Case Study
everbay
LLM-based chatbot in recruiting
Our collaboration with everbay, an innovative scale-up in the field of automated and scaled recruiting, marks a significant milestone in the use of artificial intelligence for recruitment. Together, we have developed a chatbot based on Large Language Models (LLM) that enables automated communication with applicants and thus becomes the centerpiece of an effective recruiting funnel.
Challenge
Increase in efficiency in the recruiting process
everbay faced the challenge of increasing the efficiency of its recruiting process to ensure faster and more effective handling of applications.
Maintaining personal communication with a growing number of applicants
With the increasing number of applications, a solution had to be found that enables maintaining the quality of the candidate experience through personal communication.
Efficient processing of large volumes of applications
The goal was to develop a solution that efficiently processes large volumes of applications without compromising the quality of the candidates' experience.
Solution
Development of an LLM-based chatbot
In collaboration with meinGPT, a chatbot based on Large Language Models has been developed that enables seamless and automated communication with applicants.
Advanced techniques for data extraction
The chatbot uses techniques such as entity extraction and retrieval-augmented generation (RAG) to extract relevant information from applications and to generate personalized responses.
Integration in Messenger Platforms
To facilitate interaction for applicants, the chatbot has been integrated into popular messenger platforms such as WhatsApp, enabling a modern and straightforward way to get in touch.
Implementation
Integration of the WhatsApp Business API
The integration of the WhatsApp Business API has created an intelligent chatbot that offers availability around the clock while giving recruiters full control over the chat history.
Real-time monitoring by recruiters
Recruiters can monitor all communications in real-time and intervene when necessary to ensure the quality of interactions.
Optimization of the Application Process
The chatbot enables a modern and personal interaction with candidates directly on their preferred communication platforms, leading to an optimized application process.
Achieved goals
Processing over 65,000 applications
Since the launch, the chatbot has processed over 65,000 applications and is successfully used by several DAX companies.
Reduction of administrative effort
The solution has significantly reduced the administrative burden in the recruiting process, while candidates benefit from fast and interactive communication.
Scalability and efficiency of the solution
The impressive results of the chatbot integration demonstrate the scalability and efficiency of the solution to support large recruiting projects.
