01
Overview
I Need Tours is a fast-growing travel and tour management company offering curated travel experiences across Europe. With thousands of bookings monthly and a rapidly expanding customer base, the company relies heavily on digital platforms to manage itineraries, customer support, and partner integrations.
To overcome challenges with system slowdowns, inconsistent analytics, and high cloud operational costs, I Need Tours partnered with Solverix, leveraging their deep expertise in cloud optimization, data engineering, and AI-driven analytics.
I Need Tours now enjoys streamlined data pipelines, faster reporting, and a scalable infrastructure that keeps operational costs in check while enhancing the end-to-end travel experience for customers.
02
Solution Aproach
I Need Tours faced issues with slow reporting dashboards and data latency in customer itinerary updates, particularly during high-traffic periods. Solverix conducted a comprehensive assessment of their cloud infrastructure and data flows.
Solverix identified bottlenecks in the company’s legacy data processing pipelines and uncovered inefficient cloud resource allocation. The solution involved re-architecting their data workflows using Apache Spark for parallel processing, implementing intelligent caching strategies, and right-sizing AWS services for cost efficiency.
Solverix also integrated AI-based demand forecasting tools, allowing I Need Tours to anticipate booking spikes and dynamically scale resources, ensuring a smooth and personalized user experience.
03
Technologies used
Amazon Redshift
AWS Lambda
Apache Spark
Amazon S3
Amazon CloudWatch
AI-based Forecasting Engine
04
Key Outcomes
The main results and improvements achieved through our technical solutions.
5x faster analytics and reporting through optimized Spark-based data pipelines.
30% reduction in cloud expenditure via intelligent resource provisioning and storage management.
Real-time itinerary synchronization, boosting customer experience and operational accuracy.
Forecast-driven scaling, ensuring platform stability during booking surges.
Internal teams freed from firefighting, allowing greater focus on product innovation and customer engagement.
Key statistics
Data Processing Speed
Our Projects
Answers
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