/MCOMPPI

Product Popularity Index Proj

Primary LanguageR

MCOMPPI

Product Popularity Index Project

get some

  • Data csv is in Data/ folder

  • Predicted Momentum has some errors (gotta tweak my distributions)

  • Assumptions around the distributions:

    INVENTORY AVAILABILITY: "inv.avail"

    A Gaussian distribution is assumed, to begin with the passed in inventory average. It uses 40% of the average as the variation from mean inventory. This approximates the "Stock Control Model". We're not going to model the stock buffer here. Instead, we'll take all 0 and - data points to approximate the lower gaussian ranges.

    ATB VELOCITY TOTAL ITEMS IN MCOM BAGS (POTENTIAL CONVERSIONS, ATB VELOCITY)/time interval

    We're going to use a Bimodal Gaussian distribution to simulate the velocity of items being added to bag in a day. The first period is a gaussian dist. that suggests early day passive buying with a peak, whereas the second period suggests increased buying activity and thus item velocity. Since this distribution simulates velocity over a day, we first break down the data set by intended time interval.

    SELL VELOCITY Same.

Issues still being worked out