Generating Current Order Fulfillment Plans Based on Expected Future Order – GrokDotCom

Posted by Marshall Sponder on November 25, 2007 | Link It

Hmm… Generating Current Order Fulfillment Plans Based on Expected Future Order from GrokDotCom – actually, from TechDirt talks about how Amazon will eventually find a way to differentiate customers who order more often and handle them differently than those who order less frequently.

"..Essentially, if Amazon deems that you won't be a long time customer or ordering again soon, your order will take longer to be expedited."

This comes after Amazon snuck One Click past the patent system by changing the word 'a' to 'the' and adding the phrase 'purchasable through a shopping cart model,' lawyers for Amazon.com have apparently managed to reinstate two of CEO Jeff Bezos' 1-Click Patent claims that were rejected a month earlier. Jeff Bezos is certainly making his mark on commerce.

Amazonian Customer Disservice

If you don't get your order on time, just chalk it up to Amazon thinking you aren't worth it as a customer. Do you think they are doing this to prevent other companies from providing lousy service?"

I think this is carrying technical capabilities too far – even it it does work and save Amazon money - or make it more money – it's helpful to people to discriminate based on past performance when your selling them something …why?

Because people may have different reasons for behaving the way they do – or for buying when they do buy – much of this might be externally driven – but the perception will be that Amazon will penalize some and reward others based on how they're buying on Amazon.

Just because someone can do something – doesn't always mean they should – at least, that's my point of view.



Post comment as twitter logo facebook logo
Sort: Newest | Oldest




UPCOMING SPEAKING

Marshall Sponder Keynotes this conference on March 13th, and conducts as Social Media Workshop on March 14th, 2012

The inaugural Social Media Analytics Summit is the first ever two-day business conference with a complete focus on social media analytics. Social media analytics enhances customer service, improves brand and reputation management, and measures overall social media success for businesses