Why Duetto is connecting a hotel’s room price to the money left from a stay

Duetto wants hotel pricing software to see the costs behind an occupied room. On 8 October, it announced the acquisition of FLYR Hospitality, whose AI pricing engine it describes as modelling multiple demand scenarios and refreshing rates in real time. Its planned next step is to combine those capabilities with profitability data from HotStats, which Duetto acquired in 2025.[1]

The ambition has a large prospective customer base. On 15 October, Duetto announced a rollout covering more than 930 B&B Hotels properties in 19 countries. The release says the hotel group wants consistent revenue management across its estate and is evaluating a fuller view of revenue and profit. It describes an integration ahead, with pricing and forecasting informed by operating costs.[2]

A higher rate can leave less behind

HotStats, now part of Duetto, makes the commercial distinction concrete: a guest’s value depends on the cost of acquiring the booking and the contribution from other spending during the stay. A higher room rate through a third party can be less attractive than a lower direct rate. The channel and the costs belong in the comparison.[3]

The lower rate leaves $12.45 more toward the hotel’s fixed costs and profit. This is a booking-level contribution calculation, not the hotel’s operating profit: rent, permanent staffing and other costs still have to be covered. Nor does the example establish a general rule that direct bookings are always better. Its result follows from the particular prices and costs supplied.

The better booking also has to arrive

Now change one assumption. The third-party booking is available today, but the direct booking may never come. Suppose declining the first offer leaves only that possible direct booking, with zero contribution if the room stays empty. The chance of landing it must exceed about 90% to beat the certain $112.60. At an illustrative 80% chance, expected contribution is just $100.04: 0.80 multiplied by $125.05.

That is where a demand forecast matters to the profit calculation. A manager needs an estimate of what may arrive before the room’s night passes, as well as the margin if it does. A model can improve the estimate; the target it is asked to pursue still determines which offer looks attractive. Optimising the visible room rate alone would miss the costs in the first comparison and the uncertainty in the second.

Duetto’s existing Open Pricing approach provides a way to act on differences in demand. Its documentation describes setting prices independently by guest segment, sales channel and room type, instead of moving them all by fixed offsets from one base rate. In that design, a discount for a weak segment need not force an equivalent change in a stronger one.[4]

FLYR’s scenario modelling and HotStats’ cost information are therefore useful complements in Duetto’s proposed product. The acquisition announcement does not report a measured profit lift from their combined use. The business case is the decision they could support: choosing a price with both the money retained from a stay and the likelihood of selling that room in view.[1]

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