Hays plc is a global recruitment group with 257 offices in 30 countries worldwide. It's the market leader in the United Kingdom and Australia, and one of the leaders in continental Europe. Hays works with clients and candidates in 17 industry sectors to fill 50,000 permanent jobs and 180,000 temporary jobs each year. The company cites its deep specialisation in individual vertical sectors as the source of its competitive advantage.


Hays came to Infomentum with a clear goal; to improve their online customer experience. They knew that a more personalised user experience on the site was key to convert visitors to their website into active job applicants, increase application volumes from those job seekers, and ensure that they kept coming back to the Hays website during their job search. 


Internally, the process to upload new job vacancies was slow. The recruitment group needed to ensure that temporary positions could be filled quickly, often on the same day. The uploading process had to improve. 

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We implemented Oracle's WebCenter Portal as a central online tool for Hays to manage job listings. We automated the process of tagging the job vacancies with relevant keywords within the portal - this was previously manual, which was extending the time it took for recruiters to upload their roles. 


Once the portal was in place, we had to address Hays' need for a more personalised user experience on the site. We developed a smart ontology to establish relationships between related content on the Hays website. This ensured that potential candidates would be guided to other related jobs and events - like recruitment fair and open days - on their journey through the site. This tagging also helps to display other similarly tagged content throughout the user's journey on the site which will be relevant and personalised to their job search.


Finally, we created an accurate, smart search function to give users more relevant results, and to allow them to search using their location preferences. 


The customer experience for job seekers on the Hays website has seen huge improvements. Users always see information specific to their job search - from relevant vacancies and upcoming events information, to more useful general content on each page. This experience is extended to the navigation through the website, which is personalised based on their profiles, previous searches and other on-site behaviour. It has also improved rates of return to the Hays website, because job seekers see fresh, new and relevant information on each visit. 


The semantic relationships running in the back-end of the site means that search results are smarter and more applicable than ever, giving a richer experience as job seekers hunt for the perfect role. The location data and integration to Google maps means that job seekers can easily search for roles within their specific location parameters, narrowing down their job search to the most relevant vacancies.


And it's not just website users that have seen results from the system. The Hays team can now post vacancies in minutes, without the need to manually tag jobs with the relevant keywords - the system does it for them. As a result, the company has seen improved candidate placement rates. 


Oracle's WebCenter Portal was chosen as the tool for Hays; the business could use it globally and offer secure access to staff. To implement Portal, we needed to consolidate 400 different sites and tools which Hays was using worldwide and across different business units. The employee experience had to be equal in each area.


Previously, publishing job listings was a manual process. Using semantics to auto-tag job listings automated much of the process, enabling Hays employees to quickly upload their vacancies.


Semantics was also the crucial element needed to consistently drive relevant content to website users on every page. We used our ICE (Infomentum Classification Engine) tool to develop a smart ontology which established relationships between related content on the Hays website. This ontology is responsible for giving website users a personalised experience, by offering similarly tagged content based on their website behaviour, and for driving relevant search results using semantic relationships.


Oracle Spatial offered support for location data, so we integrated this with Google Maps to allow job seekers to search for roles within their location criteria.