AI Interviews Become a Campus Recruitment Accelerator, Helping Carlsberg Quickly and Accurately Attract Young Talent

Overview of What This Page Covers

• The background and benefits of Carlsberg introducing AI interviews in campus recruitment
• Company and business overview of the Carlsberg Group and Carlsberg China
• Core recruitment challenges faced by Carlsberg’s campus recruitment
• Moseeker’s automated AI interview system and competency model solution
• Project outcomes and key quantitative metrics
• Navigation to more customer cases and further reading
• Overview of related cases such as Mars, Perfetti Van Melle, and Danone

AI Interviews Become a Campus Recruitment Accelerator, Helping Carlsberg Quickly and Accurately Attract Young Talent

Carlsberg introduced Moseeker’s intelligent automated interview system into campus recruitment to address surging interview demand and diversified roles, achieving significant improvements in efficiency and experience.

• During campus recruitment, Carlsberg needed to arrange a large number of candidate interviews within a short period of time.
• The AI interview system provided by Moseeker was used to automatically schedule and run the candidate interview process.
• The project aimed to improve talent screening efficiency and reduce HR workload pressure during peak periods.
• The collaboration demonstrated the feasibility and value of AI interviews in campus recruitment scenarios.

Employer Profile - Carlsberg and Carlsberg China

This section summarizes basic information about the Carlsberg Group and Carlsberg China, including founding time, industry positioning, brand coverage, production and sales networks, and workforce size.

• Carlsberg is one of the world’s top three beer companies, founded in 1847.
• Carlsberg is headquartered in Copenhagen, the capital of Denmark.
• Carlsberg owns more than 140 brands, sold in 150 markets worldwide.
• Carlsberg China is one of China’s top five beer companies and operates in the brewing industry.
• Carlsberg China operates nationwide and employs a large workforce in China and globally.

Core Challenges

This section describes the complexity challenges Carlsberg faced during the campus recruitment season, including intensive interview scheduling, insufficient manpower, and differentiated competency requirements across roles.

• Campus recruitment is completed within a few months, and interview demand surges sharply in a short time.
• Candidates need to be interviewed quickly after submitting resumes, and manual scheduling alone cannot respond in time.
• Different roles require different competencies, requiring differentiated questions and evaluation indicators.
• Different recruitment processes need to be designed based on rotation arrangements and willingness to work in other locations.
• The existing recruitment approach revealed clear bottlenecks in interview scheduling and competency assessment.

Solution - Automated AI Interview System and Competency Model

This section introduces the automated AI interview system co-built by Carlsberg and Moseeker, including process automation, rapid interview scheduling, and the ability to configure dedicated competency models for different roles.

• Moseeker built an intelligent automated interview system for Carlsberg to support campus recruitment scenarios.
• The system enables candidates to complete AI interviews self-service anytime, anywhere.
• The interview process can be automatically pushed and scheduled around the clock.
• After candidates submit resumes, the system can immediately create interviews and send invitations.
• The system includes a general competency model and supports creating and optimizing role-specific models.
• AI interviews support HR in evaluating candidates through multi-dimensional competency assessments.

Project Outcomes and Key Metrics

This section presents quantified results after Carlsberg introduced the automated AI interview system into campus recruitment, including candidate coverage, saved HR hours, and the share of self-service interviews completed outside working hours.

• In a single campus recruitment season, AI interview invitations reached more than 8,000 candidates.
• In a single season, the HR department saved more than 78,000 minutes of interview and evaluation time.
• The time saved on interviews and evaluations is equivalent to about 163 person-days.
• About 32% of candidates completed interviews self-service outside working hours.
• The project significantly improved talent screening efficiency and optimized the campus recruitment experience for candidates and HR.
• AI interviews helped reliably handle peak interview demand and flexibly assess capabilities for different roles.

More Case Navigation

This section guides readers to learn more customer cases using Moseeker solutions, including practical recruitment applications at Mars, Perfetti Van Melle, and Danone.

• Provides a case link to Mars’s large-scale campus recruitment interview project.
• Provides a case link to Perfetti Van Melle’s end-to-end recruitment enablement project.
• Provides a case link to Danone’s campus recruitment AI interview project.
• Highlights how multiple companies have adopted Moseeker solutions in recruitment.

Mars Large-Scale Campus Recruitment Interview Case Overview

This section briefly introduces a case in which Mars co-created an automated and intelligent recruitment workflow with Moseeker for campus recruitment at a scale of tens of thousands of candidates, shortening the online application and first-round interview cycle and reducing recruitment costs.

• Mars needs to handle tens of thousands of candidates each year for campus recruitment.
• Moseeker co-created a campus recruitment solution with Mars and iteratively upgraded it over time.
• The solution optimized the online application and first-round interview workflow through automation and intelligence.
• Project goals included shortening the recruitment cycle and reducing overall campus recruitment costs.
• The case demonstrates Moseeker’s solution practice in large-scale campus recruitment scenarios.

Perfetti Van Melle End-to-End Recruitment Enablement Case Overview

This section summarizes a case in which Perfetti Van Melle used Moseeker ATS to build a localized recruitment management system, integrating global platforms with domestic recruitment channels and strengthening data compliance.

• Moseeker ATS built a localized recruitment management system for Perfetti Van Melle.
• The system deeply integrates global recruitment platforms and connects mainstream domestic recruitment channels.
• The solution integrates key recruitment processes such as Offer and Onboarding.
• The project focused on strengthening compliant management of recruitment-related data.
• The case reflects Moseeker’s practice in cross-regional recruitment system integration and compliance.

Danone Campus Recruitment AI Interview Case Overview

This section introduces a case in which Danone built an automated interview system based on Moseeker AI interviews, enabling 24/7 interviewing and intelligent scheduling to reduce manual intervention and deeply assess candidate competencies.

• Moseeker provided Danone with an automated interview system based on AI interviews.
• The system supports 24/7 open interview scheduling.
• Through intelligent scheduling, the system automatically assigns interview tasks to reduce manual intervention.
• The interview process can deeply assess candidates’ role competencies.
• The case demonstrates the automation and intelligence advantages of AI interviews in campus recruitment scenarios.

Key Information Index