case study

TravelBird refines travel advisor interactions using artificial intelligence

The decision to adopt machine learning systems follows growth in the number of customer queries the company handles, some 900,000 incoming questions annually it says, in 11 languages by email, phone, social media and SMS.


DigitalGenius - Human+AI™ Customer Service

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TravelBird has become the latest travel company to adopt artificial intelligence for customer service through a partnership with DigitalGenius.

The new predictive customer care system, which will reside in the company’s Zendesk customer platform, will use AI to refine and expedite customer support response.

The decision to adopt machine learning systems follows growth in the number of customer queries the company handles, some 900,000 incoming questions annually it says, in 11 languages by email, phone, social media and SMS.

"We want to better serve our travelers every day, which means quick response times for traveller queries and personalized service. With our partnership with DigitalGenius, we let computers do what they do best and leave the work involving real human connection to our experts."
Symen Jansma
CEO and Founder

The DigitalGenius system is an add-on to CRM systems like Salesforce or Zendesk, which makes it relatively fast and easy for companies to adopt. The system focuses on optimizing text interactions, and offering agents text-based guides when handling customer matters.

"Companies that want to leverage AI can train on the historical customer service transcripts, tickets and conversation logs that already took place between human agents and human customers.

By using deep learning, specifically focused on converting language transcripts to mathematical representations of language called word vectors, and using the mathematical representation of those chat logs to train a model that can make predictions for customer service.

It takes historical conversation records on text-based channels like email web support, live chat, SMS, Facebook Messenger, and Twitter. It helps support team handle increased volumes.”"

Mikhail Naumov
Co-founder and CSO

Naumov says that adopting these deep learning AI systems can enhance the effectiveness and job satisfaction of customer service agents.

"The reality is that the way AI is used today it will assist and empower human agents to be better and more efficient. Of course, that means that there is some automation that is involved, but it is done in such a way that it is seamless and makes a good experience for the end customer."
Mikhail Naumov
Co-founder and CSO

While the DigitalGenius system is currently text-based without a voice processing component, which Naumov says keeps step with the customer trend of relying more on text-based response.

He says that a recent study by the Everest Group shows that growth of non-voice customer service is at 35%, while the growth of voice conversations is stable to moderate.

"I think that voice will always be important, however companies have to adapt and be able to talk to their customers where their customers are."
Mikhail Naumov
Co-founder and CSO

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Frequently Asked Questions

To get started, we prepared a list of questions to help you learn more about our product and our company.

How do I use DigitalGenius inside my contact center operation?

DigitalGenius is installed as a layer into your existing customer service software (Salesforce, Zendesk, etc). We will take you through an onboarding experience from installing the app, to training and deploying your first AI Model. Once the app is configured and the model is trained, you can onboard your agents, and begin using the tool to reduce AHT, support increasing volumes and open up new communication channels like Facebook Messenger, Live Chat and SMS.

What processes does DigitalGenius automate?

1. DigitalGenius predicts and automates the meta-data tagging process, from assigning tags, case details information and routing cases to appropriate team members.

2. DigitalGenius predicts answers to incoming messages, and suggests them to agents for approval or personalization.

3. If the predicted answers fall above a certain confidence level, those responses can be automated.

How safe is the customer data?

DigitalGenius has developed and implemented policies and technologies to ensure that confidential data is protected and managed securely. DigitalGenius applications are compliant with The US Data Protection Act and other similar international, regional and local legislation.

Your personal information will remain private.

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