Re: [vwnc] Algorithms for future purchase predictions for an orderingsystem?

> I suggested the book because it covers in detail internet agents and it
> is a good read. I recommend it.
>
> Sean
>
> -----Original Message-----
> From: vwnc-bounces@... [mailto:vwnc-bounces@...] On
> Behalf Of Rick Flower
> Sent: Tuesday, June 24, 2008 3:38 PM
> To: Stefan Schmiedl
> Cc: vwnc@...
> Subject: Re: [vwnc] Algorithms for future purchase predictions for an
> orderingsystem?
>
> Stefan,
>
> In my case, these products are not anything that expires (not food
> items)
> so your method could work there as well -- in some cases simpler is
> better.. I've got recorded data archived (SQL database dumps) going back
> approx. 3-4 years for an older version of the code I wrote in PHP.. I'll
> have to find a way to move the data into my Glorpified database and then
> run some stats on the data and see what is spat out.. Thanks everyone!
>
> On Tue, June 24, 2008 3:10 pm, Stefan Schmiedl wrote:
>> On Tue, 24 Jun 2008 16:51:19 -0400
>> "Glazier, Sean" <sglazier@...> wrote:
>>
>>> You could write rules for extracting the person likes and interests
> from
>>> what they buy and correlate them to the product categories and
> perform
>>> another analysis to take the top ten picks etc.
>>
>> Or just try some simple statistics (basically "yesterday's weather")
> to
>> provide estimates. The applicability of this approach depends heavily
>> on the lifetime of your store items, though.
>>
>> If the articles are "long-lived" (as you indicated in your OP), you
>> could just collect the ordered amounts per year and extrapolate from
>> that. This approach works very well with one of my clients, where
>> a human is using these indicators for managing the stock and haggling
>> with suppliers.
>>
>>  s.
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>
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