Three lessons from our AI projects
Over two years, we supported dozens of AI projects, from initial exploration to a model that runs every night. Some went exactly as planned; others…
Many organisations invest heavily in forecasting models, yet the results fall short. Inventory does not match demand, decisions are made ad hoc and the expected gains fail to materialise. The cause? Not the data, but the lack of the right approach. Models are built, but rarely aligned with how the business works in practice.
The better you can estimate demand, the better you can align your inventory with it. The right inventory 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 inventory. Too much inventory 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.
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 a 12-month period.
We tested four state-of-the-art forecasting techniques to find the best approach. Want to know which four we tested and how we did it? Read the blog post: Demand Forecasting with State-of-the-Art Forecasting Algorithms .
Combining these techniques delivered tangible gains:
The client gained a clearer grasp of demand patterns and can base decisions on data rather than assumptions.
Demand forecasting is no longer a theoretical exercise, but a strategic tool for decision-making.
With the right algorithms, configured for the realities of your organisation, you can turn demand forecasting from a black box into a driver of growth.
Demand forecasting is not just relevant to sectors such as aviation or manufacturing. In retail, it helps reduce waste through better inventory management, while 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 deliver the most value for your organisation?
We’d be happy to talk it through with you. Easily book a 30-minute conversation here.
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