Travel & Tour Package App Development
Our client is a travel automation startup in the travel and tourism industry. The client wanted an MVP to go with their presentation.
The client wanted to create a travel and tourism app with integrated automation as their MVP, and they chose Impala Intech for the project.
Client’s Goal - Making Tourism Convenient With An MVP
Our client is a travel automation startup in the travel and tourism industry. The client wanted an MVP to go with their presentation.
The client wanted to create a travel and tourism app with integrated automation as their MVP, and they chose Impala Intech for the project.
The Challenge for Impala
Business Challenges
- Creating a viable and feasible MVP
- Showcasing strong core features
- Keeping scalability in mind for future improvement through adding more features
Technical Challenges
- Creating an appealing UI/UX design for driving user engagement
- Architecturing Big Data Injection
- Implementing ML modules
- Extending functionality and simplifying user journey through the modules
How Impala Intech Made it Possible
Big Data Platform
The big data platform allowed us to focus on the client objective while keeping future scalability in mind. The platform also allowed us to finish the project within a limited budget and shorter timeframe
Machine Learning Platform
The machine learning algorithms are designed to deliver unique pricing trend predictions. The highly optimized training process ensures that the time for hypothesis testing for the system is reduced from 2-3 hours to 5-10 minutes
Recommendation Generator
The solution has a smart and simple Machine Learning model for generating travel recommendations
Operational Cost Reduction
To lower online booking solution infrastructure costs while staying within the same performance KPIs, we Migrated the product infrastructure to DigitalOcean
Iterative Testing
We applied GitOps practice (Terraform + Helm3 + GitLab CI) enabling small teams to deliver the product increments to test & production servers.
Our Tech Stack
AWS
Google Dataproc
Hive
Java
Python
React
Microsoft SQL Server
Terraform
Helm
GitLab CI
The Success of Our Solution
The data platform and infrastructure required 30% less maintenance costs due to the upgrade we performed. The machine learning features of the solution offer more personalized offers and price forecasting for clients.
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