11/12/2022 0 Comments Online time attendance softwareEven if you’re not operating at the level of a brand like Chipotle, the more staff you have, the more shifts you run, the higher the cost of scheduling mistakes. In April this year, New York City sued Chipotle for $500 million for 599,693 infractions of the city’s 2017 predictive scheduling law. Since scheduling errors rarely impact only one employee, your risk grows exponentially the more workers you have. If the same problem occurs for 10 staff, you’re facing a $50,000 penalty. Break the law for one worker’s shift, and you may be fined $5,000. The risks of getting it wrong are high, as non-compliance results in punitive fines that usually stack per individual infraction. Even with only 10 employees mistakes are easy to make and problematic shift patterns are hard to track. Offline staff scheduling systems require managers to spot shifts that clash with these laws by checking and cross-referencing every timesheet and schedule manually. Predictive scheduling laws are already on the books in multiple states and cities, with more likely to follow.Ĭomplying with predictive scheduling laws without using online time and attendance software is a huge task. One of the most talked-about developments in labor law is predictive scheduling, or “fair workweek.” These laws are designed to protect hourly workers from unpredictable schedules and ensures they are given ample rest between shifts. Here are the key ways in which switching to online time and attendance software for staff management will allow you to stop worrying about legal compliance and concentrate on managing your business. With increased scrutiny over working hours and pay-and new labor laws likely to favor workers-sticking with outdated and inaccurate offline methods of recording on-the-clock hours can expose you to expensive legal risks. If you are still tracking staff attendance using offline methods, such as paper timesheets or even computer spreadsheets, your company is at risk of more than just money lost to inefficiency.
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