I have a data set that looks like this. Year Quarter Quantity Price 2000 1 23 142 2000 2 23 144 2000 3 23 147 2000 4 23 151 2001 1 22 160 2001 2 22 183 2001 3 22 186 2001 4 22 186 2002 1 21 212 2002 2 19 232 2002 3 19 223 2002 4 19 224 2003 1 19 231 2003 2 19 228 2003 3 19 238 2003 4 19 238 2004 1 19 234 2004 2 19 231 2004 3 20 239 2004 4 19 235 2005 1 19 233 2005 2 19 243 2005 3 20 244 2005 4 19 233 2006 1 19 234 2006 2 19 241 I am trying to figure out a pricing strategy to maximize revenue (optimal price) using Python. I found a few example online, but didn't know how to adapt them to my specific scenario. This one looks good, but I'm not sure how to modify it to fit my data set. https://www.datascience.com/resources/notebooks/python-dynamic-pricing This one looks goo too, but again, I'm not sure how to make it work for me. https://cscherrer.github.io/post/max-profit/ If someone here knows how to modify the sample code at one of those sites to fit the data I'm working with, I'd really like to see it. Or, if you have a link to another site that answers my question, please do share it. Thanks! Continue reading...
