Revide

The UK's first booking platform for bridal stores.

Location: UK
Platform: Web · B2B2C
Sector: B2B2C

What we did Marketplace Development · B2B & B2C Engineering · Data Analytics · AI Chatbot

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Built with

The stack behind Revide

Node.js
jQuery
Tailwind CSS
Bootstrap
PostgreSQL
Next.js

Results

What the client had at the end of the engagement.

Increased appointment bookings and revenue for boutique owners, with operational training and market reporting alongside.

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Before

Background

Despite being a £394.4 million industry, the UK bridal market suffered from a fragmented, highly traditional shopping experience. Boutique owners lacked centralized technology to capture spend and analyze trends, while brides struggled to discover boutiques and book consultations.

After

What we did

We built a B2B2C booking engine for the bridal market. Revide is a booking platform and boutique collective that modernizes discovery, scheduling, and store operations, with a custom AI assistant and reporting for boutique owners.

Inside the product

The parts that took the work, and what each one does.

Specialized B2B2C Booking Engine: A marketplace connecting brides directly to boutique availability calendars.
'Ask Aurelia' AI Chatbot: An integrated artificial intelligence assistant trained specifically on the latest bridal trends to guide users and enhance the discovery journey.
Analytics Dashboard: A data-driven backend providing store owners with deep, actionable insights into customer behavior, appointment conversions, and market trends.
Built-in Training Ecosystem: A scalable, high-quality educational platform tailored specifically for boutique owners to optimize and grow their businesses.

How we verified it

The checks that ran before this went in front of users.

Test framework: Automated UI testing to ensure the complex booking flow and multi-step AI chatbot interactions remained frictionless across all devices.
Load and stress: Load testing the scheduling API to prevent double-booking anomalies during peak weekend appointment surges.
Security: GDPR-compliant data architecture ensuring sensitive customer information (wedding dates, budgets) is heavily encrypted and securely partitioned between competing boutiques.

How it is put together

Layer by layer, and why each choice was made.

Front end: A highly immersive, visually elegant interface engineered with Next.js, Bootstrap, and Tailwind CSS to provide a flawless, image-heavy discovery journey for brides.
Back end: Powered by Node.js and jQuery to manage complex scheduling logic, calendar syncs, and the B2B training platform seamlessly.
Data: A robust SQL database architecture designed to handle rigorous relational data, mapping thousands of brides to specific boutique calendars and inventory trends.
Infrastructure: Edge-network deployment via Vercel (leveraging Next.js) to ensure lightning-fast image loading and instantaneous calendar availability updates across the UK.