distrettuale del Fiume Po
Research consultancy
Development of a platform for exploring and publishing spatial and temporal metadata, supporting their dissemination and reuse as open data.
Open Data Spatial Data Metadata Management
Time-Series Analysis and Performance Indicators
2019 · Ceramiche Polis S.p.A.
Research consultancy
Time-series analysis of retail sales data and identification of performance indicators, supported by the development of an automated data-analysis library.
Time-Series Analysis Retail Analytics Performance Indicators