Customer Service Automation

Chatbots and virtual assistants aren’t new, but they are often limited in what kinds of questions they can answer, or tasks they can manage. CloudFactory helps companies train their customer service algorithms to be more robust and conversational.

Businesses of all kinds need to scale their ability to handle customer requests. And the ability to handle requests at all hours is becoming even more important. Robust, well-trained chatbots and virtual assistants can support customer service functions by handling a variety of basic queries, minimizing the number of requests that need to be managed by staff members.

True Lark Finds Scale in Data Tagging

True Lark offers an AI-driven solution that can be trained to answer questions and make appointments 24/7. The solution is a virtual business assistant known as Sasha. The company has a goal of expanding the kinds of questions chatbots can answer and tasks they can manage before needing to kick the inquiry to a live person.

  • Review and tag conversations for noun recognition and time identification.
  • Determine if a certain word is an intended appointment time, an intended staff member, or specific service type. Then determine if a client is proposing, accepting or rejecting a time, or making a conditional request.

Read Client Case Study

TrueLark Finds Scale in Data Tagging

It’s hard for a company at our scale and stage to put resources into a task like this. Especially because there is churn in that workforce. People leave because it is repetitive and hard to keep them motivated, And so it is much easier with CloudFactory.

Srivatsan Laxman
CEO, True Lark

How CloudFactory Works For You

Expand Your Team

Expand Your Team

Our managed teams have served hundreds of clients across use cases that range from simple to complex.

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Quality at Scale

Our proven processes deliver quality data quickly and are designed to scale and change along with your needs.

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Use Any Tool

Flexible contract terms and pricing help you to get started quickly and to scale up and down as needed with no lock-in.

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