Problem

Vacation rental concierge services in Paris face several business challenges, including predicting demand, hiring staff, and remaining competitive in the market. These challenges can lead to reduced revenue and increased costs, making it difficult for these businesses to thrive.

One of the biggest issues is predicting demand accurately. Without accurate predictions, concierge services may not have enough staff on hand to meet demand or may have too many staff during slow periods, leading to unnecessary costs. Additionally, pricing strategies can be difficult to optimize without a clear understanding of demand trends.

Solution

To address these challenges, we developed a Tableau dashboard that integrates Airbnb data to forecast demand and optimize operations. The dashboard provides concierge services with tools to reduce costs, increase revenue, and improve pricing strategies.

We collected data from InsideAirbnb's dataset and Paris's open data on events to analyze the market. Extensive data cleaning using Python ensured accurate insights and dashboards. We used Tableau to create a dynamic dashboard showing demand, pricing, and trends across neighborhoods.

Impact

Improved revenue by 16%

"This project had an incredible impact on our business operations. The Tableau dashboard allowed us to make data-driven decisions that improved our bottom line."

Tableau Dashboard Boosts Paris Rental Concierge Revenue