Shopify CSV product data specialist

This is not a Shopify development project. It is a focused product-data audit and correction job.

I already have the Shopify product export and official supplier CSV feeds. The work is primarily comparing the datasets, correctly mapping the specification fields and safely applying the required corrections.

An experienced Shopify/CSV/SyncX specialist should be able to complete this efficiently. I am not looking for someone to spend days developing a custom solution.

However, accuracy is critical. I have previously had a freelancer incorrectly upload product specifications, so I require a 10-product test and my approval before any bulk changes are made.





I need an experienced Shopify product-data specialist to audit and correct the technical specifications of approximately 500 products on my Shopify lighting store.

I have official supplier CSV product feeds from three suppliers:

• Endon Lighting
• Elstead Lighting
• Impex Lighting

The supplier CSV files contain the correct product information and will be used as the source of truth.

The main objective is to compare the supplier data against my existing Shopify product data and identify any incorrect or missing specifications, then safely correct the Shopify products.

Products should be matched primarily using the Variant SKU.

Specifications to check include dimensions, height, width, projection, diameter, weight, finish, colour, material, bulb holder, bulb type, number of lamps, maximum wattage, voltage, IP rating, class, dimmable, LED information, lumens, colour temperature, energy rating and any other relevant technical specifications contained in the supplier feeds.

SyncX: Stock Sync is the preferred method for carrying out the updates. However, if you believe a direct CSV comparison using AI/ChatGPT/Claude and a corrected Shopify CSV would be safer and more efficient, please explain your proposed method before making any changes.

IMPORTANT: I previously had a freelancer upload incorrect product specifications across my store, so accuracy and controlled testing are extremely important.

NO bulk changes are to be made initially.

The project must start with:

A complete Shopify backup.
A test using approximately 10 products.
A before/after comparison showing the existing Shopify value, supplier value and proposed correction.
My approval of the test before proceeding with the remaining products.

The three suppliers should then be processed separately: Endon, Elstead and Impex.

DO NOT change or overwrite my SEO-optimised product descriptions, meta titles, meta descriptions, collections, handles or images. Only the agreed technical specification fields should be changed.

If a product cannot be confidently matched to the supplier SKU, it must be flagged for manual review rather than guessed.

I expect the successful freelancer to provide:

• Completed specification audit
• Corrected product data
• Excel report showing all discrepancies and corrections
• Documented field mappings
• SyncX configuration, if used
• List of products requiring manual review
• Confirmation that no unauthorised fields were changed

I am looking for someone with genuine Shopify CSV/data-mapping experience, Shopify metafield experience and preferably previous SyncX: Stock Sync experience.

Please tell me:

Have you used SyncX: Stock Sync before? Give me a specific example.
How would you compare 500 Shopify products against three supplier CSV feeds?
How would you ensure that descriptions and SEO fields are not overwritten?
How would you test the first 10 products before doing the full catalogue?
Would you use SyncX, direct CSV/AI comparison, or both? Why?
What is your fixed price and estimated completion time?

I am happy for you to use ChatGPT, Claude or other AI/data tools to make the comparison faster, provided that the supplier CSV is treated as the source of truth and all proposed changes can be demonstrated before being applied.

Accuracy is more important than speed. I will not authorise a full catalogue update until the initial test has been checked and approved.