Arbitrip

A travel technology company that simplifies hotel booking for business travelers.

DOMAIN

Travel

about the client

Arbitrip is an intelligent business hotel booking tool with search personalization that gives tailored room recommendations based on users' activity and travel plans. Arbitrip works with the leading hotel chains and distribution partners to ensure the best price for their customers. The platform uses AI and machine learning technology. Due to objective analysis, data analysis, and personalization, Arbitrip users' costs are reduced by more than 23 percent.

TECHNOLOGY

Node.js
Express.js
Mongodb
React.js

Firebase
AWS
GCP (for BigQuery)

Client’s brief

Develop a responsive mobile web app referencing already existing web one
Deal replications across third-party integrations
Provide lower prices for Edwardian Hotels
Create advanced data logs for monitoring and analysis
Develop functionality to manage company travel policies
Introduce additional user roles to enhance access levels

Challenges & Solutions

Management of travel policy for reservation restriction

With an old solution, companies found it challenging to tailor the booking process and customize options according to their requirements.

We designed and implemented a new approach that allows companies to manage travel options seamlessly. Managers have customizable options, allowing companies to set and enforce travel policies. It is based on their unique preferences and budget, i.e., the maximum permitted price to book per country or city. It helps reduce uncertainties in financial planning due to precise price conversion.

Full application redesign

We implemented a new UI of the web application and improved the UX.

Providing lower prices

Our customers always needed to provide lower prices for the hotel rooms.

We implemented integration with some vendors. It allowed us to receive competitive prices for many hotel groups, such as Edwardian Hotels, for the app`s users and increased the available hotel count in the Asia region.

Suppliers' big query table

We implemented the suppliers' big query table to store and search through data. It allowed our client to analyze user journeys and improve system monitoring.

We also normalized and structured the received data across all the apps and integrations, ensuring uniformity and eliminating potential discrepancies.

Suggestion algorithm

The best deals suggestion algorithm has places for improvements, such as an issue with duplicate options. It slowed down the app's performance and affected the user's experience.

We implemented several enhancements to the algorithm's core, addressing issues with weak points and increasing its overall reliability. It allowed the system to present users with the best deal out of a group.

Results

The app has been upgraded and has become more stable and responsive, with all the needed functionality.

We implemented all required third-party integrations. All impactful data structure discrepancies were found and fixed.

We added the ability to create/edit/remove travel policies, change the default policy price, and manually select any policy to apply to the search flow.