Rick,
If you do not find a full package for purchase-pattern analysis, I do
still suggest that you consider the excellent histogramming capabilities
provided in the Numerical Methods package in the public repository.
This implements the algorithms from the book "Object-oriented
implementation of numerical methods" by Didier H. Besset, ISBN
1-55860-679-3. The book is worth having on hand too.
This application area can be addressed by producing histograms for
periods of interest in the past, then detecting whether the histograms
have high enough peaks and/or enough area (volume) to warrant increasing
planned orders beyond the routine levels.
Gregory Bourassa
Rick Flower wrote:
> Hi all..
>
> One of the areas I'll be working on this summer for a Seaside based
> web-app has to do with making suggestions for ordering products based on
> past buying habits (taking into account perhaps the past 4-5 years). The
> current people-driven system (no computers helping currently) works on a
> demand schedule -- if people ask for product X then that product is
> ordered -- causing people to wait for delivery. What I want to do is look
> back in time perhaps a month in advance (say for the Christmas period) and
> have the system make suggestions for products to buy that have been
> popular for the past several years. That way when people put in their
> orders, the product is sitting and waiting for them instead of the other
> way around.
>
> To that end, I could certainly generate some sort of algorithm to look at
> purchase history for a selected time period and make suggestions..
> However, I figured it might be best to ask if anyone knows of an algorithm
> that tries to solve this equation from the get-go... Anyway, if no such
> algorithm exists then I'll brute-force it and write my own but thought I'd
> ask first.. Thx!
>
>
>
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