Management engineer · Technical product builder
Operational constraints turned into industrial software and connected enterprise AI systems.I turn operational constraints into industrial software and connected enterprise AI systems, from logistics and planning to company-wide intelligence.
Explore selected workHighlights
Independently conceived and developed by Mattia Erigoni, tested in real working contexts and used in day-to-day operations.
Flagship · Enterprise AI
Synced with SharePoint and company email, not a one-off document upload. Search tens of thousands of documents without opening them one by one, then use the evidence across an AI-connected operational CRM/ERP layer and one governed tool hub.
Industrial engineering
Panel Nesting connects validated design data, physical optimisation and the manufacturing handoff.
End-to-end logistics
CargoCast estimates the shipment. LoadScan checks the confirmed packing list. Two tools, one connected decision path.
Full project collection
Nine operational projects. Explore the design decision, the case study and the system-specific lab behind each one.
Panel-planning pipeline that connects design exports, cutting layouts, packaging checks and supplier-ready outputs in one consistent manufacturing handoff.
Container loading estimator for the offer phase. Product codes and quantities become crate scenarios, loading simulations, saturation values and logistics cost-control signals.
Operational companion to CargoCast: confirmed packing-list data becomes accurate load layouts, saturation values and transport-ready checks for logistics.
Decision-support tool for engineered door assemblies. Turns product descriptions into reviewed crate or pallet proposals under physical handling constraints.
Excel/VBA planner that turns order data, capacities and average times into an automatic Gantt schedule for production resources and project changes.
Excel/VBA data-governance layer for a large B2B contact archive: guided entry, quality checks, duplicate review and commercial workflows.
Private knowledge retrieval from scattered technical documents, with local inference, visible evidence and source-linked answers. Developed through experimentation and used in real working contexts.
A collection of lightweight analytics and automation tools that clean exports, build reports and convert scattered operational data into decision-support information.
One enterprise AI hub synced with SharePoint and company email: search tens of thousands of documents, manage connected records and run operational tools with governed agents.
about
I work across operations, data, suppliers, customers and AI: the useful middle layer where messy constraints become faster decisions and cleaner execution.
Management engineering gives the method; software gives the leverage. I map how work really happens, remove manual friction and ship tools that people can trust when time, cost and coordination matter.
operational thesis
Make operational work measurable, repeatable and faster.
09
project case studies
Explore the problem, design decisions and operational solution.
2D / 3D
physical planning models
Sheet layouts and shipment plans that can be inspected.
What-if
system-specific decision labs
Explore constraints, evidence and governed actions with synthetic scenarios.
Sources
inspectable knowledge
Evidence and human review built into knowledge workflows.
Process clarity
I turn tacit know-how, exceptions and handoffs into explicit operating logic.
Decision speed
I compress planning, logistics and reporting into outputs people can act on quickly.
AI leverage
I use AI as a controlled amplifier for analysis, documentation, code and knowledge retrieval.
operating loop
process
map the constraint
model
formalise the logic
tool
ship the interface
iterate
tighten in use
toolkit
applied stackBuild
Optimize
Data + AI
Operations
contact
I build operational software for planning, logistics, data quality and connected enterprise AI. The best starting point is a concrete constraint, a spreadsheet nobody trusts, or a process that takes too long.