IoT in HR: Maggiano’s Little Italy Enhances Hiring Process with AllyO
About The Customer
Maggiano’s Little Italy is a restaurant chain founded in 1991 that specializes in classic Italian-American cuisine served in a warm and friendly atmosphere. The restaurant operates in 51 locations across 22 states in the United States. The company has a high demand for hiring across various permanent and seasonal roles including busser, host, line cook, server, and banquet sales. With a goal to engage a wider audience, increase applicant capture, automate pre-screening and scheduling, and reduce time to interview, Maggiano’s Little Italy was in need of an innovative solution to streamline its hiring process.
The Challenge
Maggiano’s Little Italy, a restaurant chain with 51 locations across 22 states, was facing a significant challenge in its hiring process. The robust economy was enabling job seekers to be more selective about opportunities, while the consumer demand for restaurants was calling for a steady stream of employees throughout the year. The restaurant chain had high-volume hiring needs for various permanent and seasonal roles including busser, host, line cook, server, and banquet sales. The goal was to engage a wider audience, increase applicant capture, automate pre-screening and scheduling, and reduce time to interview. However, the traditional hiring process was proving to be inefficient and time-consuming, making it difficult for the company to attract and retain the right talent.
The Solution
To address these challenges, Maggiano’s Little Italy turned to AllyO, an AI-powered recruitment platform. AllyO was custom-built and deployed within weeks to start capturing and engaging potential candidates across mobile and web. The platform was designed to qualify and schedule candidates through quick, seamless conversations with virtually zero involvement from the Maggiano’s team. This innovative solution allowed the restaurant managers to meet their never-ending hiring needs while empowering the corporate recruiting team to focus less on administrative tasks and more on value-add activities. The use of AI in the hiring process not only automated the pre-screening and scheduling but also helped in engaging a wider audience and reducing the time to interview.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
