Recruitmentsmart Technologies: Integrating Artificial Intelligence into Recruitment Process

Hiring the right candidate for a particular portfolio is one of the most crucial aspects for any business. Traditional recruitment process are becoming obsolete and irrelevant in today’s world - more so when it comes to large enterprises - as hiring managers have to put in a lot of effort and time while processing heaps of data from various platforms, short listing best fitting candidates, and scheduling interview and more.


We ensure 53 percent of reduction in time spent during resumes’ scanning, 37 percent cost reduction in sourcing and 60 percent improvement in initial screening of funnel

Understanding the major pain points related to today’s recruitment process, a London headquartered organization named Recruitmentsmart Technologies has been setting new standards in recruitment process. Aiding enterprises across the globe in hiring best candidates for their business, Recruitmentsmart has various successful use cases to back their expertise in this segment. The company enables a complete automation of the recruitment process which significantly increases efficiency and productivity of a recruitment department by considerably saving time and energy needed for manual works. With unique Artificial Intelligence and Machine Learning Algorithms, Recruitmentsmart enables its clients to process huge amounts of data volume, with capacity to process more than 7 million profiles on a daily basis - delivering businesses a unified view. “We have partnered with global giants such as Oracle, SAP, Capgemini, among others to provide holistic solutions for their clients spread across the globe,” says Pawan Lokwani, Director, Recruitmentsmart Technologies.

Delivering Machine Learning Capabilities
Recruimentsmart’s Sniper AI is arguably a game changer for recruitment process. Leveraging Machine Learning capabilities, Sniper AI has a self learning mechanism to precisely match CVs with job specifications in a significant lesser amount of time while constantly learning from its engagements. Sniper AI augments existing infrastructure by integrating with virtually any existing database or applicant tracking system such as
Kenexa, Taleo, Greenhouse and more. Furthermore, they have a complete online applicant tracking system - Sniper Turnkey - which allows users to easily draft job specs, match them to candidates, and share them with partners and social media sites.

Automating Candidate Engagement
Setting new standards in automating candidate engagement, Recruitmentsmart’s Jeeves AI is a robust conversational AI which boosts existing applicant tracking system so as to enhance candidate experience, employer branding and hiring efficiency. It effectively facilitates quick discovery of jobs by personalizing jobs for the candidates instead of non pertinent searches. Candidate can even chat with Conversational AI and can be delivered through various channel of choice depending on the strategy of engagement. The process selects only the most relevant profiles thereby optimizing time spent on the Application Process. Hence, providing a superior candidate experience and improved brand equity - Improving brand’s perception leads to attracting the best talent.



So, to summarize their solution, RecruitmentSmart automatically parses CV data from virtually any unstructured data source, instantly matches and scores candidate to each job specification, shortlists and selects candidates on a single click, offers single dashboard view of all external and internal candidates, allows social media registration and job training, and has built-in messaging to communicate directly with candidates along with a fully featured search and application portal for candidates.

“We have already integrated with over 70 percent of market players in Europe, US and Asia-PAC. “We ensure 53 percent of reduction in time spent during resumes’ scanning, 37 percent cost reduction in sourcing and 60 percent improvement in initial screening of funnel,” says Yusuf, Cofounder, Recruitmentsmart Technologies.