Recommendation Engine

The Recommendation Engine uses AI to analyse user inputs such as where, when, who, and what to surface the most suitable products. By continuously learning from user behaviour and preferences, it delivers highly targeted suggestions that drive engagement. This capability is essential for both storefronts and agent portals, ensuring that every user receives recommendations tailored to their unique needs.

Key Benefits

• Personalised Experiences: Each consumer receives recommendations that match their destination, travel dates, group size, and interests.

• Increased Conversion: Relevant suggestions drive higher booking rates and repeat engagement.

• Effortless Integration: Your team requires minimal effort to provide the necessary information.

• Continuous Optimisation: The system learns from consumer interactions, making recommendations smarter and more effective over time.

• Real-Time Accuracy: Recommendations and communications are always based on the most current data, ensuring relevance at every stage.

How It Works

1. Trip Data Collection:
   When a consumer makes a booking or shares their travel details, you provide us with their trip information, such as destination, travel dates, group size, and any special requirements. This can be done either automatically at the time of booking or when the consumer interacts with your platform.

2. Real-Time Updates:
   Consumer trip data is updated in real time. Whenever a booking is created, updated, or cancelled, the information is immediately reflected in our system. This ensures that recommendations and communications are always based on the latest available data.

3. Personalisation:
   Using the most up-to-date trip information, our system generates a unique experience for each consumer. The most relevant products and activities are presented, tailored to their specific needs and preferences.

4. Dynamic Recommendations:
   As consumers interact with the platform, browsing, clicking, or booking, recommendations are updated instantly to reflect their interests and actions.

5. Seamless Delivery:
   Recommendations are delivered to consumers through multiple channels, ensuring they receive timely and relevant suggestions wherever they are in their journey.

Channels for Delivering Recommendations

Recommendations can be delivered to consumers through the following channels:

• Website (Storefront): Consumers receive personalised suggestions directly on your website.

• Agent Portal: Agents can view and share recommendations with consumers during conversations or bookings.

• Messaging Platforms: Recommendations can be sent via SMS, WhatsApp, or other supported messaging services.

This multi-channel approach ensures that recommendations reach consumers most effectively and conveniently, supporting both direct agent interactions and automated communications.

Partners' Action

• Share Accurate Trip Details:
  Ensure that all relevant trip information is provided for each consumer, including destination, dates, group size, and any special requirements.

• Engage with Recommendations:
  Use the suggested products and activities to guide your conversations and marketing efforts with consumers.

• Monitor Performance:
  Review results and feedback to understand what resonates with your consumers and identify opportunities for improvement.

Additional Notes

• The Recommendation Engine adapts to new data and consumer behaviours, so the more accurate and timely the information, the better the results.

• All consumer data is handled securely and in line with data protection standards.

• No technical setup is required from your side beyond sharing the necessary trip details.

Support / Questions

If you have any questions or require assistance, please contact our support team through your usual channels. We are here to help you and your consumers get the most out of the Recommendation Engine.