AI Avatar at the 141st German Congress of Surgery

Case Studies /  German Congress of Surgery (DCK 2024)

HEALTHCARE · CONFERENCE OPERATIONS

Automating session guidance and visitor support at Germany’s largest surgical congress

The 141st Congress of the German Society of Surgery runs four days with hundreds of parallel sessions, thousands of attendees, and a packed exhibition floor. Finding the right session, checking schedule changes, and navigating the venue was a constant challenge – handled by information desks that couldn’t keep up during peak hours. We deployed an AI-powered assistant that handled these tasks through real-time voice conversation, available continuously across both a large screen kiosk and a VR experience.

Client: 141st Congress of the German Society of Surgery (DCK 2024) – Leipzig Congress Centre, April 23–26, 2024.

KEY RESULTS

4 days

Continuous visitor support across the full congress

100s

Parallel sessions navigated — personalized recommendations

Voice

Natural speech interaction — no typing, no app download

INDUSTRY

Healthcare / Congress Operations

USE CASE

Automated session guidance & visitor support

AI APPROACH

LLM + RAG + speech processing

INTERFACES

Screen kiosk + VR (Meta Quest 3)

EVENT

DCK 2024, Leipzig (Apr 23–26)

SCALE

Design thinking → Agile delivery

Automating session guidance and visitor support at Germany's largest surgical congress

The challenge

Large medical congresses are operationally complex. The German Congress of Surgery runs four days with hundreds of sessions in parallel — lectures, workshops, symposia, and live demonstrations spread across multiple halls. Thousands of attendees need to find the right session at the right time, check for schedule changes, locate exhibitor booths, and get information about the organizing institution.

Traditionally, this falls on information desks staffed by event personnel who need to know the full schedule, venue layout, and exhibitor details. During peak hours – especially at session changeovers – these desks get overwhelmed. Printed programs are outdated by the time the first schedule change happens. Event apps help but require downloads and typing. The result: attendees waste time, miss relevant sessions, and organizers spend money on staffing that still can’t cover the demand.

The core problem: a four-day congress with hundreds of parallel sessions and thousands of attendees – and no scalable way to provide personalized session guidance and event information without dedicated staff at every turn.

What we built

We deployed an AI-powered assistant that attendees could simply walk up to and ask questions – by speaking naturally, the way they’d ask a colleague. No app to download, no interface to learn, no typing on a phone.

Personalized session recommendations. With hundreds of sessions running in parallel, the most valuable feature was helping attendees find the right ones. The system knew the full congress schedule and could answer questions like “What’s happening right now on colorectal surgery?” or “Which workshops still have availability this afternoon?” – something an information desk staffer would need to flip through a binder to answer.

Full event knowledge. Beyond session scheduling, the assistant could answer questions about exhibitors, the organizing institution, venue navigation, and general congress information. All of this was powered by a retrieval system connected to the complete event database, ensuring answers were always current and accurate.

Voice-first interaction in a noisy environment. Congress floors are acoustically hostile – hundreds of simultaneous conversations, PA announcements, foot traffic. We combined professional microphone hardware with software-level noise reduction to maintain reliable speech recognition even in the loudest areas. Response times were optimized through parallelized processing to keep conversations feeling natural rather than stilted.

Two access modes. The assistant was available on a large screen kiosk for quick walk-up interactions, and also as an immersive VR experience through Meta Quest 3 headsets – giving attendees a choice between fast utility and a more engaging, exploratory interaction.

Visitors speaking with our AI Avatar through Virtual Reality using the Meta Quest 3
Visitors speaking with our AI Avatar through Virtual Reality using the Meta Quest 3

The results

BEFORE

Printed programs, static signage, and staffed information desks. Limited capacity during peak hours. No personalized session recommendations. Schedule changes communicated slowly.

AFTER

AI assistant handling visitor questions on demand. Personalized session recommendations from the full schedule. Continuous availability over four congress days – no waiting, no queuing.

The assistant operated across all four congress days, giving booth visitors immediate, personalized answers about which sessions to attend, where to find exhibitors, and how to navigate the venue – the kind of guidance that would otherwise require someone manually checking the printed program.

For event organizers and exhibitors, this demonstrates a practical model for enhancing visitor experience at large conferences. The same system can be reconfigured for any event with structured schedule data – trade fairs, corporate conferences, medical congresses – making it a repeatable solution, not a one-off installation.

Technology used

Large Language Models RAG Architecture Speech-to-Text Text-to-Speech Function Calling
WebSockets Meta Quest 3 / VR Noise Reduction AI Avatar

More Case Studies

See how we’ve helped other companies

Predictive maintenance car manufacturer

AUTOMOTIVE (UNDER NDA)

Replacing reactive maintenance with a predictive maintenance roadmap

Unplanned equipment failures were causing costly production stops. We assessed the manufacturer’s infrastructure and delivered a concrete architecture for predictive maintenance, a roadmap from reactive repairs to data-driven prevention.

Predictive Maintenance Consulting Architecture

PdM

Architecture

Roadmap

Delivered

MANUFACTURING · RADAWAY

Making email-based order processing reliable with LLMs

Staff were manually reading customer emails, identifying products, and entering orders by hand. We turned a promising AI prototype into a production system that handles it end to end, across languages, formats, and attachments.

LLM Semantic Matching Prompt Engineering

-90%

Manual intervention

95%+

Match accuracy

case study - Cutting security questionnaire completion from one month to one week with GenAI - medtech

LOGISTICS · FR. MEYER’S SOHN

Eliminating manual data extraction from thousands of daily shipping emails

Operations staff were manually reading German and English logistics emails to pull out routing and scheduling data, every single day. We built an AI pipeline that extracts, structures, and delivers the data automatically.

GPT-4 Email Processing On-premise

–80%

Manual effort

2 langs

DE & EN

On-prem

Deployed

Tell us which process is costing you the most

We start with a focused process analysis – you see exactly what’s possible before committing to project implementation.






    Data Controller Information: The controller of your personal data is theBlue.ai GmbH, headquartered in Hamburg, Germany. By submitting this form, you consent to the processing of your personal data for the purpose of responding to your inquiry. You may withdraw your consent at any time, without affecting the lawfulness of processing based on consent before its withdrawal. Based on our legitimate interest, we may also send you information about our services and solutions, but only if it relates to the topic of your message. If you prefer not to receive such communications, you have the right to object at any time. For more details on how we handle your personal data and your rights, please refer to our Information Clause and Privacy Policy.

    * Required fields.