Restaurant Operations Solutions

Most restaurants are losing money, and they don’t even realize it. Platforms like Uber Eats, Deliveroo, and Just Eat bring visibility, yes. But they also take: - High commission per order - Monthly subscription costs - Control over customer data So, while orders increase, profit margins shrink. I've been studying how these systems work. Restaurants don’t own their customers anymore, they're renting access. So, instead of just writing code, I build custom food ordering systems for individual restaurants. A dedicated system that belongs to YOU. Here's what that looks like: - Your own branded web/mobile ordering app - Direct customer orders (no middleman fees) - Integrated delivery & pickup system - Discount & loyalty features - Table reservations / dine-in management - Full control of your customer data What this brings to your restaurant: - More profit per order - Direct relationship with your customers - No dependency on third-party platforms I approach this differently, not just as a developer but as someone solving a business problem. - Understanding the business operations. - Identifying revenue leaks. - Building systems that fix them. Because at the end of the day, businesses need a system that makes them more money and gives them control. If you run a restaurant or know someone who does, let’s have a quick conversation. I’d show you how this can work for your business. #Innovation #BusinessGrowth #Technology #Restaurant #StartUp

Last week a Dubai restaurant owner told me: "𝙈𝙮 𝙠𝙞𝙩𝙘𝙝𝙚𝙣 𝙩𝙚𝙖𝙢 𝙞𝙨 𝙛𝙞𝙜𝙝𝙩𝙞𝙣𝙜 𝙩𝙝𝙚 𝙣𝙚𝙬 𝙨𝙮𝙨𝙩𝙚𝙢. 𝙏𝙝𝙚𝙮 𝙬𝙖𝙣𝙩 𝙩𝙤 𝙜𝙤 𝙗𝙖𝙘𝙠 𝙩𝙤 𝙩𝙝𝙚 𝙤𝙡𝙙 𝙬𝙖𝙮".. This happens a lot. Great restaurants struggle when adding new systems. Top talent struggles. Guest reviews drop. Revenue takes a hit. Everyone blames the technology. But that’s not the real problem. Here’s what I’ve learned building modern restaurants: ✅ New systems work when: • Teams understand the ‘why’ • Training focuses on real benefits • Technology makes jobs easier • Results are clear and quick ❌ They fail when: • Teams feel replaced • Systems create extra work • Old problems get worse • Nobody sees the benefit 💥 The fix is simple: Start with the team. Show them how it helps. Make it easy to learn. Celebrate quick wins. 👥 Recent example from a client:  A kitchen team of a renowned chain in the UAE was frustrated over their new system. Things were overwhelming.  Two weeks later, they wouldn’t work without it. The difference? We showed them how it made their jobs better: • Less paperwork • More time back • Fewer mistakes • Smoother service • Happier guests Now they’re teaching other branches how to use it. 💭 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝘄𝗶𝘁𝗵 𝗻𝗲𝘄 𝘀𝘆𝘀𝘁𝗲𝗺𝘀? Drop it in the comments - I’ll share a specific solution that worked for similar operations. Let’s build better. 📸 𝘈 𝘱𝘳𝘰𝘶𝘥 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 𝘵𝘦𝘢𝘮 𝘭𝘦𝘢𝘥𝘪𝘯𝘨 𝘤𝘩𝘢𝘯𝘨𝘦 𝘢𝘯𝘥 𝘦𝘮𝘣𝘳𝘢𝘤𝘪𝘯𝘨 𝘥𝘪𝘨𝘪𝘵𝘢𝘭 𝘵𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯. 𝘙𝘦𝘢𝘭 𝘱𝘳𝘰𝘨𝘳𝘦𝘴𝘴 𝘪𝘴 𝘢𝘭𝘸𝘢𝘺𝘴 𝘢𝘣𝘰𝘶𝘵 𝘱𝘦𝘰𝘱𝘭𝘦 𝘧𝘪𝘳𝘴𝘵. Turntable Hospitality #RestaurantOperations #Hospitality #FoodAndBeverage #Leadership #Restaurant #EmployeeEngagement #TeamBuilding #HospitalityLeadership

