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Nextryzer Technologies
Demo project conceptBusiness Platforms

Mie Bakery – Bakery Platform with Online Ordering, Pre-orders, POS & Admin Dashboard

A complete bakery platform for a Canadian artisan bakery, with online ordering for pickup and delivery, seasonal pre-orders, custom cakes, a POS and an admin dashboard, built with Next.js.

ClientDemo organization
IndustryRestaurants
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Mie Bakery – Bakery Platform with Online Ordering, Pre-orders, POS & Admin Dashboard - project visual

Portfolio disclosure: This is fictional demonstration content. No real client, result, endorsement, or commercial metric is represented.

Project overview

A model for the work - not a claim about completed work.

The framing below shows the kind of problem this concept is built to address.

Mie is a demo for an artisan bakery in Vancouver's Mount Pleasant, built as part of our Luma House hospitality platform alongside the Nocturne restaurant and café demos. Customers can browse a daily menu of viennoiserie, breads and cakes with dietary tags, then order online for pickup or delivery by choosing location, date, time and order type. They can also pre-order seasonal collections such as Holiday, Valentine's, Thanksgiving and Christmas bakes, with live countdowns, and request custom cakes for special occasions. The platform supports multiple locations, and staff get a full admin dashboard and POS to manage the menu, orders, pre-orders, inventory, website content and payments from one place. We built it with Next.js, React and PostgreSQL, with secure authentication. It's optimized for speed and SEO and ready to deploy on Vercel, Railway, Render, AWS or any other cloud.

5 challenges

Objectives

The problems the concept is built to solve.

  • Popular bakes sell out early, and customers leave disappointed.01
  • Seasonal and holiday orders were managed by phone and paper.02
  • Custom cake requests needed a clear, structured process.03
  • Stock and ingredients were hard to track across locations.04
  • Counter sales and online orders were handled in separate systems.05
Mapped to scope
5 moves

Solution direction

How the build is shaped to meet them.

  • 01We built online ordering with scheduled pickup and delivery so customers can reserve their bakes in advance.
  • 02We created pre-order campaigns for holiday collections with live countdowns and order deadlines.
  • 03We added a custom cake request flow with occasion details and consultation booking.
  • 04We built an admin dashboard with inventory, low-stock alerts and waste tracking.
  • 05We integrated a POS with online orders, so all sales and payments live in one place.
Direction, not a delivery claim

Product experience

Features and UX designed together.

The demonstration connects functional scope with the role, context, and decision each interface must support.

Online ordering for pickup and delivery with date and time selection.

Seasonal pre-order collections with countdown campaigns, plus custom cake requests.

A digital menu with dietary tags, customization options and prices.

Multi-location support with per-location hours and ordering.

An admin dashboard, POS, inventory tools and a website content studio with SEO.

UX/UI principles

01

Role-specific journeys for restaurants users

02

Clear status, exceptions, and next actions

03

Accessible responsive behavior across operating contexts

Architecture

System boundaries designed around change.

Modular application boundaries around restaurant-management, pos, appointment-booking
API-led integration with authoritative business systems
Observable cloud delivery with controlled access and audit history

Development process

Evidence at every stage.

A representative delivery path for this demonstration concept.

01

Context and workflow discovery

Working output, review criteria, and risk are made visible before the next commitment.

02

Journey and system prototyping

Working output, review criteria, and risk are made visible before the next commitment.

03

Incremental product engineering

Working output, review criteria, and risk are made visible before the next commitment.

04

Risk-led quality validation

Working output, review criteria, and risk are made visible before the next commitment.

05

Controlled deployment and learning

Working output, review criteria, and risk are made visible before the next commitment.

3 steps

Deployment

How it reaches production.

  • Environment and access architecture
  • Automated release and rollback path
  • Monitoring, backup, and operational handover
Release-ready
5 outcomes

Results & outcomes

What the concept is expected to move.

  • 01Delivered a live, fully working bakery demo within our Luma House hospitality platform.
  • 02Reduced sell-out disappointment with scheduled online ordering.
  • 03Turned seasonal events into structured, trackable pre-order campaigns.
  • 04Unified counter and online sales through the integrated POS and admin dashboard.
  • 05Created a fast, SEO-ready platform that deploys on any cloud.
Illustrative, not measured

Project visuals

Concept screens.

Illustrative frames prepared for this concept.

Mie Bakery – Bakery Platform with Online Ordering, Pre-orders, POS & Admin Dashboard screen 1
Mie Bakery – Bakery Platform with Online Ordering, Pre-orders, POS & Admin Dashboard screen 2
Mie Bakery – Bakery Platform with Online Ordering, Pre-orders, POS & Admin Dashboard screen 3
Mie Bakery – Bakery Platform with Online Ordering, Pre-orders, POS & Admin Dashboard screen 4
Mie Bakery – Bakery Platform with Online Ordering, Pre-orders, POS & Admin Dashboard screen 5
Mie Bakery – Bakery Platform with Online Ordering, Pre-orders, POS & Admin Dashboard screen 6

About this demo

Clear about what is - and is not - shown.

Is this restaurants case study based on a real client?
It is presented as demonstration content showing the intended portfolio structure. A real client is only named once they have approved being identified.
Are the outcomes measured results?
No claimed percentages, revenue figures, client names, logos, or testimonials are shown. Verified evidence can replace the placeholder outcome section later.
Could Nextryzer build a similar restaurants system?
The actual scope would follow discovery of workflows, integrations, users, security obligations, operating constraints, and desired business outcomes.

Related case studies

More work worth exploring.

All case studies
Your project, real context

Let’s build the case around your business.

Bring the actual challenge, users, systems, and desired outcome. We’ll help define a credible path forward.

What we’ll map together

  • The core challenge and what success looks like
  • The people and roles the product must serve
  • The systems and data it needs to connect
  • The outcome the business expects to see
Starting point
RestaurantsBusiness Platforms