Project ideas: Difference between revisions

From Project VRM
Jump to navigation Jump to search
m (Reverted edits by KruGer (Talk) to last version by Avery)
 
(2 intermediate revisions by 2 users not shown)
Line 19: Line 19:
== Categories of VRM data ==
== Categories of VRM data ==
What you've done, like, and want
What you've done, like, and want
Done: Transaction history.  Your copy of your transaction/interaction record categorized  
Done: Transaction history.  Your copy of your transaction/interaction record categorized  
Like: Preferences. Where do you like to sit on a plane, car, color, and size
Like: Preferences. Where do you like to sit on a plane, car, color, and size
Want: Personal RFP. What things do you want to buy and how do you describe your need
Want: Personal RFP. What things do you want to buy and how do you describe your need


Perhaps there is a service to intelligently inform one category from another.  For instance, by looking at a transaction history you can deduce preferences and suggest wants. You always want to sit in the aisle seat and buy milk every week.
Perhaps there is a service to intelligently inform one category from another.  For instance, by looking at a transaction history you can deduce preferences and suggest wants. You always want to sit in the aisle seat and buy milk every week.

Latest revision as of 03:36, 1 December 2009

Upside-down buyer's guide

Don Marti writes,

Doc has been contemplating business, identity and vendor lock-in, and makes me think about an interesting experiment -- use links, tags, and a microformat to help people buy a "commodity" IT product, the 1U or 2U rack-mount Linux server.

First step would be to come up with a microformat for a "server RFQ". At the beginning of the experiment, these could be relatively loose -- just a bunch of "ol"s with "id"s such as "required-parts" "preferred-parts", "disliked-parts", "forbidden-parts", "required-features" and so on.

There would also be a section for "status", which would be time until buying decision, "deferred" "cancelled" or "ordered". If and when the idea got more popular, the RFQ could be more detailed, and sites and apps could offer server RFQ construction wizards. The nice thing about using a microformat is that (1) it's human-readable in a browser and (2) you can add free-form commentary on what you like or don't like in a server.

So you want to buy a server? Write your server RFQ, put it up with a rel="tag" link to a Technorati tags page for "server RFQs". and another tag link to a new, unique tags page just for that one, such as "joe@example.com-2005-07-09".

Along come the vendors who want to sell you a box, and are naturally watching the "server RFQs" tag like hawks, I mean like some animal that doesn't want to eat you. Like Easter Bunnies? Vendor sales person checks your RFQ, makes a page for you with links to matching products and a rel=tag link to "joe@example.com-2005-07-09". This is highly automatable, but careful, vendors -- don't spam. A future web-based product configurator should be able to crawl a server RFQ page and come up with a good quotation in response.

Now, you, the buyer, just watch the RSS feed for joe@example.com-2005-07-09 -- hey presto, it turns into your own personalized Server Buyers' Guide! When you buy the server, you change the "status" field on the RFP to "ordered", and add a link to the vendor you bought from. This is to (1) give the good vendors Google Juice and (2) let vendors know you're serious in the future so they'll pay attention to your RFQs.

Read the whole thing.

Categories of VRM data

What you've done, like, and want

Done: Transaction history. Your copy of your transaction/interaction record categorized

Like: Preferences. Where do you like to sit on a plane, car, color, and size

Want: Personal RFP. What things do you want to buy and how do you describe your need

Perhaps there is a service to intelligently inform one category from another. For instance, by looking at a transaction history you can deduce preferences and suggest wants. You always want to sit in the aisle seat and buy milk every week.