Most restaurant tech is not a tool. It is decoration. A recent survey of 170 restaurant chains found that only 9 percent said their AI and tech investment has had a meaningful impact. Another 43 percent reported limited value so far. And 37 percent said fragmented systems are actively preventing them from getting anything useful out of what they bought. That is not a technology problem. That is an implementation problem dressed up as a technology problem. Here is what actually happens on the ground. A group buys software. The demo looked clean. The slides impressed the board. The vendor promised transformation. Then the team goes back to running the business on WhatsApp groups and Excel sheets. The system sits open on a screen nobody reads. Reports get pulled once a month when someone asks a question. The data exists. The decisions do not change. Tech embedded in daily operations looks different. A manager opens the morning with five numbers. Food cost variance versus theoretical. Labor deployed versus demand. Top and bottom performing outlets. Waste flags from the night before. One action item that must move today. That is not a dashboard. That is control. The operators who get real value from technology share one pattern. They do not buy tools. They rebuild daily habits around the information the tool produces. The software becomes invisible because the decision process becomes the habit. I have improved gross margins by 12 percent in a multi-brand portfolio by embedding AI-integrated procurement and kitchen systems into daily operations. Not by installing them. By training managers to use the output before service, not after month end. Pretty charts impress the boardroom. Clear daily action is what protects the margin. When a tech rollout fails in your operation, what is usually the real reason?

How Samosa Party is Using AI to Scale 100+ Locations Had an insightful conversation with our portfolio founders Diksha Pande and Amit Nanwani from Samosa Party about their AI-first approach to restaurant operations. Here's how they're solving real problems across their 100+ locations: Customer Experience Revolution The Challenge: How do you track order-taking quality, stock-outs, and customer insights across dine-in locations? Their Solution: Storefox.ai uses ambient audio analysis at point-of-sale to automatically capture: Real-time stock-out alerts Customer product suggestions and feedback CX compliance (greetings, upselling, order accuracy) New product ideas directly from customer conversations Think about it: Every customer interaction becomes actionable data without any manual effort. Supply Chain Intelligence The Challenge: Forecasting and replenishment for 100 stores from multiple commissaries and warehouses. Their Solution: Crest AI platform generates automated indents considering: New store openings Seasonal patterns and holidays Product launches and promotional offers Historical demand patterns The game-changer? Full ERP integration means zero manual intervention for day-to-day operations. Operational Acceleration Beyond the core systems, AI is transforming their: Innovation cycles: Product development decisions that took weeks now happen in days Store design: AI-powered visualization for optimal layouts and workflows Marketing: Faster collateral creation and campaign development Training: Team members using AI for structured communication and training materials The Bigger Picture What impressed me most isn't just the tools—it's the systematic integration approach. Instead of isolated AI experiments, Samosa Party is weaving intelligence into every operational layer. Key Takeaways for Restaurant Tech: StoreFox-style ambient data capture can provide insights without disrupting workflows Crest-integrated ERP AI eliminates manual decision-making bottlenecks Democratizing AI tools across teams accelerates innovation at every level The restaurant industry often lags in tech adoption, but companies like Samosa Party are proving that strategic AI implementation can be a serious competitive advantage. What opportunities do you see for AI in traditional industries? Would love to hear your thoughts! #RestaurantTech #ArtificialIntelligence #SupplyChain #CustomerExperience #FoodTech #Innovation #Scaling #RetailTech Kalaari Capital

The POS Integration Nightmare No One Talks About I walked into a franchise owner's back office last year. The guy had 60+ locations across three countries, and on his desktop I counted separate database connections for nearly every single one. Each location was running its own isolated POS instance. No cross-visibility between stores. No consolidated reporting. The regional managers were doing everything manually — exporting, reconciling, re-entering. Here's what their typical week looked like: Monday morning started with manually exporting sales data from each location into spreadsheets. By Tuesday, someone was updating promotional pricing across dozens of separate Toast terminals — one by one. Wednesday usually brought a loyalty program glitch that affected a random subset of stores, and no one could figure out which ones until customers complained. Thursday meant six hours generating reports that should have taken six minutes. And by Friday, they'd discover inventory discrepancies from three weeks ago that no one had caught because the data lived in silos. This wasn't a small operation problem. This is what happens when a successful concept scales faster than its infrastructure can handle. After we built them a proper integration layer, the difference was immediate. They got a real-time dashboard showing performance across all locations. Promotions now deploy instantly, system-wide. The loyalty program is unified — customers can earn and redeem points at any store. Daily reports are automated and delivered before the first shift starts. According to industry data, restaurants with integrated POS systems report around 30% reduction in administrative task time. That's roughly 12 hours per week freed up from redundant data entry and manual reconciliation. But the number that mattered most to this owner? He got his weekends back.

