RChilli Becomes Default Parsing Solution for Oracle Recruiting Booster, Enhancing Recruitment Efficiency

RChilli, a leader in parsing, matching, and data enrichment solutions, has achieved a pivotal role in the recruitment technology sector by becoming the default parsing solution for Oracle Recruiting Booster. This partnership is set to transform how organizations engage with candidates, simplifying the hiring process and creating a more personalized application experience.

Oracle Recruiting Booster, an extension of Oracle Fusion Cloud Recruiting, is at the forefront of innovation in candidate engagement and recruitment strategies. The integration with RChilli introduces intelligent resume extraction capabilities, allowing candidates to complete applications quickly in multiple languages. This feature not only enhances the inclusivity of the application process but also significantly improves the efficiency of talent acquisition teams.

The collaboration further enhances the 'recommend jobs' functionality within the Recruiting Assistant, a digital assistant embedded in career sites, facilitating personalized job discovery. Josh Adams, Director of ERP Operations at RChilli, highlighted the company's reputation for rapid and seamless integration processes, emphasizing the trust it has built within the HR Tech community. The partnership with Oracle is expected to extend these efficiencies to a broader audience, providing Recruiting Booster customers with unlimited access to intelligent resume extraction.

By focusing on resume extraction, the partnership aims to eliminate candidate application friction, activate data-driven features, and reduce software costs and complexity for users. This initiative is in line with RChilli's commitment to innovation, supporting the processing of over 4.1 billion documents annually for more than 1600 leading global recruiting platforms. With certifications including ISO 27001:2013, SOC 2 Type II, HIPAA, and GDPR compliance, RChilli continues to empower companies to hire top talent more efficiently since its inception in 2010.