Derek made solid suggestions. What I can add is: it is often overlooked that inflation disrupts efficiency. So, you can look at the price of essentials basket in real dollars and see how it evolves. Modelwise I think you'd work with time series models since you are tracking the price of one object, the basket, over time.

I honestly like your idea #2 better, assuming you have access to individual data. Moreover you can scrape linkedin. Modelwise prediction works smoothly there too. Let me know what you think. (you can reply here)

• I like Big Mac Index a lot, you should look into it. Do your baskets correlate with that index?
• Are salaries catching up with inflation?
• This is a big economic question—inflation, wages, unemployment. Make sure to do a lit review.
• Consider economic theory—which relationships do you expect to hold?
• Can you scrape Argentinian grocery stores and compute your own basket and compare with the indices?

• Maybe add one screenshot/ad images capturing the competition in your intro hook slide. Ppl like images.
• I may have missed but mention clearly your research question. I think the topic is easy to communicate but the exact question needs a bit more specification.
• Your modeling is interesting. I wonder if you can find new dimensions/evidence for avenues of competition these companies are having. As you said google searches, or even social media campaigns.
• Maybe in your hook slide you can show a pic of a company trash talking about another company on social media. I think Taco Bell does that sometimes, or Burger King etc. Maybe soda companies are doing things like that too?
• I wonder how much of this competition is like all out war/conflict vs. collusion.

Link to our final project repo: https://github.com/jennanowland/Data400_Final