Hospitality

Context

Hotel occupancy can be optimised, particularly during slower seasons. Predicting demand means you have the staffing you need.

Challenges

How can I generate and manage additional traffic? How do I know which room occupancy I'll have in 15 days?

Available Data

Multiple data sources : Infor, Mews, LightSpeed

KPIs

11 segments

Types of rooms

97%

Predictor predictions

16 segments

Geographic origins

1 day follow-up

of booking

Context

The B2B share of hotel occupancy is fairly high and lowers REVPAR compared with B2C sales.

Challenges

How to raise direct demand ?

Available Data

Multiple data sources : Infor, Mews, LightSpeed

KPIs

1 management

of marketing operations

+20%

B2C nights

1 fine-tuned

targeting of clients

(who, when, how)

1 ROI

tracking by target

Context

When setting the price scale, you need to be aware of the potential loss of customers in case of rising prices

Challenges

How can we maintain growth and increase profitability? How do you know if you can raise prices?

Available Data

Multiple data sources : Infor, Mews, LightSpeed

KPIs

1 accurate measure

of price-sensitivity

+15%

REVPAR

1 accurate measure

of willingness to pay

+10%

ADR