Restaurant automation is worth testing when it removes a clearly defined source of guest or staff friction. Start with one problem, document the current experience, run a limited pilot, collect employee and guest feedback, and scale only if service becomes faster or more consistent without making the visit confusing or impersonal.
Start with the guest problem, not the machine
In a contributed article for Modern Restaurant Management, foodservice technology inventor Phil McKee argues that automation should earn its place by solving a real operating problem. He points operators toward recurring friction such as lost time, inconsistent quality, waste, difficult training, and guest expectations that the current process cannot reliably meet.
McKee is the founder and chairman of Appliance Innovation, so his article represents an industry supplier and inventor perspective rather than an independent performance study. The practical lesson is a decision framework, not proof that a particular machine or platform will improve every restaurant. Begin by naming the guest-facing or team-facing problem in plain language.
- Identify the exact point where guests wait, repeat themselves, receive inconsistent results, or need a staff rescue.
- Record when the problem appears: daypart, order channel, station, menu item, or service format.
- Define the result guests should notice if the problem is fixed.
- Reject tools that add steps without removing a larger source of friction.
Document the current experience before a pilot
A restaurant cannot judge improvement without a useful baseline. Observe the current process during normal and busy service before installing anything. Note where orders pause, where employees improvise, where guests ask for help, and where managers have to step in.
Keep the baseline practical. The goal is not a perfect research project; it is a fair comparison between the existing workflow and the proposed one. Use the same menu, daypart, service format, and staffing context whenever possible so a strong sales day or an unusually light shift does not get mistaken for a technology result.
- Track the time from the start of the task to a correct handoff.
- Count remakes, corrections, abandoned steps, and manager interventions.
- Ask employees which parts create the most interruption or retraining.
- Capture common guest questions, complaints, and compliments.
Pilot one use case during real service
McKee recommends piloting before scaling and defining success before installation. For an independent restaurant, that means testing one use case in a controlled part of the operation instead of changing the whole guest journey at once. A narrow test makes it easier to find the real cause of an improvement or failure.
Run the pilot long enough to include representative service conditions, but keep a clear review date and a safe fallback. Employees should know what the tool is supposed to solve, how to recover when it fails, and who can stop the test if food quality, safety, hospitality, or service flow deteriorates.
- Choose one station, order channel, daypart, menu family, or location.
- Write the intended workflow and the human fallback before launch.
- Test during both manageable and demanding service periods.
- Avoid expanding the pilot until the team has reviewed actual operating evidence.
Measure what guests and employees actually notice
Automation is valuable only when the outcome is better than the process it replaces. McKee suggests evaluating labor use, waste, speed, consistency, guest satisfaction, employee feedback, and maintenance needs. Restaurants should choose the few measures that match the original problem instead of collecting every metric available.
Pair operational data with human feedback. A faster process is not a clean win if guests find it confusing or employees have to perform frequent workarounds. Likewise, a modest time improvement can still matter if the team uses the recovered attention to greet guests, answer questions, recommend well-matched add-ons, or solve problems before they become bad reviews.
- Compare speed, corrections, remakes, and consistency with the baseline.
- Log downtime, maintenance, manual overrides, and staff support requests.
- Ask neutral guest questions instead of prompting for praise.
- Review whether employees gained time for hospitality or simply inherited a new task.
Protect the human moments that build loyalty
Guests usually care more about the result than the machinery behind it. Reliable service, a consistent product, an easy handoff, and timely help can make a restaurant feel trustworthy. That trust supports repeat visits when the same promise is delivered the next time.
Design the workflow so a person remains available when a guest is confused, has an accessibility need, wants a recommendation, or encounters an exception. Automation should create room for hospitality rather than force every guest through the same rigid path. This is also where Restaurant Marketing, Reviews and Reputation, and Loyalty work meet operations: the public promise has to match the experience in the room.
- Keep a visible and easy human-help option.
- Train staff to explain the new process in one calm sentence.
- Do not remove personal touches guests already value without testing the impact.
- Use recurring feedback to catch friction before it becomes a reputation problem.
Scale only when the operating case is repeatable
At the end of the pilot, answer the three questions McKee proposes: Did the system solve the problem? Did it create measurable value? Can the result be repeated without unnecessary complexity? A weak answer to any one of them is a reason to revise, narrow, or stop the rollout.
Before expanding, document the setup, training, fallback, maintenance responsibilities, operating limits, and review schedule. Recheck the workflow at each location because layout, menu mix, volume, staffing, and guest expectations can differ. The goal is not to own more technology. It is to make the visit more reliable and give guests another reason to return.
- Set a clear keep, revise, or stop decision date.
- Document costs and operational tradeoffs with the restaurant's own advisers and records.
- Train the next team from a proven workflow rather than a sales presentation.
- Continue monitoring guest experience after the launch is no longer new.
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FAQ
What restaurant task should be automated first?
Start with a repetitive, clearly defined task that creates measurable guest or staff friction. The best first test is narrow enough to compare with the current process and important enough that improvement would be visible during real service.
How long should a restaurant automation pilot run?
There is no universal duration. The pilot should include representative slow and busy periods, enough repetitions to expose maintenance and training issues, and a predetermined review date. Avoid extending a weak test indefinitely just to produce a favorable result.
Which results should operators measure?
Choose measures that match the original problem, such as service time, corrections, remakes, consistency, employee interruptions, guest feedback, downtime, or maintenance needs. Compare them with a documented baseline and review the operational and human results together.
Can automation hurt restaurant loyalty?
Yes. A system can damage trust if it confuses guests, makes exceptions difficult, removes valued personal attention, or produces inconsistent results. Keep an accessible human fallback and scale only when the new process makes the experience easier or more reliable.