Restaurant Intelligence

Smart, real-time food service management — from order to expo.
Industries: Restaurant | Hospitality
Our Senior CTO working in the test kitchen, developing a complete restaurant management system | AI generated Illustration

The Challenge

Fast-casual restaurants face split workflows: ordering, kitchen timing, vendor tracking, staff alerts, and system-wide visibility. Most POS systems handle orders but fail to coordinate real-time station logic, expo flows, and cook-time accuracy. The client needed a system built for efficiency from the kitchen up — not from the cashier down.

Our Solution

Leading a team of 7, our senior CTO engineered the system design, features, visual workflow, data storage, tech platform and deployment of a full-stack, nodejs-driven restaurant management platform built for real-time coordination. The system included:

  • Web-based tabletop ordering interface on Samsung tablets with power monitoring
  • Guest-to-kitchen stations and expo routing
  • Cook-time-aware dispatching algorithm driven by structured menu data
  • Expo station with Kanban-style interface to manage prep, cook, ready, and refire stages
  • Staff alert system from the table
  • Remote admin tools for updating cook times, pricing, vendor performance, variance tracking, cash flow and electrical costs
  • Realtime adjustment of cook-time sync across stations
  • Variance reports and performance analytics down to vendor reliability

The Results

  • Deployed fully to a live, high-volume fast-casual concept restaurant
  • Orders flowed station-to-station with optimal timing, improving speed and plate accuracy
  • Expo staff reported reduced stress and improved visual management of cooking queues
  • Restaurant team had centralized insight into costs, prep variances, and vendor trends
  • Guests enjoyed full ordering autonomy with fallback waitstaff alerting for support

Key Metrics

20%

Inventory Savings

Best In Class

Operations Analytics

40%

Labor Costs Reduction

This didn’t feel like tech layered onto a restaurant — it felt like it was built by someone who’d worked the line. Every screen solved a real problem. Cook times automatically adjusted, or could be altered on the fly by any station manager to adjust for incidental reasons. A well thought out system.

Anon, Head Chef, Test Kitchen

Project Gallery

Training staff on the POS station of the Restaurant Management system of Fuduzu | AI generated Illustration
AI representation of our CTO providing training of restaurant staff on the Fuduzu system | AI generated Illustration
Our senior CTO training staff on the monumental, custom and robust restaurant management system at a local scratch kitchen | AI generated Illustration
Our senior CTO training staff on the powerful and reliable whole-restaurant management system | AI generated Illustration

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The imagery and content presented in this case study are the property of their respective owners. All logos, brands, and trademarks remain the property of the companies mentioned. The work detailed herein was performed by employees or contractors of those companies at the time. Pacific Northwest CTO is not the creator of these specific projects unless otherwise stated.