Restaurant Tech Trends

Justin Foster

On Restaurant Tech Trends, we interview movers and shakers in the restaurant industry to identify how technology is changing the way multi-unit restaurants work.

  1. APR 30

    David Cantu, CEO @ Craftable

    🏢 FROM THE FLOOR TO THE BACK OFFICE 🏢 On today's 🍔Restaurant 🤖Tech 📈Trends I sit down with David Cantu, CEO of Craftable and former co-founder of HotSchedules. David started on the floor at Outback Steakhouse and PF Chang's, then turned that operator DNA into a 20+ year run building tech that powers hospitality. Watch this for an insider's look into how David and the Craftable team are helping 😮80,000+ operators😮 protect their margins today 🚀 📺WATCH AND LEARN📺 👉 The origin story of HotSchedules, born out of a real problem he was solving as a PF Chang's GM. See how the team bootstrapped through the dot-com implosion and 9/11 before scaling over a decade - all before ever taking a dime of PE money 👉 Why David believes the current AI wave is forcing legacy platforms to rebuild themselves from the ground up, and how Craftable rebuilt its architecture to be AI-native 🤖 👉 How Craftable surfaces margin erosion signals in real time, from a 35% spike in lime prices to kilowatt-level waste, and why visibility alone drove a 600 basis point P&L improvement at a restaurant David recently operated 📈 ➕ PLUS: David's candid take on the Founder's Dilemma and knowing when to self-select out, plus why ops-led tech buying usually beats CFO-led ➕➕ PLUS PLUS: Rapid fire answers on lettuce wraps vs bloomin' onion and the most overlooked line item that kills restaurant margins Thank you David for sharing your hard-won wisdom from 20+ years of building in this industry. 🚀

    33 min
  2. APR 7

    Zach Richard, Sr. Director of Data Science @ McDonald's

    🍟 THE GOLDEN ARCHES PULLED UP TO THE PODCAST 🍟 Today on 🍔Restaurant 🤖Tech 📈Trends I sit down with Zachary Richard, Senior Director of Data Science at McDonald's. If you've ever wondered what it looks like when the world's most recognized restaurant brand puts serious firepower behind data and AI... this is the episode for you. 📺WATCH AND LEARN📺 👉 How Zach helped build McDonald's data science function from the ground up - including the messy reality of centralizing analytics inside a 75-year-old, heavily franchised global organization where even basic data like "does this location have a drive-thru?" wasn't always reliably available 👉 Why McDonald's treats its business as a three-legged stool of customers, crew, and corporate - and the hard lesson Zach's team had to learn about why the math alone will never be enough to move the needle at scale 👉 The surprising insight hiding inside McDonald's AI drive-thru data: it's not just an ops play. Voice AI can generate a never-before-available direct signal into customer behavior - what people order, what they ask for when it's unavailable, and whether LTO availability windows are actually calibrated correctly 👉 Why Zach believes the real long-term value of generative AI isn't just the solution you deploy - it's the novel data that gets created as a result, and how smart operators will use that data to drive decisions across menu, marketing, and supply chain 👉 The edge computing vision Zach is most excited about: AI-powered crew enablement tools that let a crew member snap a photo of a broken piece of equipment and instantly get the exact fix they need - right on their phone, without leaving the floor 👉 Why Small Language Models (SLMs) may outperform large ones for restaurant ops - and Zach's bold prediction that in two to three years, agile 10-20 unit operators could actually have a technological edge over the big chains 👉 The one restaurant tech trend Zach thinks the industry is sleeping on and why the ROI math and the all-or-nothing mindset of large chains is holding it back ➕ PLUS: Rapid fire! Zach's go-to McDonald's order and his prediction on whether a human will still be taking orders at the front counter in 2035. ➕➕ PLUS PLUS: Shoutout to Zeke, Zach's 15-year-old deaf dog who made a surprise cameo mid-interview by jumping onto the couch behind him. 🐶 Legend. Thank you, Zach! One of the most substantive conversations we've had on the show. If you care about where AI is headed in QSR - not the hype, but the reality - this one's a must-watch. 🚀

