Альтернативный текст

Year: 2025

Client: DataNetzBau GmbH

Client's Location: 🇩🇪

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Альтернативный текст

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AI-Powered Call Center for Appointment Scheduling

A solution designed specifically to handle the entire scheduling process for a company laying fiber-optic networks in Germany

How We Automated the Appointment Scheduling Process for Datanetzbau

Background

Datanetzbau is a company specializing in laying fiber-optic cables across Germany. Their work is divided into three stages: site survey, installation, and initialization. Each stage requires a separate appointment with the client.

Previously, this task was handled by a team of operators. They manually called clients, coordinated schedules, worked with the technical teams' availability, and recorded everything in Google Sheets. The process was labor-intensive and resource-heavy.

What We Did

We developed an AI-based system that automates the entire appointment scheduling cycle:

The first robot handles the prep work:

  • Connects to the company's portal via a virtual browser
  • Gathers client contact information
  • Sets up the context for further interactions

The second robot takes care of the communication:

  • Calls clients using natural language
  • Identifies the client’s location
  • Finds the nearest technical team using the Google Maps API
  • Checks the team’s available slots
  • Proposes appointment options to the client and confirms the details

After the call, the system:

  • Analyzes the conversation
  • Extracts key information
  • Organizes the data into the relevant sections of the company’s information system

Results

Instead of scattered Google Sheets, the company now has a unified appointment management system. Technicians and managers can view all necessary details in an easy-to-read dashboard:

  • Client data
  • Call recording and transcript
  • Time and address of the scheduled appointment
  • Other important order details

Automation freed up operators from routine calls, allowing them to focus on more complex tasks. The system runs 24/7, efficiently managing the workload across technical teams.

Thanks to our solution, Datanetzbau was able to optimize their workflows and improve customer service quality.

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