Across various experiences

Context

How do we boost attendance to enhance the cross sales and visits on the other Chateau La Coste POIs.

Challenges

How do we generate additional attendance, predict it and pilot it? Enhance local site awareness to have a local source of visitors.

Available Data

Multiple data sources: Lightspeed, Checkfront

KPIs

16 segments

B2B/B2C

97% reliability

Predictor predictions

41 M

Enriched

Data points

41 M

Enriched

Data points

Context

Optimisation of the summer season capacities boosted with Rocket predictions (including weather forecast to 2 sensitive restaurants).

Challenges

How to predict each service number of PAX? How to daily calibrate and adjust my staff, per restaurant and per service (lunch and dinner)?

Available Data

Multiple data sources: LightSpeed, The Fork

KPIs

2 master scenarios

to manage attendance

1 strategy

to serve clients satisfaction

5 daily predictions

Each restaurant

(lunch and dinner)

Context

A 80% occupation rate in high-season with the highest RevPar of the year.

Challenges

How to attract guests to the other site POIs? How to maintain the exclusivity spirit of the Villa while boosting sales along the whole season?

Available Data

Multiple data sources: Mews, LightSpeed, Opera

KPIs

16 segments

geographic-origin based

+24%

revenue on the hospitality flow

+24%

revenue on the hospitality flow

Multi-experiece