Robotics & Automation Insights

Which Prep Tasks Deliver the Biggest Time Savings?

Written by Kristin Guthrie | Sep 26, 2025 8:56:19 PM

Where hours disappear: repetitive produce prep and portioning before service begins.

Every kitchen has its silent thieves. Hours disappear into peeling onions, trimming chicken, stirring sauces, or scrubbing pans. These are the tasks no guest ever sees, but every operator feels on the P&L.

The question that matters:

Which prep tasks deliver the biggest time savings and the fastest ROI?

By surfacing where kitchens lose the most hours, leaders can focus automation, sourcing, and process changes on the few tasks that return the most.

The prep time hogs you cannot ignore

Not all back-of-house tasks are created equal. Some chew up staff hours every day, leaving less time for quality and hospitality. Based on industry research, supplier benchmarks, and operator reports, here is where most kitchens lose the most time and where automation or smarter sourcing can pay off.

Prep Task Why It Consumes Time Potential ROI Leverage
Produce prep (peeling, chopping, dicing) High volume, size variation, repetitive cuts, cleaning, rework Automated cutters, bulk prepped produce, pre-cut purchasing
Protein portioning and trimming Precision needed, yield loss, variable fat and waste Portioning machines, digital scales, supplier trim guides
Sauce and base prep (mixing, simmering, reduction) Long hold times, stirring, multi-stage steps Automated stirrers, programmable cooking systems, batch cooking
Dough mixing and dividing Cycle time, proofing, re-handling Robotic mixers, dough sheeters, portioning robots
Assembly (salads, bowls, pizzas) Dozens of micro-steps, rush hour stress Conveyor or robotic assembly modules, modular prep stations
Frying and grilling Constant monitoring, flipping, doneness checks Automated fryers, robotic griddles, smart cooking platforms
Cleaning and sanitizing High volume of dishes, pots, and utensils High-speed dishwashers, robotic floor scrubbers

About the evidence: These categories reflect a mix of time-driven activity costing studies in foodservice operations, supplier benchmarks such as pre-cut produce providers that estimate daily labor savings, and real-world operator reports where automation reduced active prep time or increased line throughput.

From data to rankings

The grid shows where time goes. So which tasks deliver the biggest impact? To decide what to tackle first, weigh three factors: hours consumed, availability of automation or outsourcing, and speed of payback. To kick off your number crunching, we pulled together one benchmark for time savings in each area. When you line those up, the biggest wins usually look like this:

  1. Produce prep: 3 to 4 hours saved per day per location
  2. Protein portioning and trimming: 1 to 2 hours saved, plus 5 to 10 percent less waste
  3. Sauce and base prep: one or more hours of staff attention freed per shift
  4. Assembly tasks: 20 to 30 percent faster throughput during rush periods
  5. Dough mixing and dividing: high ROI for pizza and bakery operations
  6. Frying and grilling automation: up to 50 percent faster cook times
  7. Cleaning and sanitizing: hours saved on closing shifts

Relative impact index based on hours saved, payback speed, and availability of automation. See Sources for details.

These are not hypothetical. They are pulled from published research and supplier case studies. Results vary by concept and menu, but the pattern is consistent across full service and quick service operations.

What those hours mean in real dollars

Once you know which tasks dominate time, translate them into ROI so decisions are apples to apples.

  • Produce prep example. At $18 per hour, 4 hours of chopping equals about $72 per day or roughly $2,160 per month per location. Halve that with equipment or pre-cut produce and you reclaim about $1,000 per month in labor before benefits. Vendor claims of 4 to 5 hours saved per day are directional and depend on volume and menu. Miso

  • Protein yield example. A 5 percent yield improvement on $20,000 per month in protein spend is about $1,000 back in margin.

  • Fry-station example. Automated fry systems increase station throughput and reduce active monitoring. Miso reports the newest Flippy operates twice as fast as the prior version, which can shorten cycles and raise peak-hour capacity. Miso

See your payback in months, not guesses

Enter your numbers and compare options side by side. The tool featured above highlights the fastest payback moves for your concept.  Open ROI Calculator

 

Why it is bigger than labor savings

  • Consistency: fewer errors, less waste, predictable quality

  • Throughput: faster rushes without adding staff

  • Morale: staff move from repetitive time hogs to higher-value work

It is not about replacing people. It is about freeing them to do the work only people can do. Seasoning to taste. Greeting guests. Creating experiences worth coming back for.

Takeaway

The best operators start by auditing where time goes. Then they tackle the prep drains that deliver the fastest return. Focus first on produce prep and portioning if they dominate your hours. Expand to sauces, assembly, and the fry station as savings stack up.

 
 
  
View transcript

Where Robots Fit in the Restaurant Experience

When you think of robots in restaurants,

you might picture robot servers greeting guests.

But the real story is more subtle.

As highlighted in Food & Wine, robots are stepping in behind the scenes,

handling repetitive or time-consuming tasks.

For example, Chipotle’s Autocado preps avocados in seconds,

and Sweetgreen’s Infinite Kitchen assembles hundreds of bowls per hour.

Delivery bots are even hitting city sidewalks.

However, not every experiment works.

The key is balance

The most meaningful wins are not in bold experiments.

They are precise deployments that strengthen both kitchens and teams.

The future is teamwork, not replacement.

RoboOp365

 

 

Sources and further reading

  • Hobart. Gaining Labor Savings with Food Prep Equipment.

  • Back of House. How AI Can Help With Restaurant Food Prep.

  • FCSI. How kitchens yield to automation. Improving the efficiency of commercial kitchens.

  • Miso Robotics. Why Kitchen Automation is a Game-Changer. Next-Generation Flippy Fry Station.

  • Barron’s. Chipotle’s Autocado and augmented makeline coverage.

  • Modern Restaurant Management. How Food Prep Equipment Can Help Restaurants Reduce Costs.

  • What Chefs Want. Prepped produce labor savings overviews.

These references support the direction of the time and ROI benchmarks above. Actual results depend on menu, volume, layout, and staffing.