Name: Smarter last-mile logistics: using operations research to optimize delivery districts and booking calendars in the Italian context
Start: 2026-05-27T10:30:00+0200
End: 2026-05-27T11:00:00+0200

Smarter last-mile logistics: using operations research to optimize delivery districts and booking calendars in the Italian context

LIMITED

Wednesday May 27, 2026 10:30 - 11:00 CEST

🤖 DATA/AI ARENA

Limited Capacity seats available

Last-mile delivery operations face increasing pressure to balance service quality with cost efficiency, given highly variable demand densities and heterogeneous territories. We present an optimization framework that jointly designs territorial delivery districts and customer booking calendars, treating delivery slot availability as decision variables. In remote or low-demand areas, the system restricts booking availability to a limited number of weekly delivery slots, enabling order consolidation and reducing inefficient travel. Conversely, high-demand districts are offered a larger set of booking slots, supporting more frequent delivery routes. **By shaping demand in time, the system aligns customer delivery choices with operationally efficient routing patterns**. The underlying mathematical formulation is based on a Mixed-Integer Linear Programming (MILP) model that optimizes booking calendar configurations while minimizing fleet size and traveled kilometers under company-specific operational constraints.
Deployed by Golilla, the Italian last-mile logistics operator within the Adeo ecosystem, the tool was tested over six months at a regional hub in Emilia-Romagna, replacing the previous experience-based scheduling approach. The result was a 15% increase in gross margin. It is now live in production and being rolled out across the full Italian territory.

Speakers

Dario Piloni

Data Scientist, Tecnomat Italy

Data scientist in Tecnomat Italy since 2023, formerly a scientific researcher in the field of Operations Research, Mathematical Optimization and Machine Learning.