D3x AI

Send automated requests for guest surveys and TripAdvisor reviews to boost your hotel’s online reputation.

Trigger recommendation campaigns to improve the hotel’s reputation on platforms like TripAdvisor or Google My Business.

Track purchases and placed upsell orders in a fulfillment dashboard and automatically update its status once fulfilled.

Set team objectives and track performance through response times, task completion rates, direct bookings, upsells, and guest ratings.

Customize goals and metrics to track for your team.

The ability for other systems to access the loyalty platform to issue, transfer, redeem, or exchange loyalty points/miles - this is not a fundamental requirement of a loyalty program, but increasingly desirable.

Create custom questions and fields to capture specific information from guests during online self-service checkin to customize your checkin flow.

Trigger messages when travelers show an interest in the booking request but the booking is not performed.

Push personalized messages on the website, through the chatbot widget, according to the specific page the user is visiting.

Configure the option of providing a direct phone contact in the chat conversation if the request is not being solved by the chatbot.

Display the price comparison range of direct bookings against OTAs.

Offer pre-check-in forms to the upcoming guests and minimize the time at the reception.

Communicate personalized room upgrade opportunities during the pre-arrival phase.

Send automated messages to communicate personalized upselling campaigns.

Create automatic notifications and digitalize repetitive administrative tasks.

Trigger recommendation campaigns to improve the hotel’s reputation on platforms like TripAdvisor or Google My Business.

Create specific campaigns for past guests offering special deals, boosting the hotel’s loyalty program.

Manage and distribute tasks across your team with one click.

Add tags and notes to user profiles for segmentation and personalization.

Analyze Big Data to create clusters and segments based on user patterns

Use Machine Learning models to predict business variables as sales, risks or trends