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    Front of House | Back of House

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      Running a Smarter Restaurant with FohBoh.ai – Real-World Restaurant Manager Use Stories

      In the fast-paced, margin-sensitive world of foodservice, restaurant managers juggle dozens of responsibilities every day—often without the time, data, or team to make every decision count. That’s where FohBoh.ai comes in: a purpose-built, AI-native operations platform that delivers real-time, data-driven answers in plain language, without the need for analysts, spreadsheets, or tech teams.

      To show the power of FohBoh in action, here are a series of pro forma user stories that reflect how real managers could use FohBoh's AI Companion Agents to run smarter, leaner, and more profitable restaurants.

      Labor Scheduling & Forecasting

      Tina, General Manager, 4-unit fast casual brand
      Tina logs into FohBoh Monday morning and simply asks, "How many labor hours should I schedule this week?" Her Labor Agent instantly compares historical sales, weather forecasts, upcoming local events, and labor law rules, then returns optimized staffing guidance per shift. Tina saves 6 hours of planning and avoids both overstaffing and last-minute shortages.

      Daily Sales Analysis

      Marcus, Assistant Manager, family dining concept
      Every day at 3pm, Marcus gets a voice summary from FohBoh: "Today you're trending 6.3% above last week. Average check is up $1.72 due to combo sales." No dashboards, no spreadsheets - just a clear read on what matters. With this data, he runs a mini-contest to boost dessert sales before dinner.

      Menu Engineering

      Jessica, Multi-unit GM for a taco chain
      Jessica asks her Menu Agent: "What’s our most profitable item under $10 that’s not selling well?" FohBoh analyzes food cost, prep time, and contribution margin, recommending the avocado shrimp taco. Jessica tests a limited-time promo and sees a 23% lift in sales of the item that weekend.

      Event Planning & Promotions

      Sam, Bar Manager at a high-volume sports bar
      FohBoh tells Sam that Saturday sales typically dip 12% when there’s no major game. He launches a "Beer and Wings" promotion tied to UFC night, and builds a campaign through integrated platforms. On Monday, FohBoh shows a +15% lift vs baseline Saturdays.

      Purchasing & Supplier Optimization

      Laura, Purchasing Manager for 12-unit group
      Laura asks, "Which of our top 10 SKUs had the biggest price spike this month?" FohBoh’s Purchasing Agent flags tomato puree, with a 14% increase from one vendor. It recommends an alternative supplier used by three sister locations. She adjusts the contract and saves $4,300 annually.

      Inventory Control

      Ben, Kitchen Manager at a college dining hall
      Ben walks into the dry storage room and asks FohBoh, "Which items am I overstocking this week?" FohBoh references par levels, usage trends, and delivery dates. It recommends reducing bread flour and replacing one bulk oil brand. Shrink drops 9% over the next three weeks.

      Staff Training & Onboarding

      Alex, Ops Manager for new openings
      Alex deploys FohBoh to help new managers learn faster. The AI answers questions like "How do I calculate ideal labor percent?" or "What does our 86 list look like today?" instantly. It becomes a pocket mentor, saving time and boosting first-90-day performance.

      Kitchen Efficiency

      Rachel, Executive Chef of a fine dining concept
      Rachel asks, "What station is falling behind tonight?" FohBoh surfaces live ticket times by station and flags the grill line. She repositions a prep cook and avoids comping three entrees.

      Real-Time Alerts & Action Triggers

      Carlos, Franchise Owner, multi-location QSR
      Carlos gets a push alert at 11:45am: "Unit #3 is pacing 22% below lunch average. Labor % is at 18.9%. Consider reducing counter staff by 1." He calls the manager and course-corrects in real time.

      Collaboration & Coaching

      Nina, Area Coach for a regional franchise
      Nina reviews FohBoh summaries across 15 stores. Instead of weekly reports, she asks, "Which locations are trending down in guest count and food cost?" She identifies two stores needing attention and schedules one-on-one coaching armed with specific context.

      These stories may be hypothetical today, but they reflect real opportunities inside nearly every restaurant. With FohBoh.ai, data doesn’t just get collected - it gets used. As restaurants prepare for a more tech-enabled future, FohBoh empowers managers at every level to make smarter, faster, and more profitable decisions - every shift, every day.

      Coming in Q2, 2025.
      For more information or to get on the "Early Adopter" list, send a note with information abiout you and your restaurant(s) to hello@fohboh.com.

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