Nordstrom Product Information Management: Entity Detection
As a lead member of the UX team at Nordstrom, I designed a solution to eliminate duplicate products within our inventory systems .
The problem
Our product information management system (PIM) could contain duplicate records when we ingest new item information or when changes are made to item information if we do not have rules and logic to check for and merge existing products, colors, and items.
If the rules and logic are not able to determine if a potential match is a true match, we need a human user to review the potential/fuzzy match to make a decision.
Researching Current Pain Points
• Process requires uploading a file
Files can be large and it can be challenging to get through an entire batch in one sitting
Scanning all of the information and rows to find discrepancies can be challenging and takes some practice
Hard to keep track of which potential matches have been addressed and which are still pending
The Solution:
We planned to surface these potential matches in an easy-to-use user experience so that we can efficiently reduce the number of duplicate product records and uphold the integrity of our product information.
How we arrived at the solution
Defined current process - oiefihglakhgla
Collected requirements to complete jobs as they exist today - ehglkahgadg
Worked through high level flows to ensure we aligned - etc etc etc
Fleshed out designs to match our current Retail Hub platform visuals
