AI Phone Agents Cut No-Shows by 40% - The Data Every Service Business Needs

New 2026 data shows AI phone agents cut no-shows by 35-40% and recover $15,000 to $45,000 per year for service businesses. Plus they save 8 hours per week on scheduling.

In this episode, we dig into the numbers, explain why voice beats text for reminders, and walk through exactly what AI phone agents do for service businesses.

 Full blog post: https://go.speedmobi.com/ai-phone-agents-cut-no-shows-service-bus-pod

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Transcript

SPEAKER_02 0:00

Imagine taking $86,000 in cash, stacking it into a neat little pile right in the middle of your office, and just, you know, lighting it on fire every single year.

SPEAKER_01 0:09

Yeah. That is a painful image.

SPEAKER_02 0:11

Right. But if you run a local service business or if you consult for one, you might already be doing exactly that. And you probably just call it the cost of doing business.

SPEAKER_01 0:20

Which is wild when you really think about it.

SPEAKER_02 0:22

It really is. So today we are talking directly to you, the listener who wants to understand the hidden mechanics of time, money, and efficiency. Because we are looking at a multi-billion dollar blind spot in the service industry, the dreaded no-show customer. Trevor Burrus, Jr.

SPEAKER_01 0:39

It is a phenomenal problem to study because, well, for decades it was completely normalized.

SPEAKER_02 0:44

Trevor Burrus, Jr.: Correct, like an unavoidable act of nature.

SPEAKER_01 0:46

Trevor Burrus, Jr.: Exactly. Scheduled appointment just ghosting you was treated like bad weather. But uh our source materials today reveal a massive structural shift.

SPEAKER_02 0:54

Aaron Powell A shift in how we handle these ghosts.

SPEAKER_01 0:56

Aaron Powell Yeah. We are not just talking about fixing a minor scheduling glitch here. We are looking at how service businesses are currently recovering massive amounts of lost capital and doing it without having to hire a single extra human being.

SPEAKER_02 1:10

And the data we have on this is incredibly fresh. We are pulling from a stack of 2026 industry intelligence.

SPEAKER_01 1:17

Some really fascinating stuff in there.

SPEAKER_02 1:18

Oh, absolutely. We've got performance data from Shamrock, deep industry analysis from 8AI News, scheduling benchmarks from Epiphany Dynamics, and some really eye-opening consumer behavior data from Bright Local.

SPEAKER_00 1:32

That bright local data is particularly striking.

SPEAKER_02 1:35

It is. So the mission for this deep dive into the sources is simple. We want to figure out how artificial intelligence is stepping in to solve this massive leak in the bucket.

SPEAKER_00 1:43

It's a big leak.

SPEAKER_02 1:44

Okay, let's unpack this. Because before we can talk about the cure, we really have to diagnose the disease. Why is a no-show so much worse than just having an empty slot on your calendar?

SPEAKER_01 1:54

Well, to understand that, you really have to separate unbooked inventory from perishable inventory.

SPEAKER_02 1:59

Okay, what's the difference there?

SPEAKER_01 2:01

So an empty slot that you knew about in advance is just like unbooked time. You can plan around it, maybe allocate your staff elsewhere, or just catch up on paperwork.

SPEAKER_02 2:10

Right. You have a heads up.

SPEAKER_01 2:11

Exactly. A no-show, however, is a destructive event with cascading operational effects.

SPEAKER_02 2:18

Cascading how?

SPEAKER_01 2:20

Well, first, the time slot is instantly wasted. Because the clock is literally ticking. You cannot pivot and sell that hour to someone else.

SPEAKER_02 2:28

Right. It's gone forever. You can't put it back on the shelf.

SPEAKER_01 2:31

No, you can't. It is perishable inventory that just expired in your hands. And, you know, the damage doesn't stop there.

SPEAKER_02 2:38

What's the second effect?

SPEAKER_01 2:39

The second effect is that your entire schedule is disrupted.

SPEAKER_02 2:42

Right.

SPEAKER_01 2:42

I mean, you might have actually turned away three other paying customers on Tuesday because that specific Thursday morning slot was reserved.

SPEAKER_00 2:48

Oh wow.

SPEAKER_01 2:49

Yeah. So you take a double hit, you lost the money from the person who ghosted, and you proactively threw away money from the people you turned down.

SPEAKER_02 2:55

That is brutal.

