The frame for this comparisonProduct data is a practice, not a project.
AD eContent's question is whether a manufacturer-approved record exists in the member PIM for the SKUs its suppliers pushed through the Connector — validated, categorized, ready for hundreds of members to pull; Anglera's question is whether every SKU on YOUR item file, the pool's and the ones it never covered, actually carries the trade size, the WOG rating, and the certification your counter customer filters on, and reads like you rather than like every other member — work that recurs with each supplier reissue, not a one-time load.
01
Ground it
Mine every spec from every source.
Every value traced to a document you can open. The catalog is only as honest as what it was built from.
02
Align it
Aim the catalog at the buyer who actually buys.
Grounded data still loses if it answers questions nobody asked. Alignment is what turns specs into conversion.
03
Keep it alive
Product data is a practice, not a project.
Markets move, suppliers reissue, buyers change what they ask for. A catalog that is right in March is wrong by August unless something is watching.