I got tired of manually checking prices across different retailers and restaurants, so I ended up building winelabs.ai, “Bloomberg for wine”, with a friend. Here’s what our price comparison matrix looks like. It’s been super helpful to quickly find out wine prices globally.
Still very much a beta version, but would love any feedback or thoughts!
by iliashark
6 Comments
Man, finding out about wine-searcher is really gonna suck for you.
The thing is, retailers arent fungible. Some retailers suck, somer etailers are great, so the price in isolation without knowing things like delivery time, storage conditions, etc, isnt that helpful.
Wow, this is kinda cool. Do you have anyone from the trade/somm community helping you with the sanity check? Let me know if you need any input. I think you can granulate the data even further to identify hidden gems/regions.
Personally don’t see the use in it and from a glance don’t understand how the numbers work
Works well on mobile which is where I would use it the most while in a wine shop, although the horizontal scrolling is not ideal at times. Seems new hampshire liquor outlet is missing, any chance their prices can be added? Will try this out next time I’m shopping!
I mean the most obvious contribution here would be, in addition to retail and restaurant, tracking the secondary market, which is probably the most relevant to the people on this subreddit. The secondary markets are almost certainly better at price discovery and auction results give you actually market clearing prices, rather than the listed but unsold prices.
You definitely need to be plugging in auction results, and auction pricing. It would be helpful to split your category prices as follows.
Auction/ Retail/ Restaurant
I’m assuming you’ll be able to aggregate pricing data to show graphs and trends based on these categories as well. As we know that the price trends may different from auction/retail to restaurant.
For auction data, I’d like to be able to list different data comparison between listed prices, unsold lots, and lots sold too.