The previous post on this blog was called Inbound and Outbound Product Data Syndication.
As touched in this post there are two kinds of Product Data Syndication (PDS):
- The public kind where everyone shares the same product information. The prominent examples are marketplaces and data pools.
- The collaborative kind where you can exchange the same product information with all your accepted trading partners but also supplement with one-to-one product information that allows the merchant to stand out from the crowd.
When you syndicate to marketplaces everyone can easily watch and get inspired. A creepy kind of inspiration is the one surfacing at the moment where Amazon is believed to copy product data in order to make a physical twin as examined in the Wall Street Journal article telling that Amazon Scooped Up Data From Its Own Sellers to Launch Competing Products.
When syndicating – or synchronizing – through data pools you are limited to the consensus on the range of data elements, structure and format enforced by those who control the data pool – which can be you and your competitors.
With a collaborative PDS solution you can get the best of two worlds. You can have the market standard that makes you not falling behind your competitors. However, you can also have unique content coming through that puts you ahead of your competitors.
Right now, I am working with a collaborative PDS solution. This solution welcomes other (collaborative) PDS solutions as part of the product information flow. The solution will also encompass data pools in a reservoir concept. This PDS solution is called Product Data Lake.