The
Grocerant Guru® Consumer Test: Will Square’s
new voice-AI kiosk make customers more likely to choose a restaurant, spend
confidently, and come back—or will it simply help operators take orders with
fewer employees?
Square
says its new voice-AI kiosk can deliver the speed of self-service without
sacrificing the hospitality of a good server. That is the promise. The Grocerant Guru® wants proof.
Here
is the consumer test: Will customers order more confidently, discover meals
they actually want, spend more wisely, receive better service, and return more
often—or will Square simply help restaurants do more with fewer employees?
The
survey numbers cited in the announcement should give operators pause. According
to Technomic survey data referenced in the press release, 35% of consumers find
kiosk ordering unappealing, while 46% say voice AI in the drive-thru is
unappealing. Meanwhile, ordering at the counter with an employee remains the
most popular method, at 46%.
Those
numbers expose the central challenge: Just because technology can take an order
does not mean consumers want to give one to a machine.
Square
and its restaurant customers must prove that voice AI improves the experience
where it matters most: convenience, menu discovery, order accuracy, perceived
value, and customer loyalty. They must also demonstrate that labor savings
translate into a better overall operation—not longer waits, frustrated
customers, or lost opportunities for meaningful human interaction.
The
ultimate test is simple: Does Square’s kiosk give consumers a compelling reason
to choose that restaurant again? If the measurable benefits accrue primarily to
the operator while customers receive no meaningful improvement, that is labor
optimization—not consumer innovation.
The
Grocerant Guru® bottom line: Consumers do not reward restaurants simply for
adopting AI. They reward restaurants that make the next meal easier to find,
worth the price, and satisfying enough to repeat.
What Square Is Bringing to the Ordering Experience
Square,
the Oakland-based point-of-sale provider owned by Block, has introduced a kiosk
designed to let restaurant customers order by voice, touchscreen, or a
combination of both.
The
device features a 21.5-inch display and built-in voice AI trained on the
restaurant’s menu. According to the announcement, customers can ask questions
about spice levels, allergens, and popular food pairings. The kiosk can also
detect when a customer approaches and welcome them to begin ordering.
James
Schonzeit, Square’s head of food and beverage, says the objective is to combine
the efficiency of self-service with the guidance customers receive from a good
server. Thomas Templeton, Block’s head of hardware, argues that voice makes
some menu questions easier to handle than navigating multiple touchscreen
menus.
The
concept has merit. Traditional kiosks can require customers to tap through
several screens to identify ingredients, explore options, or customize an
order. A conversational interface could make those tasks more natural.
But
the critical distinction is between a technology that works and a technology
customers want to use.
Square
says customers can turn off the voice feature, continue ordering by touch, and
request employee assistance when the AI cannot answer a question. Those options
matter because consumer preferences differ. A commuter seeking speed may
welcome voice ordering, while another customer may prefer a touchscreen or a
conversation with an employee.
Choice
is part of hospitality. Forcing every customer into one ordering method is not
personalization.
1. Voice AI Could Make Menu Discovery Easier
Square’s
kiosk is designed to answer questions using the restaurant’s menu information.
That could reduce friction for customers who need help understanding
ingredients, flavors, or combinations.
Consider
three potential applications.
Quick-service
restaurants: A customer deciding between two sandwiches could ask which is
spicier, what comes with each, or which side complements the meal. A
well-designed system could reduce uncertainty and help customers make a
confident choice.
Convenience
stores: A shopper selecting a freshly prepared sandwich, hot snack, or
ready-to-eat meal could benefit from clearer ingredient information and
suggestions for combining food and beverages. That could help transform an
individual purchase into a more complete meal occasion.
Grocery
delis: A customer choosing among prepared entrees, sides, and heat-and-eat
options could use conversational guidance to assemble dinner for one person or
an entire family. Better discovery could make the deli more useful as a
destination for tonight’s meal.
These
are potential applications, not proven outcomes from Square’s new kiosk.
Accuracy
is essential, especially when customers ask about allergens. AI should use
verified restaurant information, avoid guessing, and refer customers to a
trained employee when an answer cannot be confirmed. A confident but incorrect
answer can damage trust and create serious safety concerns.
The
larger opportunity is to make menus easier to understand and meals easier to
assemble. That is more valuable than simply moving the ordering process from a
counter to a screen.
2. Hospitality Is More Than Taking an Order
Square’s
goal of combining speed and hospitality is strategically sound. However,
hospitality means more than a friendly greeting followed by a completed
transaction.
A
good employee can explain a menu, recognize a special request, resolve a
problem, recommend a relevant item, and help a customer feel understood. Voice
AI may replicate some of these functions, but it cannot assume every customer
wants the same experience.
