Capability 01
Order and table management
Case Study
Harbor Table Hospitality
Streamlining Restaurant Orders Inventory and Front of House Speed
Harbor Table Hospitality was losing tickets between the floor and the kitchen while inventory lived in a separate habit. We connected service and stock in one POS rhythm.
- 12 week engagement
- Service first UX
- Inventory linked
- Shift reporting
System overview
A complete restaurant POS workspace for order management, inventory control, customers, analytics, and operational reporting.
Engagement
Engagement snapshot
- Client
- Harbor Table Hospitality
- Industry
- Hospitality, Restaurant Operations
- Duration
- 12 weeks
- Technologies Used
- Next.js, React, Node.js, PostgreSQL, POS workflows
Peak hours exposed every gap: slow modifiers, unclear table status, and stock counts that never matched the night’s sales.
We designed around ticket velocity, fewer taps to fire an order, then wired inventory so popular items could not silently stock out.
Staff and reporting modules followed once the order path felt natural to servers and managers.
Harbor Table now runs front of house and back office decisions from the same nightly picture.
Challenge
The business challenge
Harbor Table Hospitality was losing tickets between the floor and the kitchen while inventory lived in a separate habit. Peak hours exposed every gap: slow modifiers, unclear table status, and stock counts that never matched the night’s sales.
Orders were fast only when veterans remembered workarounds. Newer servers slowed the line hunting taps, and managers discovered missing stock after the rush, too late to fix the shift. Front of house speed and back office control never shared one nightly picture.
Prior POS and stock tools failed because inventory lagged the ticket path. Staff treated stock counts as a chore after close, so low inventory never warned the dinner rush. Reporting required exports that managers did not trust during service.
What was at stake was guest wait times, food cost waste from silent stockouts, and an expensive training burden every time a new server joined. Multi outlet growth would copy the same fragmented habits without a shared playbook.
Harbor Table needed a POS designed around ticket velocity first, then menus, inventory, staff, and reports wired so numbers matched what the floor actually sold.
Approach
How we approached it
We instrumented the real ticket path first, simplified modifiers and table flow, then attached inventory and employee modules so numbers matched what the floor sold.
- Timed order entry with floor staff before locking the interaction model.
- Linked menu items to stock movements to surface low inventory early.
- Gave managers shift reports that reconcile sales and stock without export gymnastics.
- Rolled out station by station so training never stopped service.
Capabilities
What the solution included
Capability 02
Menu and inventory control
Capability 03
Customer and employee modules
Capability 04
Sales and operations reporting
Capability 05
Day to day business settings
Capability 06
Unified restaurant dashboard
Stack
Technology stack
Frontend
- Next.js
- React
- TypeScript
- Tailwind CSS
Backend
- Node.js
- REST APIs
- POS order services
Database
- PostgreSQL
Cloud / Infrastructure
- Vercel
- Cloud hosting
Results
Business outcomes
Outcome 01
Average ticket entry time dropped for complex modifiers
Outcome 02
Low stock warnings appear before the dinner rush, not after
Outcome 03
Managers close shifts with sales and inventory in one report set
Outcome 04
New servers follow the same path veterans already trusted
Outcome 05
Customer and employee records stay attached to operational history
Outcome 06
Multi outlet expansion can reuse the same POS playbook
Insights
What we learned delivering it
- Restaurants punish extra taps, UX testing on live shifts beats lab prototypes.
- Inventory adoption failed historically because it lagged the ticket; we reversed that.
- Reporting only matters if it matches what managers already argue about at close.
Screenshots
Selected product screens
Interface snapshots from the live build. For full module documentation, see the Restaurant POS project page.
System overview
A complete restaurant POS workspace for order management, inventory control, customers, analytics, and operational reporting.
Dashboard
Live sales, order, customer, payment, table, and top selling item metrics give managers an immediate view of restaurant performance.
Order management
Track dine in, takeaway, and delivery orders with customer details, item totals, kitchen handoff, and completion status.
Menu management
Manage menu categories, pricing, availability, item details, and images from one searchable catalog.
Customer management
Maintain customer profiles, loyalty groups, visit history, total spend, contact details, and account status.
Inventory management
Monitor ingredients, stock levels, unit costs, suppliers, low stock alerts, and total inventory value.
Employee management
Manage employee records, roles, departments, employment status, contact details, and salary information.
Reports & analytics
Analyze sales, orders, customers, products, payment methods, and daily performance with export ready reports.
System settings
Configure business information, taxes, payments, receipts, roles, notifications, backups, integrations, and security.
Testimonial
Client feedback
The POS finally feels like how we run a busy floor. Stock stops surprising us mid service, and close out is a review, not a scavenger hunt.
Case study FAQs
Engagement questions, answered
Questions about this engagement: how we scoped, sequenced, and measured outcomes for Harbor Table Hospitality.
HardwareDid you replace hardware?
Software and workflows were the focus for Harbor Table. Existing station setups were adapted where possible to reduce disruption.
TrainingHow did staff training work?
We trained on live stations in off peak windows and kept a parallel path until Harbor Table teams were confident.
MenusCan menu changes happen mid season?
Yes. Managers can update menus and pricing without waiting on a development cycle.
ScopeHow is this case study different from the project page?
Use the project page for module lists and product FAQs. This case study explains the Harbor Table hospitality engagement and results.
RolesWho joined discovery on the floor?
Servers, kitchen leads, and shift managers timed order entry with us before we locked the interaction model and inventory links.
TimelineWhat was the delivery timeline?
Twelve weeks with a service first order path early, then inventory, staff, and reporting modules once ticket velocity was proven.
IntegrationsWere printers or payment terminals integrated?
We adapted existing station setups where possible. Deep hardware swaps were out of scope unless a station could not support the new ticket path.
RolloutHow did rollout avoid stopping service?
We rolled out station by station so training never halted a full floor. Off peak windows carried the heaviest coaching.
FitDoes this fit a single restaurant?
Yes. Harbor Table’s playbook scales down to one outlet; multi outlet reporting is optional until you expand.
OutcomesHow were outcomes measured?
We timed complex modifier entry, tracked low stock warning timing versus rush hours, and reviewed close out report usage with managers.
MigrationWas menu and stock history migrated?
Active menus, modifiers, and on hand stock baselines were loaded before cutover. Historical sheet archives stayed available for reference.
SupportWhat support continued after launch?
Post launch we refined modifiers, inventory thresholds, and shift report layouts based on real service feedback.
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