Toni Rossi: Premium Shoe eCommerce Experience
Migrating a premium footwear brand from WooCommerce to a high-performance Shopify engine with multi-category management.
The Problem
Technical Debt
A slow WordPress backend made product management difficult and provided a subpar user experience for a premium brand.
Omnichannel Friction
Managing inventory across physical stores and multiple MBOs required a more robust, user-friendly backend.
Learning Curve
The legacy system had a steep learning curve for the team, slowing down updates and campaign launches.
The Road to Implementation
We migrated Toni Rossi from a slow WooCommerce setup to Shopify Plus, delivering a premium shopping experience for their luxury shoe collections and accessories.
Requirement Gathering
Mapping functional specifications and omnichannel requirements.
Theme Selection & Approval
Choosing a premium foundation that reflects the brand's 'Black Label' quality.
UI Customization & Content
Customizing the theme as per UI design and optimizing imagery for high-end retail.
Functionality & Integration
Setting up payment gateways, variant swatches, and final domain connection.
Custom Architecture Built
Shopify Plus Migration
Seamlessly moved products and data to Shopify, providing an intuitive backend and a modern frontend aesthetic.
Custom UI Design
Developed a premium store layout with custom swatches and variant images tailored to shoe discovery.
Operational SOPs
Provided standard operating procedures for product uploads to ensure consistency and speed for the local team.
The Outcome
Successfully migrated existing products and historical data from WooCommerce
Launched specialized categories including Men's Shoes, Women's Shoes, and Black Label
Implemented custom swatches and variant image support for better UX
Established a scalable backend for multi-user management and easy product updates
Conclusion
Through our collaboration, Toni Rossi has not only automated critical processes but has built a foundation for long-term scalability. The transition from manual, high-friction workflows to a streamlined AI-driven ecosystem represents the future of engineering operations.
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