Boosting Retail Margins: Price Optimization Strategies with Machine Learning

[@WojciechDynda]

Nice introduction, any more details about tehcnical aspects of that case, instructions, tips on how to implement this kind of solution?

[@brandoncharles5413]

So would profit be an input feature of the bayesian optimiser? As in, you multiply the predicted sales by the gross margin and use that as feature to optimise the price.

[@gamilfarea4276]

Thank you for sharing. What was the name of the optimizer?

[@naveenvenk]

did you get the optimizer name ?
@18:50

[@juiguram7177]

what is the type of optimizer used , the audio is not very clear

[@matiastorres392]

hi ¡ , nice presentation, but i coudnt catch whats is the variable that you predict with the model. Its just the demand for the nexts week?

[@khanhtruong3254]

I think the model predicts the sales (the demand), i.e. how many units will be sold. And the price is in the features (independent variables) when building the model to predict the sales. By doing so, we can arbitrarily change the price from a to b to see how the sales vary in the price range.

[@jimbocho660]

A very nice presentation. Interesting and informative. Thank you.

[@DataScienceSalon]

Thanks for watching!

[@harshaneekhra3553]

nicely explained!

[@sahilkakkar5628]

Very insightful video, thank you

[@babakheydari9689]

great and informative

[@hsoley]

Very nice and informative!