re:amaze (Live Chat+Messaging)

An artificially intelligent virtual assistant that guides guests through the booking request to increase the conversion rate.

Trigger messages when travellers 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.

Automate the email point of contact by offering a chatbot solution to solve queries instantly.

When the chatbot detects the need to hand the conversation off to a human agent, it allows for a seamless takeover.

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

Understand the travellers better and identify the potential customers that can generate higher revenue.

Display the price comparison range of direct bookings against OTAs.

Customize the chatbot interface accordingly to the hotel’s brand guidelines.

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.

Automate workflows that are triggered throughout the guest stay.

Configure to whom specific requests must be escalated or redirected when required.

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.

Access messages originating from various channels in this one-stop solution.

Jump straight to messages that need your attention and keep a clear overview.

Manage and distribute tasks across your team with one click.

Save time answering the most frequently asked questions with pre-filled responses.

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

Allow the control of multiple hotels from the same chain/group within the same account

Define when the interaction are 100% handled by the chatbot or when an human agent can take over

No limitations in terms of the number of human agents using the solution to manage tickets

Customize the chatbot interface accordingly to the hotel’s brand guidelines.

A technique used to determine whether data is positive, negative or neutral

Self-supervised learning for unlabeled data, removing the need for manually labelling

Understand the intent that is being requested by the user

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

Build comprehensive profiles of customers using AI techniques

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