Summary. What’s in it for your business?
Discover how Textkernel’s cutting-edge parsing technology transformed Harri, the leading hospitality recruiting platform. From handling 75,000 resumes initially, Harri skyrocketed its parsing capabilities to over 2 million – and that is expected to grow exponentially over the next two years. The seamless integration of Textkernel within Harri’s talent acquisition platform enables employers to find the candidates they need, saving thousands of hours spent screening and hiring candidates every year.
The Company
About Harri
New York-based Harri is an end-to-end enterprise resource planning platform for the hospitality industry, equipping enterprise businesses with the tools to build, manage and develop their teams from a single platform. A global firm with over 430 clients across the US, UK, and Europe, Harri is helping the world’s most recognizable brands strategically address labor-related challenges and drive business performance.
“Our relationship with Textkernel helps put us in a better place in the market. The functionality that they offer is table stakes for what we do. We wouldn’t be able to grow if we couldn’t get this one thing done really well. And they do it really well.”
Joe MilizianoChief Operating Officer, Harri
THE opportunity.
Textkernel’s Parsing: The foundation of Harri’s hiring success
Simply put, Harri is growing. Exponentially. And as they do, more Harri customers will be relying on the core parsing technology that is included in the product as the baseline for their hiring. In fact, resume parsing is a fundamental component of Harri’s complete staffing solution to ensure high-quality hiring at scale. Harri is one of Textkernel’s US customers with the most longevity, having relied on Textkernel for parsing since 2016. As their contract renewal neared, the company opted to take the opportunity to review the offerings of other products that compete with Textkernel’s parsing system, evaluating a series of new solutions. As Harri’s client-base grew, the number of resumes being reviewed was about to soar. The more resumes there are to evaluate, the more critical parsing becomes. Harri is moving into a more geographically dispersed market, including EMEA and the Asia Pacific region. In addition to geographic expansion, the company is expanding beyond supporting hotels and fine dining to serve more fast-food franchise markets. Fast-food, which sees 150% turnover every three months, requires fast, efficient, and reliable parsing to find the right workers in a very difficult job market.
The key to
Ai praising technology
https://harri.Com/ develops almost everything internally, with parsing and e-signature solutions being the exception. Therefore, the partner relationship developed for these offerings is as critical as the reliability and usability of the products they bring in. As employers rifle through hundreds and sometimes thousands of applications, harri’s application tracking system delivers what joe miliziano, chief operating officer at harri, calls ‘speedy screens.’ these speedy screens require the accuracy offered by textkernel’s parsing the real value, as harri sees it, is not in building the talent pool but in how you interact with those people. How well you perform is based on what you know about the applicants. And textkernel makes that knowledge fast and easy, which then made the choice to continue with Textkernel’s parsing solution simple as well.
Key factors
Recommitting to Textkernel
THE Result
Parsing over 2 million – and grow exponentially over the next two years
The seamless integration of Textkernel within Harri’s talent acquisition platform enables employers to find the candidates they need, saving thousands of hours spent screening and hiring candidates every year. With the ability to support hundreds of languages, the partnership has laid the groundwork for global growth and reliable support. At the beginning of their relationship with Textkernel, Harri was parsing approximately 75,000 resumes for hospitality clients. They are now parsing over 2 million – and that is expected to grow exponentially over the next two years. They point to the fact that Textkernel’s accuracy and speed has not wavered, even with Harri’s exponential growth.