Consider
three distinct meal occasions:
·
The commuter wants a fast, predictable
transaction and may appreciate voice ordering if it reduces screen navigation.
·
The family ordering dinner may need
ingredient clarification, substitutions, multiple meals, and reassurance that
every item is correct.
·
The customer exploring a new menu may
value an employee’s recommendation, an explanation of an unfamiliar flavor, or
help understanding portion sizes.
One
ordering interface will not necessarily serve all three equally well.
Square’s
decision to preserve touchscreen ordering and provide an option to turn off
voice is therefore important. Customers should be able to choose how they order
rather than being forced into a technology experience they do not want.
For
operators, the question is whether AI allows employees to spend more time
helping customers and preparing food—or simply removes opportunities for
employees to create a better experience.
Technology
should strengthen hospitality, not redefine hospitality downward to mean merely
completing a transaction.
3. Labor Savings Need a Sales-and-Service Scorecard
Square’s
kiosk is priced at $1,999, with a reported $99 monthly software fee per device.
The announced price includes a mount for counter, wall, or floor installation.
Those
figures offer a starting point for evaluating the investment, but they do not
establish whether the system will pay for itself.
At
the announced pricing, one kiosk would cost $3,187 over its first 12 months:
$1,999 for the hardware plus $1,188 in software fees. That excludes any
additional installation labor, maintenance, downtime, or other operating
expenses.
Restaurants
need to determine whether the kiosk creates incremental economic value.
They
should measure:
1. Order
throughput: Are more customers served during peak periods, and do actual wait
times decline?
2. Labor
productivity: Are employees freed to perform higher-value tasks, or must they
spend time troubleshooting the kiosk and assisting customers?
3. Order
accuracy: Do modifications, substitutions, and special requests reach the
kitchen correctly?
4. Average
check: Does the system increase purchases without making customers feel
pressured?
5. Repeat
business: Do customers return because the experience is genuinely better?
A
restaurant might process more kiosk transactions while losing opportunities to
connect personally with customers. It might also increase order volume only to
create kitchen bottlenecks that erase the gains at the front counter.
The
appropriate metric is not how many customers speak to a machine. It is whether
the entire operation becomes more productive while customers receive better
service.
Operators
should also distinguish between shifting orders from employees to kiosks and
generating genuinely incremental sales. Moving an existing transaction to a
different interface does not automatically create new revenue.
4. The Real Opportunity Is Meal Building, Not Just Order
Taking
The
most promising application of voice AI may be helping customers decide what to
eat.
Foodservice
operators increasingly compete for meal occasions that cross traditional
channel boundaries. A consumer deciding what to eat may consider a restaurant,
a convenience-store prepared meal, a grocery deli entree, takeout, or delivery.
Consumers
do not necessarily organize these choices according to industry categories.
They want food that fits the occasion, budget, schedule, and appetite.
Imagine
a customer asking, “What can I get for lunch that is spicy, filling, and under
$12?” If the restaurant’s menu data supports that request, the kiosk could
narrow the choices and make ordering easier.
Another
customer might ask which available entree pairs well with a particular side.
The system could help build a more complete meal without requiring the customer
to navigate several screens.
These
examples illustrate the potential rather than verified capabilities or results
of Square’s announced product.
For
operators, the strategic lesson is clear: Design technology around consumer
needs rather than merely digitizing an existing menu.
A
screen that reproduces a paper menu has limited strategic value. An interface
that helps customers solve the problem of what to eat could have considerably
more value.
The
same principle applies to grocery delis and convenience-store foodservice. Make
meals easier to discover, assemble, purchase, and enjoy.
5. Upselling Must Deliver Value, Not Just Add Items
Square
says its voice AI will not proactively upsell customers initially, although
upselling will remain part of the on-screen ordering process. The company is
also working toward allowing operators to customize the voice.
These
details matter because the way a recommendation is presented influences how
customers perceive the experience.
A
relevant suggestion can improve a meal. An irrelevant prompt can slow the
transaction and undermine trust.
Consider
three examples:
·
A sandwich customer receives a
suggestion for a side and beverage that create a convenient lunch combination
at a clear price.
·
A family ordering several entrees sees
an appropriate bundle that reduces the cost of assembling dinner.
·
A customer ordering a spicy entree
receives a suggestion for a complementary side or beverage that fits the flavor
profile.
The
commercial objective should be to help customers discover something they
genuinely want—not simply maximize the number of items added to an order.
Operators
should track attachment rates, average checks, promotion redemption, customer
satisfaction, and repeat visits together. An increase in average check is less
impressive if it comes with longer waits, abandoned orders, or declining
customer loyalty.
The
best recommendation delivers value to the customer while generating profitable
sales for the operator.
