Fuel procurement in an unpredictable world

Every procurement manager knows the moment. It arrives by email, mid-morning: the supplier announces a 7-9% price increase effective the first of the month. You have ten days to decide. The tank is at 40%. In the background, tensions on Middle East energy routes. Most companies face this moment with purchase history, a framework agreement, the manager's experience. The problem is not a lack of information. It is that the decision framework looks backwards.

We analysed eleven years of diesel prices in Italy, mapping every significant disruption and the drivers that anticipated it. What emerges changes the way you look at this cost line.

From 2015 to today, every major disruption in Italian diesel prices had an origin that was identifiable and readable in upstream markets 2-4 weeks before transmission to consumer prices. This is not a consolation: it means the signal existed, and that those monitoring it had a window to act.

Take 2022. Brent moved from $86 to $130 per barrel in twelve weeks on the Ukrainian invasion. Diesel reached €1.99 per litre, the decade's high. But European gas futures were signalling energy stress as early as November 2021, four months before the peak. Those who had those indicators in their decision process had time to act. Those managing their tank at minimum threshold bought at the peak.

It is not an isolated case. In the Bab el-Mandeb crisis of 2023-2024, price increase notices reached customers with 48-96 hours of warning — but the rerouting of tankers around the Cape of Good Hope was visible in shipping routes weeks earlier. In Q1 2026, tensions at the Strait of Hormuz produce 4-8% spikes on Brent within 72 hours. Transmission to consumer prices follows 7-10 days later.

In eight out of eleven years, intra-annual price swings exceeded 15 cents per litre. In seven of those eight years, an anticipatory signal existed in upstream markets. The problem was never the availability of the signal. It was that nobody was watching it with a method.

At Vedrai Observatory we simulated the impact of a structured versus reactive approach across eleven years of real data, in four fuel-intensive sectors: transport, construction, waste management, and industrial agriculture. The differential is not marginal. And in the three hardest years of the decade, it coincides precisely with the phases when margins and liquidity were already under pressure for other reasons.

The cost of reactive procurement does not appear as an error in the income statement. It appears as an unavoidable cost. That is the distortion the data makes visible — and the one that a structured approach systematically eliminates.