SPEAKER_01 2:57

But the third effect, and this is what really crushes service businesses, is what the industry calls the truck already rolled.

SPEAKER_02 3:03

Ugh okay. Let me try to visualize that. Imagine you run a high-end restaurant, a customer makes a reservation for 7 p.m. You custom cook a beautiful three-course premium meal just for them.

SPEAKER_01 3:17

A great analogy.

SPEAKER_02 3:18

Right. And you keep the best table in the house reserved and completely empty while a massive line of hungry people forms outside. The customer never shows up, so you literally scrape the freshly cooked food into the trash.

SPEAKER_01 3:30

Painful, but true.

SPEAKER_02 3:31

But like in the home service industry, the restaurant didn't just throw the food away. They also paid a driver twenty dollars an hour to drive a delivery truck to your house to deliver it, only to find the porch lights off and no one home.

SPEAKER_01 3:44

That analogy perfectly isolates the active financial loss. Yeah. I mean the fuel in the tank is gone, the labor costs for the technician's travel time are gone, and the opportunity cost is completely evaporated. A total loss. Exactly. And when we look at the industry benchmarks from our sources, the scale of this behavior is just staggering.

SPEAKER_02 4:03

Let's hear the numbers.

SPEAKER_01 4:04

Medical and dental offices are suffering a 15 to 30 percent no-show rate. Yeah. Home services, which refers to your heating, ventilation, and air conditioning, your HVAC, plumbing, and electrical, they are sitting at a 10 to 20 percent failure rate.

SPEAKER_02 4:20

That is a lot of empty trucks.

SPEAKER_01 4:22

It is. Personal services like salons and fitness centers see 20 to 30 percent. Even professional services like uh legal and financial consulting lose 5 to 15 percent of their book time to people simply not showing up.

SPEAKER_02 4:35

Those percentages sound almost abstract until you force them into a daily reality. The data points out that if a business runs just 20 appointments a day and they have a highly conservative 10% no-show rate.

SPEAKER_01 4:46

Which is very conservative.

SPEAKER_02 4:47

Right. That is two missed appointments every single day, 40 a month, 480 missed appointments a year.

SPEAKER_01 4:52

Which is huge.

SPEAKER_02 4:53

That is almost 500 times the truck rolled for absolutely nothing.

SPEAKER_01 4:57

Aaron Powell Which brings us to the core tension in the source material. Yeah. Because the immediate, you know, defensive thought anyone has when hearing these numbers is well, we have cheap technology for this.

SPEAKER_02 5:08

Right. Just send an automated text reminder. Yes. That is exactly where my head went. I get texts from my dentist all the time, like type C to confirm, type X to cancel. Why hasn't that solved the problem?

SPEAKER_01 5:20

Aaron Ross Powell What's fascinating here is the psychology behind how humans process text messages versus how we process voice.

SPEAKER_02 5:29

Aaron Powell Okay, tell me more about that.

SPEAKER_01 5:30

The data shows that text reminders do help somewhat, but they only reduce no shows by about 15 to 20 percent. They are at best a half measure.

SPEAKER_02 5:40

Aaron Powell Why is that?

SPEAKER_01 5:41

The reason comes down to the cognitive load of human behavior. A text message is entirely asynchronous. It provides a read receipt without any actual accountability.

SPEAKER_02 5:51

Meaning I can look at the text, register that I have an appointment tomorrow, but I don't feel any social pressure to respond right in that second.

SPEAKER_01 5:58

Precisely. When a customer receives that text, they mentally acknowledge it, but they tell themselves, oh, I am driving right now, or I'm cooking dinner, I will confirm that later.

SPEAKER_02 6:07

But later never comes.

SPEAKER_01 6:09

Exactly. The text is buried under 15 other notifications. A voice call, on the other hand, creates an immediate social contract.

SPEAKER_02 6:16

Because there's a person there.

SPEAKER_01 6:17

Right. When a customer picks up the phone and speaks to a voice on the other end, they are forced into the present moment. They have to either confirm the appointment right then and there or navigate the friction of rescheduling on the spot.

SPEAKER_02 6:29

Aaron Powell But you entirely strip away the illusion of I will handle it later.

SPEAKER_01 6:32

You do. Voice also catches scheduling conflicts much earlier, which you know allows the business to open that slot back up to the public.

SPEAKER_02 6:40

Aaron Powell Let me push back on this though.

