The power of prediction
To optimize operations, we addressed the uncertainty of the timed race. We designed the Lap Estimate Optimizer (LEO), an AI-powered scenario engine, to quickly and accurately predict the number of laps in a race. LEO assesses in real time how thousands of possible race situations – such as adverse weather, crashes, red flags, changing track conditions, and more – can impact the total number of laps remaining in a race.
With the predictive insight of knowing how many laps are still ahead at any moment in the race, the team can decide how best to approach turns and overtakes, when to use attack mode, and how to balance speed and battery consumption.
The team has found that LEO can predict the lap numbers ahead of its more classic methods and works particularly well in the extreme weather conditions drivers often face. In Paris, for example, where it rained – and hailed – and in Santiago, a very hot race, LEO settled on the right number many laps earlier, providing a huge advantage.
LEO's benefits go far beyond a Formula E city track. Think of a consumer goods company, for example. With accurate predictions, it can make real-time decisions on market demands that reduce costly stockpiles and delivery delays. Such an agile supply chain can adapt to every scenario.