Amazon’s announcement of its first physical store opening on Manhattan’s 34th Street is not a surprise to me, as I predicted it four years ago in the first edition of my co-authored book, The New Rules of Retail, published in 2010.
The logic was the same then as it is now. Amazon has a huge database, estimated to be larger than the Pentagon’s — and they know how to use it. The data provide them with laser-sharp knowledge, such as what Jane Doe — who is married with two kids and a dog and is living on the east side of Manhattan (or anywhere in particular) — is eating for breakfast; what brand of jeans she wears; the charities she gives to; the music she likes; and so forth. Therefore, as Amazon rolls out its stores nationally, it can assort each location precisely with those items that are preferred by specific shoppers. The stores will also have screens for downloading information and selecting from Amazon’s massive inventory.
The personalized knowledge that Amazon continues to build on, and that all retailers are pursuing, is collected over time across all accessible consumer browsing and transactional points, and it’s game changing. It tracks consumer-shopping behavior and can be drilled down to individual profiles. This is the big deal part of the buzz concept, Big Data, because it tells the retailer not only what brands the Jane Does on the East Side prefer, it can also indicate what kind of shopping experience, environment and service they expect. Most traditional retailers have not yet scratched the surface on big data analytics and its laser-like ability to localize, even personalize the shopping experience. It will be interesting to see how Amazon uses its analytical advantage in this area. [Read more...]