Shopify Mega-Catalog Optimization
Budget: $750 – $1,500 USD
I run a Shopify store that already holds 1.5 million SKUs. The data is uploaded and the storefront was originally put together with the Lovable theme, yet the site is still a maze and nothing is actually sale-ready.
Here is what I need:
• Information architecture – logical collections, tags, filters and menus so visitors can move through such a large catalog without dead ends or duplication.
• Robust, lightning-fast advanced search that can index all 1.5 M items and surface results by relevance, variant, price, stock status, etc. (Algolia, Searchanise, Elasticsearch or a comparable SaaS are fine as long as the experience is instant).
• Dynamic product-to-product recommendations ( “You may also like”, cross-sell and up-sell blocks fed by either Shopify’s API or a proven third-party app) that actually convert.
• A streamlined, custom checkout process that removes friction, keeps the Lovable visual style intact, and preserves all core Shopify security/compliance features.
• Speed, SEO and mobile optimisation across the board without altering the main design language—this is about organising and fine-tuning, not redesigning.
Acceptance is simple: products can be found in three clicks or fewer, search returns accurate results in under one second, recommendations populate automatically, and checkout completion time is measurably faster than the current baseline. All changes must remain theme-update safe and documented so my in-house team can maintain them.
If you have proven experience wrangling very large Shopify inventories and implementing custom search, recommendation engines and checkout tweaks, I’d love to see examples and discuss timelines.
Here is what I need:
• Information architecture – logical collections, tags, filters and menus so visitors can move through such a large catalog without dead ends or duplication.
• Robust, lightning-fast advanced search that can index all 1.5 M items and surface results by relevance, variant, price, stock status, etc. (Algolia, Searchanise, Elasticsearch or a comparable SaaS are fine as long as the experience is instant).
• Dynamic product-to-product recommendations ( “You may also like”, cross-sell and up-sell blocks fed by either Shopify’s API or a proven third-party app) that actually convert.
• A streamlined, custom checkout process that removes friction, keeps the Lovable visual style intact, and preserves all core Shopify security/compliance features.
• Speed, SEO and mobile optimisation across the board without altering the main design language—this is about organising and fine-tuning, not redesigning.
Acceptance is simple: products can be found in three clicks or fewer, search returns accurate results in under one second, recommendations populate automatically, and checkout completion time is measurably faster than the current baseline. All changes must remain theme-update safe and documented so my in-house team can maintain them.
If you have proven experience wrangling very large Shopify inventories and implementing custom search, recommendation engines and checkout tweaks, I’d love to see examples and discuss timelines.