Modern Solutions for Modern Restaurants

This episode revisits the 2021–2022 wave of restaurant Web3 experiments—Taco Bell, McDonald’s, Burger King, Applebee’s, Chipotle, Bored & Hungry, and Starbucks Odyssey—and explains why none are still running by 2026. Paul Molinari argues the failures stemmed from being marketing campaigns instead of products, offering ownership without useful utility, inviting speculation that undermined loyalty, and adding customer friction through wallets and other crypto steps. He then spotlights Blackbird, founded by Ben Leventhal (Eater, Resy), which quietly uses tokens and NFTs under the hood to power a shared cross-restaurant currency ($FLY) and a payments product (Blackbird Pay) charging a flat 2% transaction fee. The takeaway: focus on outcomes like fee savings and portable loyalty, not Web3 vocabulary or architecture. Visit: Popcorn GTM at https://popcorngtm.com 
00:00 NFT Restaurant Mania
02:10 Early Brand Stunts
04:25 Bored Ape Burger Reality
05:39 Starbucks Odyssey Rise
08:40 Why Web3 Loyalty Died
09:16 Four Causes of Death
14:57 Two Ideas Survive
15:57 Blackbird Explained
17:58 Payments and Network Effects
21:51 Does Blockchain Matter
23:02 Operator Vetting Playbook
25:18 What to Watch Next
26:22 Final Takeaways

Paul Molinari breaks down the true cost of third-party delivery by framing fees as a “delivery tax stack”: (1) commissions that can cut a restaurant’s profit dramatically (with mid-2026 tiers ranging roughly 15–30% across DoorDash, Uber Eats, and Grubhub, and effective costs often reaching 35–45% after packaging, processing, promos, and refunds), (2) “marketing reclassification,” highlighted by New York City’s post-2025 fee structure allowing up to 43% total with itemized buckets including a capped 5% marketing/visibility charge, and (3) the acquisition value apps can provide (e.g., 37% of consumers discover restaurants via apps and 55% of DoorDash first-time orders come from browsing). He argues most operators don’t measure CAC or contribution margin by channel, urges itemizing delivery costs internally, and recommends using marketplaces for discovery while converting customers to direct ordering to reduce ongoing channel costs.

The QR code menu won the adoption war and lost the popularity contest. Roughly 75% of restaurants use them. In a blind survey of 850 diners, exactly 1% called them their favorite way to view a menu.
This week, Paul puts the sticker on trial. First, an honest steel-man for the code: $5K a year in printing savings, 30-second menu updates, first-party data at the moment of decision, and a 15% lift in table turnover from QR payments. Then the case for the human: the survey data showing half of guests say QR menus make the night worse, proof that even 86% of Gen Z wants the phone to go away, and the swordfish story that shows why a server with a story is the highest-converting sales channel a restaurant owns. No ad spend. No CAC. Three feet from the buyer.
The verdict is a framework, not a side: code does logistics, people do meaning. Plus where the line falls for culture-driven brands like Slutty Vegan versus legacy chains, the P&L trap that hides loyalty erosion, and the one stat that proves even the QR code needs a human to sell it.
Homework: walk your dining room this week, watch the first sixty seconds at three tables, and decide on purpose what your opening scene should be.
Modern Solutions for Modern Restaurants is hosted by Paul Molinari, founder of Popcorn GTM, on the Savor FM Network. More at popcorngtm.com.

The National Restaurant Association just asked Congress for a two-year delay on a federal ban that could wipe out a $1.6B opportunity for restaurants. Paul Molinari breaks down the THC beverage story hiding in plain sight: a November 12, 2026 deadline, thin margins pushing operators toward low-dose THC drinks as alcohol alternatives, and a tech and insurance gap nobody's built for yet.
The clock, the money, and the gap. Modern Solutions for Modern Restaurants.

McDonald's just rewrote their playbook. Here's what it really means for the restaurant tech industry.
McDonald's unveiled McDonald's > NEXT — a sweeping new strategy covering menu upgrades, influencer marketing, restaurant redesigns, and a brand new AI operating system called ArchIQ. CEO Chris Kempczinski's message was blunt: "In a world where every restaurant is a swipe away, there is no such thing as second place."
But here's the thing — McDonald's has been down this road before. Dynamic Yield. IBM. The Automated Order Taker. $300M acquisitions and viral drive-thru fails. So what's actually different this time? And more importantly — what does it mean for every operator, founder, and tech vendor competing in this space?
In this episode of Modern Solutions for Modern Restaurants, Paul Molinari breaks down:
🍟 The four pillars of McDonald's NEXT — and the one most people are completely underrating. ArchIQ explained — why this AI operating system is a fundamentally smarter bet than what IBM tried to build. The honest retrospective — Dynamic Yield, AOT, McD Tech Labs, and the hard lessons from 2019–2024. The ripple effects — what this means for QSR tech vendors, franchisees, implementation partners, and operators at every level. The hospitality paradox — why the more automated McDonald's gets, the MORE important human connection becomes
If you're in restaurant technology — building, selling, or partnering — McDonald's isn't just a case study anymore. They might be your next competitor.  More MSMR at https://popcorngtm.com 

