BCD WTS Case Study | EN | Enterprise Bot

Business Travel, Automated: How BCD WTS Enhances Support for Travelers and Admins

BCD WTS’s AI-powered email bot and agent assist tool streamline internal operations and reduce manual workload

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About BCD WTS

BCD WTS is a global business travel management company operating in 170+ countries. It offers personalized travel solutions, combining local expertise with global scale – including booking tools, duty of care, and data analytics tailored to mid-market companies.

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Objective Classify and streamline incoming email queries and improve agent efficiency

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Solution AI-powered email bot and agent assist tool

About Rhein-Main-Verkehrsverbund

The Rhein-Main-Verkehrsverbund (RMV) is one of the largest public transport networks in Germany, covering the Frankfurt Rhine-Main area. RMV operates a comprehensive network of regional rail services, buses, trams, and commuter trains, serving over 800 million passengers annually. As a key player in public transportation, RMV is dedicated to improving passenger experiences through digital innovation.

To achieve this, RMV partnered with Enterprise Bot and ACP Digital to implement a scalable, AI-powered support solution.

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Client: Rhein-Main-Verkehrsverbund (RMV)

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Solution: AI-powered Chatbot, Email Bot, and Voice Bot (upcoming)

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Objective: Improve customer service efficiency, reduce redundant queries, and enhance agent productivity

The Challenge

With thousands of trips managed across regions and time zones, BCD WTS needed a way to reduce the manual processing of incoming support emails and increase internal handling speed.

  1. High volume of email queries from travelers and clients
  2. Time-intensive manual classification and routing by support staff
  3. Agents lacked a streamlined way to access relevant information for faster resolution

The Challenge

RMV faced increasing pressure on its customer service teams due to:

High volumes of repetitive inquiries overwhelming support agents

Email overload with agents manually reviewing and classifying messages

Delayed response times impacting passenger satisfaction

With growing passenger demand and expanding services, RMV sought an innovative solution to automate and streamline customer support processes.

The Solution: AI-Powered Email Bot & Agent Assist Window

Enterprise Bot developed a solution comprising two components:

Key Capabilities:

What our customer says

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“The solution helps our agents handle incoming emails with greater speed and accuracy. It’s not just automation — it’s intelligent assistance.”

Colin Kelly

Implementation Journey

Implementation Journey

Future Outlook

Future Outlook

Key Results & Impact

100%

intent classification accuracy across defined use cases

97.2%

entity recognition accuracy (e.g., flight, hotel, car booking data)

21.4%

of incoming email queries fully automated within 3 months

Improved internal process consistency and handling speed

Scalable rollout across multiple countries and user teams

Ready for the future of customer interaction?

Book a Demo Now

Ready for the future of customer interaction?

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