SPEAKER_01 6:42

Sure.

SPEAKER_02 6:42

Because if I am looking at my phone and I get a call from an unknown local number and I answer it only to hear a robotic voice saying, press one to confirm your appointment.

SPEAKER_00 6:52

Oh yeah.

SPEAKER_02 6:52

I am hanging up immediately. I might even block the number. Aren't automated calls universally hated? How is this AI solution any different from a terrible robocall from 2015?

SPEAKER_01 7:03

Aaron Ross Powell That is a crucial distinction. And the sources draw a very thick line here. We are not talking about pre-recorded robocalls or uh rigid decision tree bots.

SPEAKER_02 7:12

Okay.

SPEAKER_01 7:13

Those are dead technologies. We are looking at modern conversational AI systems powered by large language models.

SPEAKER_02 7:20

Aaron Powell So they actually sound human.

SPEAKER_01 7:21

Aaron Powell Yes. These agents do not sound like robots and they do not talk at you. They actually listen, process intent, and negotiate.

SPEAKER_02 7:28

Aaron Powell How does that sound in practice?

SPEAKER_01 7:31

They might say, Hi, this is Sarah calling from Smith Plumbing to confirm your maintenance check tomorrow at 2 p.m. Does that still work for you? And then they pause. They actually listen.

SPEAKER_02 7:40

Aaron Powell Okay, but what if I don't give a simple yes or no?

SPEAKER_01 7:43

What do you mean?

SPEAKER_02 7:44

What if I have a thick accent or I say something messy like, actually my kid is sick, I need to pick them up from school at two, but maybe my wife is home. Actually, no, we need to move it. Does the system just crash?

SPEAKER_01 7:55

Aaron Powell Not at all. The current generation of AI understands that exact kind of messy human context. It recognizes the hesitation and the ultimate need to reschedule.

SPEAKER_00 8:06

Wow. Brilliant.

SPEAKER_01 8:07

Yeah. It responds intelligently with natural latency, sometimes even using filler words like um, or let me check, to mimic human conversational pacing.

SPEAKER_00 8:15

That is wild.

SPEAKER_01 8:16

It might respond, no problem at all. I hope your kid feels better. We have a 4 p.m. opening tomorrow, or we could look at Thursday morning, which is better for you.

SPEAKER_02 8:24

So the customer feels heard.

SPEAKER_01 8:25

Exactly. The customer feels like their specific, nuanced situation is being handled, not that they're just a data point being shuffled around.

SPEAKER_02 8:34

Here's where it gets really interesting. Because if this AI is capable of having that fluid back and forth conversation, it isn't just a fancy reminder system.

SPEAKER_01 8:44

No, it's not.

SPEAKER_02 8:45

It is actively managing the calendar. But how does it mechanically do that without double booking a slot that a human receptionist is trying to fill at the exact same time?

SPEAKER_01 8:55

That is a great question.

SPEAKER_02 8:57

I mean, what does this AI Swiss Army knife actually do under the hood?

SPEAKER_01 9:01

Think of the AI less like a robot making phone calls and more like a fiercely protective bouncer for your calendar software.

SPEAKER_02 9:08

A bouncer, I like that.

SPEAKER_01 9:09

Mechanically, it uses API integrations to constantly sync with the business's existing scheduling software.

SPEAKER_02 9:15

In real time.

SPEAKER_01 9:16

Yes. If it is on the phone with a customer negotiating a Thursday slot, it places a temporary lock on that slot in the system, just like a human receptionist would, so no one else can book it while they are talking.

SPEAKER_02 9:27

So it's talking to the human on the phone and whispering to the scheduling software in the background at the exact same time.

SPEAKER_01 9:34

Yes, exactly. And its primary job operates on several fronts. First, it makes those proactive calls 24 to 48 hours out to lock in that social contract we discussed.

SPEAKER_00 9:44

Right.

SPEAKER_01 9:45

But its real operational superpower is how it handles the fallout of a cancellation.

SPEAKER_02 9:50

Aaron Powell Because cancellations are an unavoidable reality. I mean, people get sick, cars break down, meetings run late.

SPEAKER_01 9:58

Right. When a human receptionist takes a cancellation, they usually scratch it off the calendar, maybe let out a frustrated sigh, and then go back to the five other administrative fires they were fighting.

SPEAKER_02 10:07

Aaron Powell And the slot just stays empty.

