Case Studies
Travel Aggregator
Here's an in-depth analysis of our critical overhaul of web & app for a heavy-user travel aggregator.
Primary Objectives
- Develop streamlined, integrated systems for improved UX and revenue
- Implement advanced predictive analytics for precise demand forecasting and resource allocation.
- Utilize sentiment analysis and NLP to extract insights from feedbacks
- Optimize decision-making processes and data use to reduce costs and delays
Achieved Outcomes
- An impressive 20% reduction in booking processing time and a 15% increase in revenue generation within the first quarter
- A remarkable 23% decrease in overbooked flights and a 8% reduction in excess room inventory
- The result was a significant, 18% increase in customer satisfaction scores and a 14% reduction in customer complaints within the first six months.
- One third reduction in operational costs solidified our client’s competitive edge in the industry.
