Wine Discoveries From Our Data Are Shaking Up the Wine World

wine discoveries, wine app, wine and tech

We have exciting news. It has been a fascinating year of wine discoveries and delights for us, and it is finally time to share with you some of the fruits of our labor.

The first set of surprising results are coming out of our algorithm, and the data is worth exploring. As a reminder, our Artificial Intelligence collects data based on user’s blind ratings of our wines. Then, this machine learning uses this data to recommend better wines for each individual in the future. In addition to allowing us to better serve our customers and provide exiting wine discoveries, it has given us unique insights into the wine world. And the capacity to challenge certain long standing assumptions.

For one thing, American style wines do not enjoy the privileged position in wine that industry ‘wisdom’ would have you believe. In fact, customers are giving more favorable treatment to European style wines, even if they come from here in California.

How The Data Is Gathered

Before we send even a single bottle to a consumer, we carefully evaluate the wine on a number of different scales. Experienced sommeliers like myself tackle the difficult process, not of judging the wine, but of establishing its complex profile. With up to 200 data points per bottle.

These are the data points that the algorithm then uses to line up wines with consumers, based on the traits of the wines they have enjoyed in the past. Palate Club customers love the endless wine discoveries available through out platform and portfolio. With more customers comes more data. we began to observe patterns in their behavior. Patterns which help us understand their preferences.

We noticed right away that we were able to group wines into different clusters based on their style. Wines themselves fit into broad categories depending on their shared characteristics, which more or less fit into established ways of viewing wines.

These style clusters break the norm because instead of grouping wines by their region or grape, we group them by their taste. We may mention a familiar wine in the description of the cluster as a benchmark, but it’s the data that brings each wine in that cluster together. For example, we can group red wines together that have high alcohol, full body, and lean towards darker, riper red fruits—think Napa Cabernet. However, not all the wines in that cluster are necessarily from Napa or even Cabernet. There could be a ripe Nero d’Avola made in Virginia!

Once we associate the personal data with the wine clusters it becomes even easier to observe, and understand, what the data is telling us.

Our Initial Wine Discoveries

Red Wines

Our best performing red ‘clusters’ are the Baron (Bordeaux style reds), Savage Beast (like Northern Rhône Syrahs), and the Mediterranean (for that Rioja feel). This runs counter to the wine industry rhetoric. Many believe Americans prefer big oaky Napa-style cabernets like those favored by influential critic Robert Parker. Instead Americans appear to be leaning towards styles commonly associated with European wines.

One of our fascinating wine discoveries is that this isn’t a bias in favor of foreign wines, because American wines with non-traditional profiles are also increasingly popular. The customers don’t seem to be favoring a particular region but instead a particular style of wine. This information could shake up an industry defined by decades of ‘Parkerization’.

White Wines

For white wines there appears to be a similar trend. Our members prefer more acidic, fresher wines in lieu of the traditional oakey Californian style. The top white clusters were the Salty Aquaholic (Chablis style whites), the Barista (think Pinot Grigio), and Oversized & Opulent (similar to Condrieu). It’s important to note that Napa Chardonnay still ranks quite highly showing that the orthodox style remains popular, but hardly dominates. Instead the results show a wide open field, very different from the ranked hierarchies so many wine aficionados adhere to.

There Is Room For A Lot More Information

The initial results are certainly promising, and surprising. They are mere hints at the vast amount of intriguing information out there. We will continue to arduously gather more as customers continue to rate wines, and new members and bottles join our adventure.

Already we have demonstrated that the received wisdom in the wine community is not backed up by the evidence, but that leaves a huge gap. If Americans do not prefer the classic California/Napa style, what do they want? What makes a wine stand out when you take away the label, the medals, the branding and marketing? The taste, of course.

Ultimately taste is unique and subjective, and each member will enjoy each wine differently. This is the fundamental truth behind our model. We we seek not to rank wine, but to match wines to members who will enjoy them. First, we continue to deliver wines to our members they will enjoy. Then, they will continue to feed us the information needed to uncover trends and solve mysteries in the wine world.

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