Restaurant operators are sitting on more data than ever — and more confused about what to do with it than ever. In this episode of Modern Solutions for Modern Restaurants, Paul Molinari sits down with Eric Lehto, CEO of OpSage by CONVX, to cut through the noise around AI in restaurants and get honest about what it actually takes to make it work.
Eric has spent years inside the data strategy conversations that multi-unit operators rarely share publicly — the ones where a single brand has 10 or 12 disconnected systems, two different POS platforms that don't talk to each other, soft drink flavors that only exist in inventory, and franchisee P&L reports arriving as manual spreadsheets. The data problem, he explains, is bigger and more expensive than most operators realize — and almost impossible to solve with legacy BI tools or general-purpose AI alone.
00:00 AI Promise vs Reality
01:33 Operator Data Chaos Story
06:10 Why Restaurant Data Is Hard
07:50 AI for Cleaning Data
08:28 Restaurant AI Needs Context
11:16 Why POS Cannot Solve It
12:39 Building AI Ready Data
15:22 Security and Zero Trust
20:53 Integration Expectations
24:46 Why Not Just ChatGPT
28:00 Monday Morning With AI
31:28 Ask Your Restaurant Anything
33:28 Final Advice and Wrap UpEpisode links:OpSage: https://opsage.com Eric Lehto: https://www.linkedin.com/in/elehto/

Restaurant labor is an unparalleled growth engine for skill development and leadership. Whether you've worked a shift in a dining room or managed a busy kitchen, these transferable skills are invaluable in any industry. This episode challenges the misconceptions about restaurant jobs and highlights their role in fostering unmatched personal and professional growth. From teamwork to technology fluency, learn why your next great hire might just come from a restaurant background. 

In this episode of Modern Solutions for Modern Restaurants, Paul Molinari of Popcorn GTM talks with Coca-Cola’s Angela Diffly and Freestyle’s Anthony Bonitatibus about Coca-Cola Freestyle as a connected restaurant technology platform, not just a touchscreen beverage dispenser. They explain how Freestyle functions as an insights engine that turns every pour into data operators can use, and how it can integrate via API with POS, loyalty, back-of-house systems, digital ordering, and first-party apps (with Wendy’s cited as an example). They discuss how Freestyle drives beverage volume through customization, offers hundreds of recipes and many zero-sugar options, and uses microdosing cartridge tech that saves back-of-house space and reduces crew burden. The conversation covers rapid promotion rollouts, custom flavors, “dirty soda” execution, an AI-driven Share a Coke Freestyle activation, and how partners use geographic and brand performance insights to merchandise and promote effectively.

It's another Thirsty Thursday! Paul and Matt interview Sterling Douglass, co-founder and CEO of Chowly, about building the company over a decade from POS integrations into an off-premise platform serving 17,000+ restaurants and the shift from “tablet hell” to today’s dashboard overload. Sterling argues restaurants are embracing the AI wave and that open data access and APIs will beat walled gardens. He explains why Chowly chose to focus on the underserved SMB segment over enterprise, how third-party marketplaces can be partners while Chowly’s dynamic pricing helps operators protect margins, and what operators should look for in acquisitions, emphasizing real product integration and clear customer communication. Sterling also shares stories of SMBs using AI for targeted marketing, discusses Chowly’s platform additions (first-party ordering, loyalty, digital marketing), and previews his new “AI for restaurants” podcast with Aaron Newton of Thanx.This episode is sponsored by OGC - visit: https://onegoalconsulting.com 

Paul Molinari breaks down why April 15 Tax Day restaurant promotions (free items, BOGOs, and 10.40-themed discounts from brands like Burger King, Krispy Kreme, Shake Shack, Potbelly, BJ’s Brewhouse, Hooters, and Grubhub) are really loyalty and data-capture strategies built on sophisticated tech stacks. He explains the behind-the-scenes requirements—CRM, segmentation, promo validation, POS integration, real-time data pipelines, and fraud prevention—and why weak “plumbing” can turn a brand moment into a customer service failure. He argues most operators run tactics without strategy: they skip pre/during/post campaign design, can’t measure outcomes like retention and LTV due to poor POS-loyalty integration, and think transactionally instead of relationally. Finally, he says the promo-code era is becoming table stakes and will give way to AI-driven personalized offers built on clean, connected, real-time data. Marketing help? Visit: https://popcorngtm.com 
 
00:00 Tax Day Deals Explained
01:43 2026 Promo Roundup
03:00 Apps Codes Data Capture
03:39 Behind the Scenes Tech
06:39 Strategy Gaps Operators Miss
08:01 Measuring Retention Not Redemptions
10:09 From Promo Codes to Personalization
12:15 AI Powered Offer Engines
13:42 Key Takeaways and Future
15:10 Calendar Marketing Discipline
15:44 Wrap Up and Call to Action