FORECASTING AND SIMULATION

We apply sophisticated modelling and simulation to predict future outcomes and assess how strategic changes could transform your business.

What is Forecasting?

Forecasting is the process of making informed predictions about future outcomes, such as sales, demand, or market growth.
It helps businesses anticipate change, prepare for opportunities, and minimise risk.

What is Forecasting and Simulation?

We use advanced statistical and AI-driven models to predict what will happen to your business in the future and to explore what could happen under different scenarios.
These tools help organisations plan more confidently, test ideas before implementation, and make data-backed strategic decisions.

We have applied forecasting and simulation to identify fashion trends, prevent the spread of COVID-19 in hospitals, evaluate biotech project feasibility, and analyse the dynamics of the online automotive industry.

When is it needed?

How does it work?

Forecasting is essential for business planning, but its applications extend far beyond that. It can be used to:

• Identify emerging consumer trends.

• Predict when a market will reach saturation.

• Estimate future demand for public or private services.

The quality of a forecast depends on finding the most reliable way to project patterns into the future. We typically:

• Detect patterns in historical data and project them forward using statistical models.

• Use leading indicators to anticipate future outcomes.

• Incorporate correlated variables and external factors to strengthen prediction accuracy.
  Often, these methods are combined into one integrated forecasting framework.

What is Simulation?

Simulation involves creating computer-based models that replicate how real-world systems evolve over time.
We simulate complex environments such as markets, hospitals, or online customer behaviour to explore how specific actions or changes could affect future outcomes.

When is it needed?

Simulation helps organisations understand the potential impact of decisions before they are made.
It is particularly valuable when:

• Small changes can lead to large long-term effects.

• Systems are complex, interconnected, or contain feedback loops.

• Strategic decisions need to be tested under different scenarios.

For instance, in fast-growing markets, small early decisions can determine which companies dominate or how long growth will last. Simulations reveal which choices truly matter and when they matter most.

How does it work?

For human-centred systems, we use agent-based modelling to replicate individual behaviours and interactions.
For simpler or structured systems, we use system dynamics modelling to map and predict overall trends and feedback effects.

Where have we used it?

We have successfully applied forecasting and simulation in sectors such as fashion, healthcare, biotechnology, and online retail — helping our clients anticipate change, test strategies, and achieve measurable impact.