Learn About Our Meetup

5000+ Members



Join our meetup, learn, connect, share, and get to know your Toronto AI community. 



Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.



Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[D] Resources on Assortment Optimization

Hey data scientists of Reddit, would like to seek some advice from the experts here.

I am trying to implement an assortment optimization problem, where you have to pick a subset of good from the master set which maximises the objective (i.e. revenue/profit). Eventually, I would like to work towards a tractable SKU-level sale forecast function (choice model) that accounts for cannibalization, substitution and seasonality. As I understand it, this function would have to be fed into an optimisation algorithm (i.e. linear integer programming).

From my readings, I gather that Multinomial Logit Model (MNL) should be the baseline/ starting point. However, I can’t seem to grasp how I could extend MMNL to account for cannibalization, substitution and seasonality.

Can any kind souls point me to a good place to start on optimization in the field of operations research for assortment optimization?

tldr: Where can I find resources on assortment optimization with cannibalization, substitution and seasonality effects?

submitted by /u/Juzkev
[link] [comments]

Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.