Migrate, Optimize & Structure Shopify Catalogue
Budget: $250 – $750 USD
Project Brief: Shopify Product Migration & Data Structuring (950 SKUs approx 450 already present on Shopify, 500 not yet present )
Refurbished IT Hardware (Laptops, Desktops, AV)
Overview
We are seeking a specialist Shopify freelancer or agency to execute a complete product catalogue migration for a client in the refurbished IT equipment space. The client has approximately 950 SKUs listed on Amazon of which 450 are currently active on their Shopify store. The 'missing' 500 need transferring over but all 950 require work, please see below.
The aim is to fully migrate the remaining catalogue into Shopify, ensuring that every listing including the ones already on Shopify are:
Cleaned and standardized
SEO-optimized
Structurally complete
And ready for future automation and AI-commerce integration (e.g., ChatGPT-based shopping).
This project is a core step in the client’s broader shift from marketplace reliance to direct-to-consumer operations, and lays the groundwork for future multi-channel syncing via Linnworks.
Scope of Work
1. Data Extraction & Cleansing
Extract SKUs and data from Amazon flat file exports
Clean HTML formatting, fix inconsistent characters or symbols, and remove Amazon-specific clutter.
Normalize key product data for consistent formatting (e.g., standardize “16GB RAM” vs “16 GB”).
2. Shopify Product Import
Use tools like Matrixify (Excelify) or LitExtension to manage and validate bulk imports.
Populate the following fields: title, description, price, stock, SKU, tags, collections, images, metafields.
Assign each product to its correct Shopify collection and tag structure for navigation and filtering.
3. Specification Table Structuring
Extract product specifications (RAM, CPU, SSD type, screen size, OS, etc.) into clean, structured formats.
Populate Shopify metafields or specification tables for front-end display.
Where product data is incomplete, apply common-sense logic to fill in obvious details based on model numbers or known specs.
4. Filterable Attributes & Tagging
The Shopify store uses customer-facing filters for:
Brand
RAM Size
Storage Type
Screen Size
Processor Type
Operating System
Etc Etc
These attributes must be consistently filled so products are filterable via both front-end search and collection filtering. Tags and metafields must be properly aligned to support this.
5. SEO-Optimized Description Rewrites
All products require rewritten descriptions suitable for direct-to-consumer selling.
Use tools like Yodel, Jasper AI, or Product Description Magic to generate conversational, SEO-rich descriptions with keywords, condition notes, and use-case benefits.
Descriptions must be clear, customer-friendly, and free from technical clutter.
6. Image Mapping & Optimization
Ensure every product has high-quality images (provided or pulled from Amazon as appropriate).
Apply descriptive alt text to every image for SEO and accessibility.
Identify and resolve any broken or irrelevant images during import.
7. Metadata & SEO Setup
Every product must include:
A concise and keyword-rich meta title (max ~60 characters)
A compelling meta description (max ~155 characters)
Structured for both search engine optimization and potential ChatGPT-based search discovery.
8. Product Variant Grouping
Where applicable, group SKUs as Shopify variants (e.g., same laptop model with 8GB, 16GB, or 32GB RAM).
Ensure consistent parent-child relationships and price differentiation.
Milestone Breakdown
Milestone Deliverable Quantity Purpose
1 Pilot Batch 50 SKUs Initial process validation, formatting & QA
2 Main Batch 1 300 SKUs Full import with specs, tags, SEO metadata
3 Main Batch 2 300 SKUs Continued structured import with corrections
4 Final Batch 300 SKUs Final load & clean-up
5 Description Rewrites All 950 SKUs SEO-optimized descriptions using Yodel, Jasper AI, or Product Description Magic.
Review Checklist (Per Batch)
Product titles are clear and brand/model accurate
Descriptions are rewritten, SEO-optimized, and conversational
Specification tables/metafields are fully populated
Filterable attributes (RAM, screen, OS, etc.) are present and standardized
Images are present, valid, and include descriptive alt text
Products are assigned to appropriate collections and tags
Variant grouping is used where applicable
Prices and stock are accurate
Meta titles and meta descriptions are present and keyword-rich
Platform Integration Context: Veeqo vs. Linnworks
The client currently uses Veeqo for multi-channel sales, but it does not offer sufficient support for the level of product structure, spec detail, and content control required for Shopify.
The long-term plan is to move to Linnworks, which is expected to better handle:
Centralized product specification management
Synchronization across Shopify, Amazon, eBay, and other channels
Dynamic tagging and metafield control for filtering/searching
***Familiarity with how data is structured for Linnworks (or similar platforms) will be seen as a strong advantage.***
Ideal Tools & Capabilities
Matrixify / Excelify for CSV import/export
Yodel, Jasper, or Product Description Magic for AI-generated copy
Deep understanding of Shopify metafields, collections, tags, variants
Familiarity with multi-channel tools (e.g., Linnworks, Veeqo)
Timeline
Expected delivery is over 2–3 weeks, with rolling acceptance per milestone. Early delivery with high-quality QA is welcomed.
How to Apply
Interested agencies or freelancers should include:
A short outline of your proposed process and tools
Examples of previous Shopify import/catalog work
Fixed price quote for the full project the entire 950 SKU project as detailed, with a suggested milestone structure of 20% (1st 50 test run), 15%, 15%, 15%, 35%.
