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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