SPEAKER_01 10:09

Exactly. The slot stays empty. But when the AI takes a cancellation, it instantly pivots into recovery mode.

SPEAKER_02 10:16

What does it do?

SPEAKER_01 10:16

It immediately scans the wait list or identifies customers who have appointments booked weeks out and it reaches out to them to offer the newly opened slot.

SPEAKER_02 10:24

That is so smart.

SPEAKER_01 10:25

The Epiphany Dynamics data shows this smart wait list rebooking drives same-day fill rates up by an incredible 34%.

SPEAKER_02 10:33

It is basically playing Tetris with the business's schedule in real time. A block disappears in the middle of the board, and the AI instantly rotates another block to fill the hole, perfectly seamlessly, before the business owner even realizes there was a gap.

SPEAKER_01 10:49

That's exactly what it's doing.

SPEAKER_02 10:51

Yeah.

SPEAKER_01 10:51

And it plays that game of Tetris around the clock. One of the most critical functions highlighted in our sources is after hours handling.

SPEAKER_02 10:59

Oh, that makes sense.

SPEAKER_01 11:00

Imagine a homeowner whose air conditioning completely dies at 9 p.m. in the middle of a July heat wave. They are panicked.

SPEAKER_02 11:08

Oh yeah. They pull out their phone and call the first HVSE company they see on Google.

SPEAKER_01 11:13

And if they get a voicemail, they do not leave a message. They hang up and call the second company and the third until a human being answers the phone.

SPEAKER_02 11:21

Because they want a solution right now, not a promise to call back tomorrow.

SPEAKER_01 11:24

Exactly. But with the AI voice agent integrated, that 9 p.m. phone call is answered on the second ring.

SPEAKER_00 11:30

Wow.

SPEAKER_01 11:31

The AI gathers the customer's information, answers common emergency questions, and actually books the priority appointment for the next morning.

SPEAKER_02 11:38

So it secures the revenue that would have undeniably gone to a competitor five minutes later.

SPEAKER_01 11:44

Yes. And as a final layer of service, it immediately sends a follow-up text with all the written details, providing the panic customer with a hard copy of what was agreed upon.

SPEAKER_02 11:53

The compounding effect of offloading all of this friction, the back and forth calling, the waitless Tetris, the after hours panic answering the data, says this saves an average of eight hours per week per professional.

SPEAKER_00 12:05

It's massive.

SPEAKER_02 12:06

That is an entire working day given back to the staff every single week.

SPEAKER_01 12:10

Aaron Powell Which is a massive quality of life upgrade for the staff. But to truly understand the structural shift happening here, we have to move beyond just time saved.

SPEAKER_00 12:20

Right.

SPEAKER_01 12:21

We have to translate those filled slots into hard, undeniable dollars.

SPEAKER_02 12:25

Aaron Powell So we know it saves time, but how does this actually translate to the bottom line? Because a missed 15-minute slot isn't just an annoyance, it's a financial leak.

SPEAKER_00 12:33

The huge leak.

SPEAKER_02 12:34

Let's look at the exact math from the sources because seeing the sheer volume of money at stake is what really shocked me. Let's start with that HVAC company, the classic truck roll business with active travel costs.

SPEAKER_01 12:46

Aaron Powell Okay, let's run the numbers. Say an HVAC company has an average job value of $300. They run a modest eight appointments a day.

SPEAKER_00 12:55

Got it.

SPEAKER_01 12:55

Based on the industry average, they're suffering a 15% no-show rate. That means they are missing 24 scheduled appointments a month.

SPEAKER_02 13:02

Aaron Powell Wait, 24 missed appointments times $300, that comes out to over $7,000 lost every single month. Yes. That is $86,400 lost annually. I mean, that is the entire salary of a senior technician. That is a brand new, fully equipped fleet vehicle. Poof, gone, burned in the pile in the office.

SPEAKER_01 13:21

And that is a highly conservative estimate. Now the business implements an AI phone agent.

SPEAKER_02 13:25

Okay.

SPEAKER_01 13:25

The data shows a 40% reduction in no shows using this voice AI system. That drops their 15% failure rate down to 9%.

SPEAKER_02 13:32

So what does that look like in dollars?

SPEAKER_01 13:33

Aaron Powell Which means instead of missing 24 appointments a month, they're only missing about 14. They just recovered $2,880 a month or $34,560 per year.

