30 Aug '17, 11am

Surviving the Great Retail Apocalypse with Google Shopping by @cchaitanya

Big data processing: You need a way to be able to compile, process, and actually use all this data. New techniques such as data science (which parses these big data clusters to pull actual), usable insights , and machine learning (which uses data-driven insights to build predictive models), will help you make sure your individual Google Shopping campaigns are always running at the ideal bid levels to move the most high-margin products and bring you the highest returns. Reporting at scale: You need a way to quickly generate performance reports at scale for your entire inventory. (Ideally, something beyond Microsoft Excel, which has a tendency to crash after you add too many rows!) If you run a solution that limits your ability to store and process data, you’re hobbled – you won’t be able to quickly assess market conditions and identify errors that need to be corrected. This...

Full article: https://www.searchenginejournal.com/retail-apocalypse/210...

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