6. A $1,999 Kiosk Is Not Automatically the Right Investment
for Every Operator
Square
says the device is intended for businesses ranging from single-location coffee
shops to large restaurant chains.
The
announced price may make the hardware accessible to a broad range of operators,
but the total investment involves more than purchasing a screen.
Independent
restaurants must consider the software subscription, installation, available
space, menu-data quality, employee training, and time required to maintain the
system. They must also determine whether customer volume and ordering patterns
justify the expense.
A
high-volume quick-service restaurant with recurring lunchtime queues may have a
different business case from a neighborhood restaurant where customers value
conversation and personal menu guidance.
For
a small operator, the question is not whether a competitor has installed a
kiosk. It is whether the technology solves a specific operational or consumer
problem at a cost the business can justify.
Large
chains may have more resources to test different configurations and compare
results across locations. Smaller businesses may need a disciplined pilot
before committing.
Technology
adoption is not a strategy by itself. Consumer relevance and profitable
execution are the strategy.
7. The Industry Needs Evidence, Not Just a Better
Demonstration
Square’s
kiosk combines a large 21.5-inch display with voice-enabled ordering. It can
detect when a customer approaches and offer a welcome. If the AI cannot answer
a question, the system is designed to bring an employee into the interaction.
These
features may make ordering more approachable. But a polished demonstration
cannot substitute for real-world performance.
Restaurant
operators should pilot the system in comparable locations and evaluate results
against an established baseline. They should also examine performance across
different dayparts, menu categories, customer types, and levels of restaurant
busyness.
The
evaluation should include customers who prefer touchscreens, those who try
voice ordering, and those who still want to order with an employee.
Operators
should ask:
·
Did customers complete orders faster?
·
Were fewer orders abandoned?
·
Did order accuracy improve?
·
Did the system increase profitable
sales?
·
Were employees able to spend more time
helping customers and preparing food?
·
Did customers report a better
experience and indicate that they would return?
Square
expects the experience to improve as AI develops and customers become more
comfortable with it. That may happen, but operators should not treat future
improvements as present-day results.
The
technology must earn its place through evidence.
The Grocerant Guru® Bottom Line
Square’s
voice-AI kiosk addresses a legitimate challenge: how to combine operational
efficiency with a better ordering experience. Its ability to answer menu
questions, support both voice and touch, and involve an employee when necessary
could make it more useful than a conventional self-service terminal.
Yet
the consumer research cited in the announcement signals a warning. Some diners
do not find kiosks appealing, and even more express reservations about voice AI
in the drive-thru. Those attitudes should shape the rollout rather than be
dismissed as resistance to change.
The
broader foodservice opportunity is not to replace every human interaction with
artificial intelligence. It is to use technology where it improves convenience,
discovery, accuracy, and value while preserving human assistance where
consumers want it.
Restaurants,
grocery delis, and convenience stores all compete for the same underlying
prize: becoming a relevant, trusted answer to the consumer’s next meal
occasion.
Square
may have created a useful new tool. The market will decide whether it creates a
better meal experience.
Three Grocerant Guru® Insights
1.
Labor savings are not consumer value.
Square
must demonstrate that voice AI does more than reduce the cost of taking an
order. Faster transactions, fewer errors, easier menu navigation, and better
service must translate into a demonstrably better customer experience. If the
savings never benefit the consumer, operators should not confuse internal
efficiency with customer value.
2.
Menu discovery is the real opportunity.
Consumers
are not simply looking for a way to place an order; they are trying to decide
what’s for dinner, lunch, or their next snack. Voice AI could help customers
navigate flavors, ingredients, meal combinations, and price points. The
competitive advantage belongs to operators that use AI to make choosing a meal
easier—not merely to automate checkout.
3.
Repeat business is the ultimate scorecard.
A
kiosk can process transactions, but only consumers determine whether the
experience deserves another visit. Restaurants must measure customer
satisfaction, order accuracy, profitable add-on sales, repeat visits, and
loyalty alongside labor productivity. Consumers are dynamic, not static.
Technology must evolve with their expectations, not force them to adapt to the
operator’s preferred way of doing business.
The
Grocerant Guru® challenge: Don’t ask how many orders Square’s AI can take. Ask
how many customers it can win, satisfy, and bring back. That’s the difference
between installing technology and building consumer relevance.
For international corporate
presentations, educational forums, or keynotes contact: Steven Johnson
Grocerant Guru® at Tacoma, WA based Foodservice Solutions. His extensive experience as a multi-unit
restaurant operator, consultant, brand / product positioning expert and public
speaking will leave success clues for all. For more information visit
www.GrocerantGuru.com , www.FoodserviceSolutions.us or call 1-253-759-7869


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