Okay, this is going to be a mouthful, but I'm interested to ask this question because I've been learning programming on my own time and I'm wondering if there is a programmatic approach to this problem.
I work at an ecommerce agency, and I have a client who would like to migrate from Volusion to Shopify. Their main concern is migrating their 'product reviews' database from Volusion into Shopify.
There are three .csv files I'm looking at.
One from Shopify, with SHOPIFY PRODUCT ID's matched to Product Names.
One from Volusion, with Volusion Product ID's matched to Product Names.
One from Volusion's Native Reviews, with Product Reviews matched to Volusion Product ID's.
Problem #1: The product ID's from Volusion do not match the Product ID's from Shopify.
Problem #2: There are multiple product reviews for each Volusion Product ID.
The goal is to match Volusion Product Reviews to SHOPIFY PRODUCT ID's, which would have to be done by:
- Matching Volusion Product Reviews to Volusion Product ID's (Done)
- Matching Volusion Product ID's to SHOPIFY PRODUCT ID's, which are different, but can be done through finding matching Product Names
Example of the CSV's:
Shopify Product Export CSV:
Product ID Name
---- ----
2344 Leather Handbag
2345 Phone Case
Volusion Product Export CSV:
Product ID Name
---- ----
36754 Leather Handbag
36755 Phone Case
Volusion Reviews Export CSV:
Product ID Review
---- ----
36754 Great Bag!
36754 Quality Leather!
36754 Amazing!
36755 Great Phone Case!
What would be the quickest way to build a CSV file with three columns: SHOPIFY PRODUCT ID, SHOPIFY PRODUCT NAME, VOLUSION PRODUCT REVIEW, MATCHED TO SHOPIFY PRODUCT ID BY PRODUCT NAME
So that the end result looks like:
Product ID Name Product Review
---- ---- ----
2344 Leather Handbag Great Bag!
Quality Leather!
Amazing!
2345 Phone Case Great Phone Case!
Is this possible?
Thanks everybody! :)