Context-Aware Technology for Restaurant Operations

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

I think a very visible observation at this year's Restaurant Show was logical tech instead of theoretical. There was less "glimpses into the future" and more "proof of concept." Here's one of those in action: For two and a half years, Wingstop has worked on a new Smart Kitchen that forecasts demand in 15-minute increments, telling the store how many wings to drop. The system takes into account more than 300 variables tailored to each unit, like weather, sales trends, and sports. It also features digital touch-screen displays at every work station instead of paper chits and an order-ready screen at the front so consumers can keep up with their order. Another feature: there are now sticker print outs that identify what flavors are in each package. At restaurants where the technology has been installed, wait times have been cut in half to about 10 minutes, and there have been notable improvements in guest satisfaction, accuracy, consistency, and employee turnover. In the delivery channel, Wingstop has been able to show up in under 30 minutes. Why is this important? Shorter wait times allow the brand to become a greater consideration. Instead of serving as a destination—with an average frequency of just three times per quarter and once a month—the quicker service could entice guests to visit more often, especially during on-the-go periods like the afternoon daypart. The Wingstop Smart Kitchen is in 400 restaurants and the chain hopes to complete the rollout by the end of the year. Again, real-time innovation in the back of the house. That seems to be the battleground right now. More here: https://lnkd.in/eMHMUkmZ

At the SevenRooms Customer Advisory Board this week, I heard a story that really stuck with me. At Shy Bird in Boston, brunch had hit a breaking point: 45-minute waits, tickets piling up, a kitchen stretched past capacity. Most people would have just tried to push through. Instead, co-founder Eli Feldman pulled out his phone and turned to AI. Within minutes, it pinpointed the bottleneck: almost everything was backing up at a single grill station. Two weeks later, after making changes, wait times dropped from 31 minutes to just 9. For me, that’s revenue management in action. Not about raising prices--but about removing bottlenecks, reallocating resources, and capturing demand more efficiently. AI isn’t coming “someday”--it’s already reshaping how restaurants forecast, operate, and engage guests. The only question is: where would you want it to remove friction first? #RevenueManagement #RestaurantAI #SevenRooms #RestaurantOperations #HospitalityInnovation

Toast, Uber Eats, and DoorDash are all betting on AI, and restaurant operators should pay attention. AI isn’t coming to restaurants. It’s already here. At the 2025 National Restaurant Association Show, the most talked-about tech all had one thing in common: AI at the core. Here’s what stood out: 1. Toast launched Toast IQ, an AI-powered POS for front-of-house operations. It includes Menu Upsell for real-time upgrade suggestions, Digital Chits that highlight guest preferences, and Shifts at a Glance for quick updates on specials and stock levels. 2. Uber Eats and OpenTable are teaming up to streamline reservations and delivery into a single experience. Guests can browse a menu, book a table, or place an order from one app. For staff, that means fewer no-shows and fewer systems to manage during busy hours. 3. DoorDash rolled out AI vision technology to reduce fraud and improve order accuracy. It monitors prep and packing stations in real time, flags inconsistencies, and helps ensure the right food reaches the right guest. These tools are transforming the guest experience with smarter ordering, better flow, and fewer missed steps on the floor. But as front-of-house becomes more automated, it’s clear that back-of-house still has catching up to do. Hiring, onboarding, scheduling, and team communication are still largely manual. That’s where the next wave of restaurant innovation is heading. Because AI isn’t just about what the guest sees. It’s about helping operators run stronger, more efficient teams, from the front to the back of house.

Patty. That’s what Burger King has named its new AI system! 🤯 - It sits inside employee headsets. It listens. - It tracks whether staff say “welcome,” “please,” and “thank you. - It alerts managers if inventory is low. It even helps recite recipes. This isn’t a chatbot experiment. It’s operational AI deployed across 500 U.S. restaurants. And it tells us something bigger. > Quick-service restaurants run on razor-thin margins. Labor costs, speed of service, and consistency determine profitability. Even a small improvement in order accuracy or customer satisfaction compounds across thousands of outlets. ➡️ But here’s the real shift: AI is moving from the customer interface to the employee layer. Earlier, automation meant self-order kiosks and drive-thru bots. Now it means coaching tools, performance signals, and operational nudges. ➡️ Strategically, this is clear: AI is becoming middle management. And this isn’t happening in isolation. McDonald's ended its IBM drive-thru AI pilot in 2024 and is now working with Google. Yum! Brands is investing in AI with Nvidia across KFC, Taco Bell, and Pizza Hut. This is an arms race in operational intelligence. Will AI will enter frontline work? It already has! ➡️ Will it augment humans, or slowly replace judgment with dashboards? 👉 Is this smarter hospitality or smarter surveillance? #AI #technology #burgerking #hospitality #surveillance #middlemanagement #restaurants #automation