Chatbot and Callbot

Automate repetitive and low-value-added tasks, qualify your requests prior to contact, create 24/7 continuous availability and improve your responsiveness within your contact center thanks to AI.

chatbot et callbot

Reduced waiting time

Immediate bot support to qualify your customers’ requests.

Agent support

Assist the agent in qualifying the request (file number, intent, etc.).

Cost reduction

Reduce the number of calls to your contact center.

Customer satisfaction

Quick response to requests with enhanced customization

Offer continuous customer service

Offer seamless customer service with intuitive chatbots and callbots that understand and respond effectively to your customers’ needs. They are available 24/7, enabling your customers to access different information at any time of day on a self-service basis.

Automate low value-added requests

Relieve advisors of low value-added tasks, by automating responses (bank balance, invoice information, making appointments…). They enable your agents to concentrate on interactions requiring more expertise or human contact. This improves the fluidity and efficiency of the customer experience.

Support your agents with AI

Support your agents with contextual or customer data such as profile, addresses and locations, dates. The callbot or chatbot collects this contextual data and the customer’s intentions before making contact, and then presents it to the agent.

Personalize customer requests

All conversations between your customers and your virtual assistant are accessible in our tool. This allows you to take a continuous improvement approach with your chatbot / callbot, and to have a complete vision of your customers’ expectations, to provide more personalization and to suggest areas for improvement!

Functional detail

Multichannel

Virtual assistants on voice or digital channels.

Available 24/7

Customer service around the clock, including weekends and public holidays.

Synchronous

No latency thanks to classic AI

Multilingual

Adapts to customers’ languages, whatever the country.

Customized voice

Thanks to generative AI, give preference to personalized, human voices.

Hybrid

Easy climbing between a virtual agent and a human agent.

Based on Generative AI

Fast learning curve thanks to generative AI.

Rapid deployment

Integrated into the contact center solution, it can be easily deployed across all channels.

Multiple use cases

Appointments, balance requests, billing, call qualification…

Eloquant, your Customer Experience cloud platform

A unified, centralized platform to manage, orchestrate, measure and analyze conversations with your customers. Listen to the voice of your customers and act in real time on the drivers of satisfaction or dissatisfaction to improve the Customer Experience.

Case studies

Because our customers say it best…

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White papers

Read our latest white papers to discover our tips and best practices.

Contact us

Are you intrigued? Need to know more before taking the plunge?

Any questions?

What is a callbot?

A callbot is a virtual agent capable of understanding a customer’s needs and responding to them using natural language. It interacts with customers in a qualification phase by asking questions, then directs customers/users or performs low value-added tasks in various scenarios of the customer journey. Callbots use technologies such as voice recognition, natural language processing (NLP) and artificial intelligence (AI).

What are the advantages and benefits of having a callbot in my contact center?

Callbot implementation has many advantages, such as the ability to offer 24/7 continuous availability, to respond immediately to frequent and low-value-added questions, freeing up employees for more complex tasks. Benefits include improved customer experience thanks to more efficient management of customer requests, and reduced operational costs.

What languages can I use my callbot in?

Eloquant’s callbot is multilingual. It may be available in as many as ten languages. Its ability to function in a specific language depends on the amount of training data available.

How does callbot integration work in a customer journey and with my business tools?

Setting up a callbot is a project in its own right, and requires a number of steps to ensure a successful experience.

  • Analyze needs and use cases: identify the use cases and tasks in the customer journey that the callbot will have to handle.
  • Prefer a solution that is directly integrated into your contact center, can handle orchestration and already integrates well with the company’s existing systems.
  • Configure, train and customize the callbot: with dialog scripts and training on phrases specific to your business use cases.
  • Integrate with existing systems: databases, CRM, and other IT systems so that it can access and manipulate the right information to provide relevant answers to customers.
  • Test, deploy and optimize: test the callbot’s various responses under real-life conditions and adjust its configuration as necessary before full deployment. Check its performance to ensure continuous optimization.
How many simultaneous calls can a callbot handle?

Yes, a callbot can handle a multitude of calls simultaneously. It’s not limited to one conversation like a contact center agent. It is therefore highly effective in handling peak customer service requests and traffic.

The callbot doesn't know how to respond. How does it react?

When setting up a callbot, you will be advised to propose so-called bypass responses:

  • Escalate the conversation to an advisor or other support channel.
  • Propose a reminder, which will give an advisor time to search for the information.
  • Direct customers to an FAQ where they can find a self-service answer.
  • In the ongoing callbot optimization phase, it will be possible to enrich the answers in the knowledge base.
Can we personalize and contextualize the responses provided by the callbot?

The Artificial Intelligence on which the callbot is based enables dialog scripts to personalize the answers given, insofar as it has access to contextual information: customer file, business data, history of previous exchanges…. Generative AI also makes it possible to standardize the tone of voice to match the corporate image.

What are the main success stories of callbot deployment in a contact center?

A callbot can be adapted to any business sector. It’s important to identify the business use cases in the customer journey beforehand, to ensure that it’s the most effective and a source of ROI. Use cases include :

  • Request statements, account balances or billing amounts: instant access to your banking information.
  • Appointment scheduling and cancellation: autonomous appointment management.
  • Order tracking and delivery dates
  • Stay information and ticket dispatch: receive and obtain details of your planned stay, or ticket dispatch.