When Garlo's Pies introduced NoahFace time clocks to their food production facilities in 2023, they implemented a set of configurations to combat time clock fraud, improve their overall team management, and even improve employee morale.
Established in 2001 as a small pie shop in Maroubra, Sydney, Australia, Garlo's Pies is a family-owned business with an advanced food production facility and a commitment to quality certifications, operating with a dedicated team across multiple shifts to meet demand.
This case study delves into Garlo's Pies' transformative journey in addressing time clock fraud and enhancing operational efficiency through the implementation of NoahFace's facial recognition technology in 2023.
Led by Jackson Garlick, Garlo’s Pies General Manager, the company sought to combat fraudulent clock-ins prevalent in their previous time & attendance system, a vulnerability that led to significant losses due to "buddy punching."
By integrating NoahFace, Garlo's Pies ensures precise clocking events, safeguards against unsupervised clock-ins, and significantly improves team management. Moreover, the utilization of sentiment analysis within NoahFace has not only bolstered staff morale by promptly addressing concerns but also enabled real-time responsiveness to employee feedback, showcasing a proactive approach to enhancing the overall work experience.
One of the challenges that the Garlo’s Pies leadership team was looking to solve centered on challenges with fraudulent clock-ins. Under the company’s previous time & attendance solution, employees could easily share their individual access numbers to clock co-workers in before they arrived on site. This type of time clock fraud - commonly called “buddy punching” - can cause companies like Garlo’s Pies significant losses over time and with frequency.
“Our previous time and attendance software didn’t capture images. This left us vulnerable to time fraud across our business operations.”
By configuring NoahFace’s innovative facial recognition technology, Garlo’s is able to ensure that every clocking event is accurately captured and attributed to the correct employee. While the company does not yet have a full picture of the net gain from the system change to NoahFace, Garlick acknowledges that the improvement is notable.
In addition to protecting against time clock fraud, Garlo’s Pies has configured NoahFace to ensure that the unsupervised staff are clocking in and out according to their team schedules. With provisions in place to prevent clocking events outside of rostered hours, the company is able to further protect against intentional or unintentional losses from errant clock ins.
“Facial recognition software has dramatically improved our reconciliation of timesheets,” Garlick notes. “In addition to the automatic systems in place, our payroll staff are able to work through payroll more efficiently and more quickly every pay period.”
Garlo’s also makes use of the NoahFace evacuation and muster features, creating a safer, more secure workplace all within a single system.
"The sentiment analysis is a great way to capture our employees happiness at the end of each shift. By having the data daily, Garlo’s management can react in real time to unhappiness or dissatisfaction from individual employees, or a whole department."
Garlo’s Pies uses the sentiment analysis feature within NoahFace to ask for and receive real-time feedback from employees on how they’re feeling about their workday.
"The sentiment analysis is a great way to capture our employees happiness at the end of each shift,” Garlick said. “By having the data daily, Garlo’s management can react in real time to unhappiness or dissatisfaction from individual employees, or a whole department.”
That responsiveness to employee dissatisfaction has already had an enormous impact on staff morale. In fact, as of today, less than 5% of Garlo’s Pies are rating their work experience as “unsatisfactory.” By quickly identifying areas of concerns, the company’s management team to reach out directly to employees for specific feedback, which the company then uses to address concerns and improve the experience for its employees.
“Real-time analysis provides more opportunity to address issues before they turn into ongoing problems,” Garlick says.