    32 min
  3. MAR 13

    Kenneth Hallwachs, Head of Customer @ PreciTaste

    🍳 AI IN THE KITCHEN — FOR REAL THIS TIME 🤖 Today on 🍔Restaurant 🤖Tech 📈Trends I sit down with Kenneth Hallwachs, Head of Customer at PreciTaste — one of the most exciting back-of-house AI companies in the game right now. Kenneth grew up in restaurants (his dad still owns them in Germany!), went deep on ops at brands ranging from large corporations to 60-unit chains, then took a leap of faith into tech. And wow — did it pay off. 📺WATCH AND LEARN📺 👉 Why spreadsheet-based prep is a ticking time bomb — and why most operators aren't actually using them anyway (they're winging it 😬). Kenneth breaks down exactly what's broken and why predictive AI fixes it at its root 👉 How PreciTaste's demand forecasting works: 15-minute interval predictions powered by computer vision, historic sales, weather, seasonality, and LTO/event data — and why building this model in-house (not third-party) is a key differentiator 👉 Real outcomes from real brands: a Dallas operator dramatically cut prep labor time, and a Houston/Austin franchise group is saving a half to a full percent on COGS — enough to fund building a new restaurant without outside investment 🤑 👉 Where PreciTaste is headed next: a one-stop back-of-house platform, deeper labor integrations, and a generative AI layer that doesn't just show operators data — it tells them exactly what to do and how to fix it ➕ PLUS: Rapid fire! Kenneth's hot take on the biggest misconception about AI in restaurants (hint: 😬), the one kitchen task he'd automate first, and what kitchens will look like in 5 years Thank you Kenneth for the candid, ops-first perspective on what it actually takes to bring AI out of the deck and into the kitchen. This one's a must-watch for any multi-unit operator still running prep on paper. 🚀

    22 min
  4. FEB 6

    Amar Narain, CIO & VP Information Technology @ Pizza Pizza

    🍕☁️ FROM DUMB TERMINALS TO CLOUD-NATIVE AI 🤖 Most restaurant tech leaders talk about digital transformation. Very few have actually lived every era of it. On today’s 🍔Restaurant 🤖Tech 📈Trends, I sat down with Amar Narain, CIO & VP Information Technology at Pizza Pizza Limited. He's spent 20 years inside the same brand modernizing it step by step. We’re talking: • Unix + dumb terminals • multiple full-stack rewrites • cloud-native rebuilds • fully custom POS / digital / call center • and now AI agents All while supporting 800+ restaurants and 20M+ orders a year. Amar's experience is real-world, “don’t break the business” execution. 📺WATCH AND LEARN📺 👉 Why Pizza Pizza builds and doesn't buy its POS, apps, and call center stack and how owning the codebase lets them move faster and avoid vendor lock-in 👉 How driver tracking + SMS alerts improved delivery ETAs, reduced wait time at the door, and increased driver throughput 👉 Amar’s practical take on conversational AI for call centers: it must be as good as a human AND cheaper per interaction 👉 How they’re layering AI personalization into web + mobile so frequent guests see what they’re most likely to order first 👉 His no-BS modernization framework for legacy brands: reduce friction --> align to business goals --> automate ➕ PLUS: Amar’s thoughts on analytics, cloud transitions, and the operational realities most vendors never see from the store level. If you’re a CIO, CTO, or operator sitting on legacy tech wondering where to start, this episode is a masterclass. Thanks Amar for sharing the playbook. 🍕📞☁️ #RestaurantTech #CIO #Cloud #AI #POS #Delivery #HospitalityTech

    25 min

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On Restaurant Tech Trends, we interview movers and shakers in the restaurant industry to identify how technology is changing the way multi-unit restaurants work.

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