Case Study

Increasing a travel company's revenue by 1.5x with a dynamic pricing machine learning solution

ClientIndustrySolution ProvidedTechnologies Used
Luxury travel companyConsumer & eCommerceData & AIDatabricks, Unity Catalog, Notebooks, Workloads and Jobs, MLOps, ML-integrated services

The Challenge

This subscription-based travel & hospitality company provides access to luxury vacation rentals and curated experiences for 6,000+ daily subscribers worldwide. However, its rigid, manual pricing structure prevented the client from extracting maximum value from its subscription model, resulting in potential revenue losses and a flawed loyalty program experience for customers.

The client also suffered from a lack of data centralization, leading to company analysts, engineers, and stakeholders facing restricted access to data, long wait times for reports, and frequent data inaccuracies. Finally, the client had incomplete knowledge of customer churn rate, leading to gaps in its customer retention strategy.

The Gorilla Logic Approach

With deep experience in building Data & AI solutions, Gorilla Logic's consultants implemented the following solutions:

  • Migrated from Informatica to Databricks, building an entirely new data platform 
  • Provided centralized access and governance to company data using Unity Catalog, enabling faster, more accurate decision-making for 100+ analysts and engineers
  • Implemented Notebooks to provide real-time coauthoring, automatic versioning, and self-service data analysis capabilities
  • Simplified data engineering with robust ETL processes using Workloads and Jobs 
  • Automated and optimized MLOps with mlflow and ML-integrated services 
  • Deployed a churn model to help the client better understand, prepare for, and react to subscriber behaviors and establish more effective customer retention strategies

Business Outcomes

In an ongoing partnership, these efforts are resulting in:

Increased Revenue: On track to increase revenue by 1.5x by building and maintaining dynamic pricing and customer loyalty machine learning solutions

Cost Savings: Reduced labor costs associated with manual pricing of vacation rentals and experiences, and migrated to a more cost-effective data platform

Data Democratization: Enabled faster and more accurate decision-making for 100+ employees by providing centralized access to company data

 

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