Many 1P brands know that data analysis in Vendor Central is painstaking. Vendor Central offers fewer APIs than Seller Central, making it difficult to ingest data at scale.
Even calculating key metrics is tedious. So how do you get around these challenges? In this webinar, Andrew Hamada, co-founder of Reason Automation, helped us map the universe of Vendor Central data.
He discussed the best practices for managing VC data, like:
How to watch out for nuances of VC data. To avoid data errors, vendors have to factor in nuances around time zone and time period, lag times, and data from Rapid Retail Analytics that can be difficult to validate.
Why Amazon so frequently changes historical data: While both vendors and sellers will notice their historical data shifts without warning, these changes are especially stark for vendors. Traffic reports often change as Amazon cleans up bot traffic. So do sales reports.
When you’re a vendor and a customer returns a product, in fact, Amazon actually removes a sale from your sales report. This can make your accounting difficult if you’re not careful.
So how do you simplify the process? Stream the full webinar now to find out.