SPEAKER_02 13:45

That is cash added directly back to the top line without spending a single extra dime on marketing or customer acquisition.

SPEAKER_00 13:52

Exactly.

SPEAKER_02 13:52

But that is just for a business doing a few long appointments a day. What about a high volume business? Something like a dental office where they are churning through chairs all day long.

SPEAKER_01 14:02

The mathematical hemorrhage gets even more intense there.

SPEAKER_02 14:04

That's here.

SPEAKER_01 14:05

Take a dental office with an average appointment value of $250, running 15 appointments a day per dentist, facing a 20% no-show rate.

SPEAKER_02 14:14

Okay.

SPEAKER_01 14:14

That is 60 missed appointments a month.

SPEAKER_02 14:17

60 empty chairs a month. That is $15,000 lost every 30 days. $180,000 lost annually.

SPEAKER_01 14:23

Yeah.

SPEAKER_02 14:23

You could buy massive equipment upgrades or fund a partner's retirement with that.

SPEAKER_01 14:27

So apply the AI agent's 40% reduction to that dental practice. The no-show rate drops to 12%. Missed appointments fall to $36 a month.

SPEAKER_02 14:36

That's a big drop.

SPEAKER_01 14:37

They are suddenly recovering $6,000 monthly, which translates to $72,000 a year in recovered revenue.

SPEAKER_02 14:45

Unbelievable.

SPEAKER_01 14:45

Across the entire service industry, the sources indicate that the revenue recovered per provider ranges from $15,000 to $45,000 a year, simply by ensuring people actually honor the social contract they made.

SPEAKER_02 14:59

And as I look at these numbers, I have to wonder who this hurts the most. It's obviously huge for high volume practices, and we covered the truck roll businesses. Right. But the sources also point out the devastation for businesses with long appointment blocks. Think about a specialized consultant or a salon.

SPEAKER_00 15:15

Absolutely.

SPEAKER_02 15:15

If someone no-shows a quick 15-minute checkup, it's annoying, but you grab a coffee and move on. If a client ghosts a two-hour reserved slot, that creates a devastating crater in your daily revenue that you cannot fix.

SPEAKER_00 15:27

They really can't.

SPEAKER_02 15:27

And seasonal businesses. If you are a roofer during storm season or an AC tech in a heat wave, every single missed slot isn't just lost money. It's another customer who desperately wanted your help, but you gave their slot to a ghost.

SPEAKER_01 15:40

This raises an important question. How many local businesses are currently bleeding out and don't even know it?

SPEAKER_02 15:46

Right.

SPEAKER_01 15:46

Because the reality of the service industry is that a huge percentage of business owners simply do not track this metric. They feel the vague, stressful pain of a slow day, but they remain in blissful ignorance of the exact financial haemorrhage.

SPEAKER_02 16:02

Which naturally brings us to the roadmap. For the listener out there who is hearing these dollar amounts, looking at their own calendar and breaking into a cold sweat, the source data doesn't just point out the problem.

SPEAKER_00 16:14

It gives a solution.

SPEAKER_02 16:15

Right. It provides a clear, six-step implementation plan to systematically stop the bleeding. But I imagine step one is a massive psychological hurdle.

SPEAKER_01 16:24

It absolutely is. Because step one is the reality check. Track your baseline no-show rate for two solid weeks. And that terrifies people.

SPEAKER_02 16:33

Because they don't want to know.

SPEAKER_01 16:34

Exactly. You cannot guess. You have to tally every single missed appointment and divide it by your total appointments to find your actual failure rate.

SPEAKER_02 16:42

Okay, what is step two?

SPEAKER_01 16:43

Step two is facing the hard truth. Calculate the actual cost. Multiply that failure rate by your average job value.

SPEAKER_02 16:53

That's where the pain really sets in.

SPEAKER_01 16:55

Once a business owner actually sees that brutal number on a piece of paper, step three becomes a very easy decision, which is implementing the AI phone agents, starting simply with proactive appointment confirmation calls.

SPEAKER_02 17:08

So you don't turn all the features on at once. You just start by letting the AI handle the confirmation outbound calls to build that social contract.

SPEAKER_01 17:16

Exactly right. Once you are comfortable with that, step four is adding the smart rebooking feature. So when those inevitable cancellations do happen, the AI is automatically playing Tetris to patch the hole.

