Restructure Shopify mega medians categories

Project Brief: Shopify Navigation, Mega Menu & Product Data Optimization Website: mylittlethieves.com Platform: Shopify Project Goal Improve the overall shopping experience by restructuring navigation, mega menu, product categorization, and filtering. The objective is to make product discovery easy, intuitive, and fast for parents, while ensuring a scalable and consistent data system for long-term growth. Current Challenges • Inconsistent product categorization due to multiple supplier data formats • Confusing mega menu that does not match parent shopping behavior • Incorrect and irrelevant filters (e.g. size instead of age) • Disorganized, collections, product types, Categories,and metafields • Poor product discoverability leading to drop-offs and lost sales Key Objectives • Category Structure: Build a clear, parent-first category and sub-category hierarchy with accurate product placement • Shop by Age & Occasion: Create automated, data-driven collections for easier product discovery • Tags & Filters: Clean and standardize tags; ensure only relevant filters appear per category • Metafields: Implement structured metafields (age, skill, occasion, etc.) with full product coverage • Collections: Audit and rebuild collections using automated rules for accuracy and scalability • SEO Structure: Align categories and navigation with search behavior to improve visibility • Product Mapping: Ensure all products are correctly categorized, visible, and not duplicated Scope of Work • Category & sub-category restructuring • Product data cleanup and standardization • Metafield setup and completion • Collection rebuild and optimization • Filtering logic correction Expected Outcome A clean, structured, and scalable Shopify store where parents can quickly find products through intuitive navigation, accurate filtering, and consistent product data—ultimately improving user experience and conversion rates.