The most expensive conversation in ServiceNow implementations happens before the contract is signed. "We have ITSM. Can't it handle customer service too?" Picture this: Saturday lunch rush & fryer goes down at a restaurant location so mobile orders queue up. Or when a POS system freezes & corporate gets flooded with calls from 47 locations. The solution? "Log it as an incident." & Now things fall apart. ITSM was built to restore systems & fix outages - it keeps internal teams running. It knows nothing about QSR reality: franchisee vs. corporate operations, guest orders across channels, equipment maintenance contracts, or what happens when a promotion crashes the mobile app. When you force ITSM to handle customer service, here's what breaks: ↳ A franchisee's broken ice cream machine isn't prioritized ↳ Warranty visibility is lost along with key vendor and support info ↳ Mobile app issues get logged as "incidents" w/o context about order volume & guest impact ↳ Store managers call corporate because there's no self-service portal for restaurant operations ↳ Agents become human routers who can't solve problems When resolution times stretch to 48+ hours, people stop using the system, guest satisfaction tanks, and equipment is down way too longe. The real problem isn't the tool. It's the vision. When QSR brands see ServiceNow as the "IT system" instead of the platform that connects franchisees, corporate-owned locations, contact centers, field service, supply chain, equipment vendors, & guests. They design from what IT already owns, not from how restaurants actually operate. QSRs with ITSM stretched into customer service doesn't work. They need Retail Service Management on a single platform. The difference? ↳ Resolution times drop from days to hours ↳ Franchisees get self-service portals that actually work for restaurant operations ↳ Equipment issues route to the right vendor automatically based on contracts & location ↳ Store managers see case status in real-time without calling corporate ↳ Guests experience faster problem resolution across every location The platform was built for this - customer service workflows designed for retail operations, not stretched ITSM. Restaurant operations aren't an IT problem, and ITSM was never built to run QSR brands or serve guests. 📌 What should happen during scoping: ↳ Map ALL the business problems first - not just what IT sees ↳ Identify the real end users - franchisees, general managers, contact center agents, field service techs ↳ Understand the full ecosystem before picking products ↳ Challenge every assumption about what you think the platform can do ↳ Design from business needs, not from what's already implemented The most expensive conversation happens before you sign. Make sure you're asking the right questions. Follow me, Nicole Hoyle with AJUVO, for enterprise success with ServiceNow #AJUVODeliversNOW #NicoleOnNow #ServiceNow #QSR #CSM #RSM #RestaurantOperations

In the last 6 years, Yum! Brands saw their digital sales jump from 19% in 2019 to over 50% today. And we are way post-COVID, so it is a very good benchmark for where a successful restaurant business could be. Below are some things I've learned about Yum's way of approaching AI and digital by following the company's CDTO Joe Park. Inventory Management & Sales Forecasting One of the most successful AI implementations at Yum! Brands has been in inventory management. KFC locations achieved a remarkable 90% reduction in stock-outs after implementing AI-powered forecasting. Previously, store managers spent up to four hours monthly making calls between stores to manage inventory shortages. The AI system not only eliminated this inefficiency but also reduced food waste and improved customer satisfaction. Kitchen Management Systems Pizza Hut's implementation of AI for order orchestration shows how technology can solve real operational challenges. During peak hours, like Friday dinner rush, the system acts as an "air traffic controller," determining optimal cooking sequences and delivery timing. This ensures customers receive fresher, hotter food while reducing stress on kitchen staff. Computer Vision Applications Yum is piloting computer vision for several purposes in QSR operations: - Monitoring food safety compliance - Verifying order accuracy before serving - Managing drive-thru efficiency by counting cars and suggesting faster-to-prepare items during peak times Integration Challenges & Solutions The average QSR restaurant juggles about 15 different technology vendors - a nightmare for managers. Yum! Brands' solution, Byte by Yum, demonstrates how an integrated platform can reduce this complexity. The platform consolidates point-of-sale, mobile apps, kitchen management, and team productivity tools under one AI-powered system. Byte POS is rolling out at KFC U.S.; the UI is redesigned to feel iPad-simple, and training time is now a fraction of the old green-screen system Training AI systems presents unique challenges in the restaurant industry. Common menu items like "Baja Blast" or "chalupa" don't exist in standard English dictionaries, requiring custom training for voice recognition systems (hence the recent NVIDIA partnership). On NVIDIA podcast, Joe mentioned the partnership helped them reach viable voice-AI products in under four months Focus on Problems, Not Technology Joe Park emphasizes the importance of "falling in love with the problem." Whether it's order accuracy, drive-thru speed, or inventory management, successful AI implementation starts with clearly defined business challenges. According to Joe, and based on the problems he sees, emerging opportunities in tech for restaurants include: - Enhanced voice AI for order taking - Advanced computer vision for quality control - AI-powered restaurant management systems that provide proactive recommendations for inventory, staffing, and local marketing