SPEAKER_02 17:26

Love that.

SPEAKER_01 17:27

Step five is enabling the after hours answering to capture those off-the-clock panic callers. And finally, step six is measurement and verification.

SPEAKER_02 17:35

To see if it worked.

SPEAKER_01 17:36

Right. After 30 days in the system running, recalculate your no-show rate and look at the actual revenue impact to prove the return on investment.

SPEAKER_02 17:44

It's a very clean, logical progression. Diagnose the exact size of the wound, apply the treatment and layers, and then verify the cure.

SPEAKER_01 17:52

If we connect this to the bigger picture, the sources reveal that this isn't just a clever technical fix for scheduling.

SPEAKER_02 17:58

What else is it?

SPEAKER_01 17:59

This represents a macroeconomic shift in how small businesses are forced to operate today, which is heavily validated by the bright local consumer behavior data.

SPEAKER_02 18:08

Oh, right, the bright local data.

SPEAKER_01 18:09

That specific data set tells us that 83% of customers today expect a response from a business within 10 minutes of reaching out.

SPEAKER_02 18:18

10 minutes? That is an unbelievable amount of pressure on a small business owner who might literally be lying under a sink with a wrench trying to fix a pipe.

SPEAKER_01 18:26

Exactly.

SPEAKER_02 18:26

How on earth can a three-person plumbing company meet the customer service expectations of a Fortune 500 company?

SPEAKER_01 18:33

They usually can't, which is why they lose out to bigger competitors. Most local businesses cannot afford to hire a full-time receptionist dedicated entirely to fielding calls within a 10-minute window.

SPEAKER_02 18:44

That would be so expensive.

SPEAKER_01 18:45

The average cost for a reliable administrative role like that is between $35,000 and $45,000 a year, plus benefits. But these conversational AI phone agents cost a tiny fraction of that salary, and they work 2047 without taking a sick day or a lunch break.

SPEAKER_00 19:02

Wow.

SPEAKER_01 19:02

They provide continuous high-quality safety net where callers never hit a voicemail dead end. And crucially, it removes the burden from the existing human staff.

SPEAKER_02 19:12

So the staff can actually breathe.

SPEAKER_01 19:14

Yes. When you take the endless phone tag off the office manager's plate, they can start focusing on complex problem solving, customer relationship building, and the nuanced tasks that only a human brain can handle.

SPEAKER_02 19:26

So what does this all mean? If we distill everything we've explored in our sources today, the core takeaway is that the silent killer of the service industry, the ghosting customer, is no longer an unavoidable act of nature.

SPEAKER_00 19:36

It really isn't.

SPEAKER_02 19:37

By moving away from passive, easily ignored text messages and embracing dynamic conversational AI voice agents, businesses are forcing real-time social commitments. They are taking empty calendar slots and transforming them into $15,000 to $45,000 of recovered capital per provider every single year. And they are pulling off this magic trick while rescuing an entire working day of administrative time a week for their staff.

SPEAKER_01 20:02

It is a complete paradigm shift in what it means to be operationally efficient.

SPEAKER_02 20:06

It really is.

SPEAKER_01 20:07

It absolutely is a paradigm shift. And the data leaves us with something quite profound to consider as this technology becomes the new normal.

SPEAKER_02 20:14

What's that?

SPEAKER_01 20:15

Well, if artificial intelligence can now perfectly handle all the logistics, the tedious scheduling, the endless game of calendar Tetris, and providing flawless immediate responses 204-7, how does that redefine the human element of a local business?

SPEAKER_02 20:30

That's a great point.

SPEAKER_01 20:31

Does this level of hyper efficiency risk making a beloved local mom and pop shop feel like a faceless automated corporation? Or uh, well, does taking the phone out of the staff's hands actually free them up to be vastly more present, more attentive, and more uniquely human when you, the customer, finally walk through the front door?

SPEAKER_02 20:49

Aaron Powell That is a fascinating lens to look through. As you look at your own calendar this week and the appointments you have booked, think about that balance.

SPEAKER_01 20:57

It's important to think about.

SPEAKER_02 20:58

Think about how the friction of daily logistics is slowly disappearing through technology and what we choose to do with the time and energy we get back. Are we just filling the empty table or are we actually improving the quality of the meal? Food for thought. Keep learning, keep optimizing, and we will catch you on the next deep dive.