Before processing the feed generation for product data, the following verification process has to be done.
Product information’s.
Product category based field analysis.
Unique identity.
Product information for feed generation:
While preparing the product database for feed generation, available data with product is compared to required data for feed generation based on the product category. Before going to the progression, the available data is too essential. Based on the category, the fields required for data feed generation are always getting changed. So the missing data is found by analyzing the existing data with the product.
Initially, for this process, product categorization is taken in to account. Identifying the right category based on the search engine platform is too intricate because it is different based on the search engine
Smarter.com = 2,957.
Google Product Search = 2,569.
PriceGrabber = 1,483.
Shopzilla = 1,300
SortPrice = 1,233.
Yahoo Shopping = 1,231.
NexTag = 1,072
Become.com = 656.
Pronto.com = 400.
Shop.com = 384
Shopping.com = 284
Like.com = 86
Product information for feed generation:
While preparing the product database for feed generation, available data with product is compared to required data for feed generation based on the product category. Before going to the progression, the available data is too essential. Based on the category, the fields required for data feed generation are always getting changed. So the missing data is found by analyzing the existing data with the product.
Unique identity:
To manage the product uniqueness the product unique identity is maintained in the e-commerce product data feed generation. SKU, MPN, GTINs, UPC, EAN, JAN, ISBN like various identifiers are used here to maintain the product identification uniquely.