How would you implement a waste analytics program to identify the top drivers of waste?

• A. Random sampling of leftovers
• B. Track only disposal costs
• C. Collect data on prep waste, trimmings, par levels, yields; categorize waste by stage; analyze by dish; implement corrective actions
• D. Wait for annual waste recaps

Answer: (C)

The idea being tested is turning waste into actionable insight by collecting detailed, stage-specific waste data and linking it to specific dishes. This lets you see not just how much waste there is, but where it comes from and why, so you can target the real drivers.

Collecting data on prep waste, trimmings, par levels, and yields, and then organizing it by stage and by dish, creates a complete picture. You can see which recipes or steps produce the most waste, whether waste happens during trimming, portioning, or due to inaccurate yield predictions, and how varying par levels or yields affects waste. From there, you can implement concrete corrective actions—adjusting recipes, refining trimming methods, tightening portion control, recalibrating inventory par levels, or changing supplier specs—and then reuse the data to verify improvement over time.

Other approaches fall short because they don’t provide the full, actionable view. Random sampling of leftovers offers only a snapshot and can miss systemic issues. Tracking only disposal costs focuses on the price of waste, not the quantity or root causes. Waiting for annual waste recaps is slow and reactive, missing opportunities to intervene sooner and prevent waste. The comprehensive, stage- and dish-level data approach gives you both the diagnosis and the remedy you need to reduce waste effectively.