Travel Distribution Network

Location

USA

Industry

Client

The client is a leading tours & activities distribution network with headquarters in the US. By providing APIs and direct marketing tools to online travel companies, the company helps its customers to create and catalyze financial opportunities through a wide, yet targeted selection of tours and activities.

Challenge

The client’s objective was to extend the functionality of the distribution system through content personalization, providing end users with more flexibility in online bookings and content selection.

The clients key requirements for the project were to serve real-time recommendations as well as the integration with service supplier systems and the formation of a multi-source database for travel tours and activities.
The system was also created to generate recommendations based on users (recommendations are based on users with similar characteristics) or on items (recommendations are based on similar items, e.g. tours and travel activities).

Solution

DataArt implemented a unique personalized recommendation engine, which offers new tours and activities based on a traveler’s personalized interests. The system was also created to generate recommendations based on users (recommendations are based on users with similar characteristics) or on items (recommendations are based on similar items, e.g. tours and travel activities).

In addition, DataArt delivered a data import solution, which aggregates travel tours and activities from different travel suppliers’ websites, such as City-Discovery, into a single database. All data is then combined in one format and presented to the end users in a curated and comprehensive format.

Exemplary Screenshot from the Client’s Application

Key Features

E-commerce website and mobile app

Onsite Product Recommendations
Onsite Content Personalization
Segmentation & Insights
Facebook & Instagram Ads
Onsite Pop-ups
Personalized Email
In-Store Personalization
Mobile App Personalization
Product Recommendations on E-mails
Adaptive Design
Customising Recommendations
Tracking Performance
Advanced Analytic
Tour and activities data that comes from partner sites sale logs is gathered in the backend

Search functionality implementation

Personalization AI engine
Scalable real time search solution
Support for multi-tenancy
Track and micro-segment your visitors in real time
Show each visitor the right set of recommended product
Consistent experience across web, emails and mobile
match visitors with similar tastes

Data import solution & database management

Targeted travel activities for users
Extensive selection of travel offers
Search across large volumes of data by different criteria
Spark MLlib ALS-WR engine uses classification and a collaborative for processing the data and finding the recommendations.
In-memory cached data model and MongoDB storage

Service supplier system integration

Tour Managements System (Tour CMS)
Tours and Activities Distribution Systems:
- City-discovery
- Hotelbeds (Activity Content Integration)

Scoring mechanisms (Mohouts Rescorer)

Geo location, spherical law of cosines to check product relevance prejudice weather (eg. prefer in door locations because of weather conditions)
Position in the product category tree

Online Education Platforms Online Travel Marketplace Online Grocery Marketplace Online Healthcare Marketplace

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