How Migros leveraged AI to improve job search experience
Challenge: Reducing costs while reaching talent
Sharing job listings on external platforms often comes with a high price tag. For Migros, maximizing the number of qualified applicants through its own recruitment tool was a strategic priority. To succeed, this tool needed to be intuitive, user-friendly, and capable of connecting candidates with the right opportunities. Migros set out to introduce an AI-powered recommendation system that would personalize the job search experience, presenting relevant postings and optimizing the candidate journey.
How we helped
Creating a personalized job search experience for Migros involved specific technical and strategic considerations. One of them is ensuring multilingual support, as the system needed to process job postings in both French and German. The system also needed to handle large and complex datasets, including job titles, requirements, responsibilities, locations, and descriptions, while ensuring relevance and precision in its recommendations. The solution also needed to integrate seamlessly with the company's existing infrastructure while being scalable to accommodate changing demands.
We addressed these requirements by leveraging multilingual language models capable of analyzing job postings in both languages. Using content-based filtering with a similarity scoring system, the solution ensured that candidates were matched with the most relevant opportunities. Deployed as a microservice within the client’s cloud infrastructure, the system was both scalable and easy to integrate, providing long-term value and flexibility.
The impact: Lower spend, higher returns
- Significant increase in applications on Migros' job portal, delivering measurable returns by cutting advertising costs and reducing the time-to-hire.
- The client strategically internalized sourcing without compromising the quality of the applicants and new hires.
- Seamless integration with existing systems, boosting AI adoption.
