Demand forecasting that works

Heavy investment, little return

Many organisations invest heavily in forecasting models, yet the results fall short. Stock levels do not match demand, decisions are made ad hoc and the expected gains never materialise. The reason? Not the data, but the lack of the right approach. Models are built, but rarely aligned with how the business actually works.

Why is demand forecasting so important?

The better you can estimate demand, the better you can align your stock with it. The right stock levels are crucial to a well-functioning business. Without a clear understanding of why demand develops as it does, forecasting remains a guess dressed up in statistics. We saw this first-hand in the aviation sector, where margins are tight and millions are tied up in stock. Too much stock ties up capital; too little brings operations to a halt. Finding the balance takes more than a model: it takes the right techniques, aligned with the business.

The solution

For our client in the aviation sector, we developed a demand forecasting model that predicts demand for products used in sales, repair and maintenance over 12 months.
We tested four state-of-the-art forecasting techniques to find the best approach. Want to know which four and how we tested them? Read the blog: Demand Forecasting with State-of-the-Art Forecasting Algorithms .

The result

Combining these techniques delivered tangible gains:

• Fewer ad hoc decisions;
• Lower stock levels without risking deliveries;
• Greater confidence in the figures thanks to transparent forecast ranges.

The client gained a clearer understanding of demand patterns and can now base decisions on data rather than assumptions.

Demand forecasting for growth

Demand forecasting is no longer a theoretical exercise but a strategic tool for decision-making.
With the right algorithms, adapted to the realities of your organisation, you can turn demand forecasting from a black box into a driver of growth.

Demand forecasting is not only relevant to sectors such as aviation or manufacturing. In retail, it helps reduce waste through better inventory management. In the energy sector, for example, it supports more stable planning and lower operating costs. In short, wherever supply and demand need to meet, forecasting can make a difference.

Want to know which forecasting approach will bring the most value to your organisation?
We’d be happy to talk it through with you. Easily book a 30-minute conversation here.

Read how we build forecasts and predictive models, from the initial question to using the model in planning, at forecasting and predictive models.