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Moneta

Intelligence & forecasting

Forecasts and simulations on your company's data

Mathematical models, simulations and dashboards that tell you what will happen.We start from your numbers and build models that try thousands of scenarios. You decide with the figures in front of you.

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In this pillar

  • Mathematical modelling
  • Thousands of scenarios before you decide
  • Market and commodity scenarios
  • Predictive dashboards

10,000

scenarios simulated to plan a rail service

Real result · Intermodal logistics operator, 2025

The problems we solve

Do you recognise one of these situations?

Reports arrive late

By the time the number is ready, the decision has already been made on gut feeling.

Prices and commodities change every week

Buying too early or too late hits the margin, and nobody can say by how much.

Big choices on a single scenario

A new service, a line, a warehouse: you decide on an Excel sheet with the average case and hope it goes that way.

Solutions · Intelligence & forecasting

What we can build for you

Each solution can be switched on alone or together with the others.

Mathematical modelling

statistical models by department

A model calibrated on a department's numbers (purchasing, finance, production, sales) that brings inefficiencies and recurring patterns to the surface, with a report of concrete actions.

Who it is for: Department heads and management.

Thousands of scenarios before you decide

Monte Carlo simulation

We try thousands of combinations of demand, delays and capacity before the decision. You see the risk as well as the average.

Who it is for: Logistics, production, major investments.

Market and commodity scenarios

PIE

Prices, demand and supply in a single model. Change an assumption and the scenario recalculates while you watch.

Who it is for: Food and agri, purchasing offices, processing industry.

Predictive dashboards

forecasts and what-if simulations

Dashboards with forecasts, sliders and filters to simulate choices in real time. Connected to your data and updated automatically.

Who it is for: CFOs, controllers, purchasing offices.

How it works

The machine works, the person decides

Every project follows the same thread: one step at a time, with a person approving before anything really changes.

  1. 1

    Data collection

    We start from the history you have: ERP, Excel, price lists and, when needed, market data.

  2. 2

    Building the model

    We calibrate the model and test it on the past (backtest) before using it on the future.

  3. 3

    The person decides

    Review with the decision makers

    We show the model's assumptions and limits to the people who will use it. They are the ones who validate the results.

  4. 4

    Dashboard and updates

    The model goes into a dashboard and updates with new data.

A real case

10,000 scenarios before putting a train on the tracks

A simulation that tries thousands of combinations of demand, delays and capacity before the decision.

All cases
real result

10,000

scenarios simulated to plan a rail service

Monte Carlo simulation

Intermodal logistics operator, 2025

real result

< 2 s

to recalculate the whole predictive dashboard

prices, demand and supply

Food and agri company, Italy

Titanium: Ask your company's data questions in Italian or English. Get a briefing, the figures and the right chart.

Related product

Titanium

The analyst that never sleeps.

For everyday questions there is Titanium: ask your data in Italian or English and receive a briefing, figures and a chart. It includes forecasts with backtesting.

Frequently asked questions · Intelligence & forecasting

The questions we get asked most often

How much data do I need for a reliable forecast?

It depends on what you want to forecast. In the free analysis we look at the history you have and tell you frankly whether it is enough.

What is the difference between a dashboard and a predictive model?

A dashboard shows what happened. A model estimates what will happen and lets you try different scenarios before you decide.

Can I trust the forecasts?

Every model is verified on past data and states its own margin of error. The decision stays with you.

What is a Monte Carlo simulation?

It is a method that repeats the same calculation thousands of times with different values of demand, timing and cost. The result is the range of possible outcomes, with their probability.

Do you also use external data?

Yes, when needed: market and commodity prices, for example. We combine them with your company's internal data.

Intelligence & forecasting

Have an idea in this field? Let us start there.

A free 30-minute call. You tell us where you lose time, we tell you what can be done and what it costs.