When you are ranked #1 for Best Campus Food by The Princeton Review for nine years in a row, the bar for operational excellence is already set incredibly high. For the University of Massachusetts Amherst dining team, maintaining that reputation means constantly innovating.
The nine-year consecutive winner continues to elevate its dining operation by pushing the envelope of waste prevention. UMass Amherst Dining partnered with Metafoodx and has seen transformative results.
In our latest case study, we explore how UMass Amherst moved away from manual tracking to a data-driven approach to food management, resulting in significant cost savings and sustainable dining operations.
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The Challenge: Moving Beyond Manual Food Waste Tracking
Before implementing the Metafoodx AI scanner, the Harvest Market at UMass Amherst relied on traditional methods.
Chefs utilized just-in-time cooking, and tracking the actual production versus consumption was a manual, labor-intensive process.
Staff often had to jot down estimates during busy shifts, adding hours of work per station and leaving room for human error. This was challenging because they did not have the item-level data they needed to optimize production planning and minimize leftovers.
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