TableTurn Install Videos: Week One 🚀 Since going live last Tuesday, I’ve been on-site at the restaurant every day, working a shift alongside the team. Initially, we paired each of the four TableTurn stations with their existing POS as a fallback. However, by day two, they had already removed two of their old systems from service. "Pot committed," I told them! Because we’re in beta, my rationale was that keeping their legacy POS in place served as a worst-case scenario backup—but it turns out they didn’t need it for long. The servers and staff are adapting quickly, thanks to our approach. While the UI/UX is modernized, we’ve carefully mapped many features to their existing workflows. Their old POS had a lot of nuances, and we’ve been able to emulate key settings to maintain familiarity where it matters most. With fine dining, it’s not always about teaching an old dog new tricks—it’s about seamlessly integrating with engrained operational methods. Here’s a look at how the team is adjusting to TableTurn: ▶️ **Bartender Workflow** – Quick order entry, seat assignments, food orders, etc.  🔗 https://lnkd.in/eEQXTMp8 ▶️ **Servers Entering Orders** – Navigating the system for smooth order input.  🔗 https://lnkd.in/e_HeyYE3 ▶️ **Fire an Order & Log Out** – The streamlined process in action.  🔗 https://lnkd.in/esfU75iG ▶️ **Tip Adjustments** – Handling post-payment adjustments with ease.  🔗 https://lnkd.in/eVdGy5CM Looking forward to more insights as we continue refining the system. Would love to hear feedback from anyone who’s worked through a POS transition in a restaurant! www.residuals.com #ceo #pos #tableturn #electronicpayments

💡 How a 3-location restaurant group saved $127K using AI — but not how you think They didn't buy a fancy AI platform. They didn't hire data scientists. They did something simpler: They connected their existing systems properly. The Setup: • Restaurant365 for accounting • Toast POS for transactions   • Teamwork for scheduling • Excel for inventory The Problem: Each system had different numbers for food sales. Managers spent 10 hours/week reconciling. The Solution: We built data bridges between systems. Set up automated workflows. Created single-source reporting. THEN we added AI. The Results: ✅ AI identified $3,200/week in over-portioning ✅ Predicted slow nights with 94% accuracy ✅ Caught vendor pricing creep instantly ✅ Reduced admin time by 75% The AI didn't create the savings. The clean data did. The AI just made it impossible to ignore. Your tech stack is probably fine. Your data strategy probably isn't. Fix the plumbing before you install the smart home. #RestaurantSuccess #DataDriven #AIImplementation #TechROI

🚀 IHOP Franchisee Hotcakes Inc. found themselves stuck juggling QuickBooks and Excel across 29 locations, making reporting an exhausting headache. Creating P&Ls took 7-8 hours every week, dragging valuable time away from strategy and growth. Enter Restaurant365 — Here’s what changed: ✅ Saved controllers 8 hours a week on accounting & reporting 💰 Unlocked $50,000 in savings on accounting tasks 📈 Empowered managers with accurate forecasting and financial insights 🕹️ Transformed transaction importing into a seamless process Evan Rosenberg, Hotcakes’ Managing Partner, said it best: "The accounting side of Restaurant365 is a wow product for us. I’ve praised it to many, and people know I shoot straight." It’s not just about efficiency – it's about confidence. IHOP managers now have tools to make smarter decisions, improving operations across the board. When manual tasks no longer steal the day, leaders can focus on what really matters – scaling the business, empowering their teams, and building a legacy that lasts generations. #RestaurantManagement #OperationalExcellence #AccountingInnovation #IHOP #Efficiency