Estimated delivery schedule
Confirmation of availability for immediate start
Refurbished IT Hardware (Laptops, Desktops, AV)
Overview
We are seeking a specialist Shopify freelancer or agency to execute a complete product catalogue migration for a client in the refurbished IT equipment space. The client has approximately 950 SKUs listed on Amazon of which 450 are currently active on their Shopify store. The 'missing' 500 need transferring over but all 950 require work, please see below.
The aim is to fully migrate the remaining catalogue into Shopify, ensuring that every listing including the ones already on Shopify are:
Cleaned and standardized
SEO-optimized
Structurally complete
And ready for future automation and AI-commerce integration (e.g., ChatGPT-based shopping).
This project is a core step in the client’s broader shift from marketplace reliance to direct-to-consumer operations, and lays the groundwork for future multi-channel syncing via Linnworks.
Scope of Work
1. Data Extraction & Cleansing
Extract SKUs and data from Amazon flat file exports
Clean HTML formatting, fix inconsistent characters or symbols, and remove Amazon-specific clutter.
Normalize key product data for consistent formatting (e.g., standardize “16GB RAM” vs “16 GB”).
2. Shopify Product Import
Use tools like Matrixify (Excelify) or LitExtension to manage and validate bulk imports.
Populate the following fields: title, description, price, stock, SKU, tags, collections, images, metafields.
Assign each product to its correct Shopify collection and tag structure for navigation and filtering.
3. Specification Table Structuring
Extract product specifications (RAM, CPU, SSD type, screen size, OS, etc.) into clean, structured formats.
Populate Shopify metafields or specification tables for front-end display.
Where product data is incomplete, apply common-sense logic to fill in obvious details based on model numbers or known specs.
4. Filterable Attributes & Tagging
The Shopify store uses customer-facing filters for:
Brand
RAM Size
Storage Type
Screen Size
Processor Type
Operating System
Etc Etc
These attributes must be consistently filled so products are filterable via both front-end search and collection filtering. Tags and metafields must be properly aligned to support this.
5. SEO-Optimized Description Rewrites
All products require rewritten descriptions suitable for direct-to-consumer selling.
Use tools like Yodel, Jasper AI, or Product Description Magic to generate conversational, SEO-rich descriptions with keywords, condition notes, and use-case benefits.
Descriptions must be clear, customer-friendly, and free from technical clutter.
6. Image Mapping & Optimization
Ensure every product has high-quality images (provided or pulled from Amazon as appropriate).
Apply descriptive alt text to every image for SEO and accessibility.
Identify and resolve any broken or irrelevant images during import.
7. Metadata & SEO Setup
Every product must include:
A concise and keyword-rich meta title (max ~60 characters)
A compelling meta description (max ~155 characters)
Structured for both search engine optimization and potential ChatGPT-based search discovery.
8. Product Variant Grouping
Where applicable, group SKUs as Shopify variants (e.g., same laptop model with 8GB, 16GB, or 32GB RAM).
Ensure consistent parent-child relationships and price differentiation.
Milestone Breakdown
Milestone Deliverable Quantity Purpose
1 Pilot Batch 50 SKUs Initial process validation, formatting & QA
2 Main Batch 1 300 SKUs Full import with specs, tags, SEO metadata
3 Main Batch 2 300 SKUs Continued structured import with corrections
4 Final Batch 300 SKUs Final load & clean-up
5 Description Rewrites All 950 SKUs SEO-optimized descriptions using Yodel, Jasper AI, or Product Description Magic.
Review Checklist (Per Batch)
Product titles are clear and brand/model accurate
Descriptions are rewritten, SEO-optimized, and conversational
Specification tables/metafields are fully populated
Filterable attributes (RAM, screen, OS, etc.) are present and standardized
Images are present, valid, and include descriptive alt text
Products are assigned to appropriate collections and tags
Variant grouping is used where applicable
Prices and stock are accurate
Meta titles and meta descriptions are present and keyword-rich
Platform Integration Context: Veeqo vs. Linnworks
The client currently uses Veeqo for multi-channel sales, but it does not offer sufficient support for the level of product structure, spec detail, and content control required for Shopify.
The long-term plan is to move to Linnworks, which is expected to better handle:
Centralized product specification management
Synchronization across Shopify, Amazon, eBay, and other channels
Dynamic tagging and metafield control for filtering/searching
***Familiarity with how data is structured for Linnworks (or similar platforms) will be seen as a strong advantage.***
Ideal Tools & Capabilities
Matrixify / Excelify for CSV import/export
Yodel, Jasper, or Product Description Magic for AI-generated copy
Deep understanding of Shopify metafields, collections, tags, variants
Familiarity with multi-channel tools (e.g., Linnworks, Veeqo)
Timeline
Expected delivery is over 2–3 weeks, with rolling acceptance per milestone. Early delivery with high-quality QA is welcomed.
How to Apply
Interested agencies or freelancers should include:
A short outline of your proposed process and tools
Examples of previous Shopify import/catalog work
Fixed price quote for the full project the entire 950 SKU project as detailed, with a suggested milestone structure of 20% (1st 50 test run), 15%, 15%, 15%, 35%.
Estimated delivery schedule
Confirmation of availability for immediate start