I’ve spent more than two decades in DTC wine. I’ve seen a lot of change, a lot of innovation, and most importantly, a lot of learning. The evolution of DTC from a public relations afterthought — if we let people taste our wines, maybe they’ll buy them at their local stores — to the data-driven science and art it is today has been remarkable to watch.
But nothing I’ve seen compares to what’s coming.
The advent of AI reminds me of the early days of the internet, when winery websites and email marketing felt like revolutionary tools. They were — and they still matter. But they will pale in comparison to what AI can and will do for Wine DTC.
Think you have a handle on AI? Buckle up.
Recently, Jensen Huang, CEO of Nvidia, declared that we had already achieved AGI — Artificial General Intelligence. Many in the tech world disagree, but it marks an important inflection point. It’s worth taking a hard look at where we are, where we’re headed, and what it means for DTC wine sales.
To do that, we need to understand two terms: AGI, and the AI we’re already using today, known as ANI. First rule of life and business: Be Prepared. There’s a lot more on the horizon.
ANI vs. AGI: The Core Distinction
ANI (Artificial Narrow Intelligence) is what exists today. Every AI tool — Claude, ChatGPT, Copilot, Midjourney is narrow: each is trained to do specific things well but cannot generalize beyond its domain. Claude, the tool I use daily, can write, reason, and analyze, but can’t drive a car or run a physical tasting room.
AGI (Artificial General Intelligence) refers to a system that can perform any cognitive task a human can: reasoning, learning, planning, and adapting across completely different domains with no retraining.
Importantly, it doesn’t exist yet. There is genuine scientific debate about when it will arrive, with estimates ranging from 2030 to 2045, to simply “never in our lifetimes” depending on the researcher.
A key distinction: AGI would not just assist with decisions; it could make them autonomously and learn from outcomes in real time.
Let’s take a look at what ANI can currently do in DTC Wine sales across two channels, Wine Club and Tasting Room, and also consider what it might be able to do in an AGI world.
Wine Clubs
ANI today: Segments members by purchase history, automates shipment reminders, personalizes allocation offers, writes wine club and brand copy, creates auto-reply scripts. A real-world example: Commerce7, the DTC platform used by over 3,000 wineries, launched an ANI-powered churn prediction model in 2025 that identifies at-risk club members with 74% accuracy, giving wineries early warning before cancellation happens. Their ChatDTC tool also lets winery staff query member data using plain conversational language–no technical knowledge required. Two other companies worth watching: Enolytics, which uses AI, machine learning, and predictive analytics to identify at-risk club members and drive DTC revenue growth (their winery partners averaged 17.9% DTC sales growth in 2022–2023, versus a national average of 5.2%); and Customer Vineyard, which applies AI and machine learning trained on $20B+ in upscale consumer spending to score each customer’s untapped revenue potential through their proprietary CV CoreScore. Both are strong examples of ANI working in the wine industry today.
In the AGI future: AGI would be able to understand why a member is disengaging; life change, palate shift, price sensitivity, economic shift and it would then proactively redesign their membership experience without human intervention. AGI could one day manage the full lifecycle of tens of thousands of member relationships simultaneously; each treated as a unique individual. Finally, AGI could create an app for the winery and personalize its use in a way that would simulate one-on-one conversations and sales.
Tasting Rooms
ANI today: Can organize and analyze POS analytics, staff scheduling tools, CRM lookup at point of sale, Lifetime Customer Value scores, taste and experience preferences, and more. A real-world example: Commerce7’s Insights feature now surfaces customer data at every tasting room touchpoint including reservation check-in–giving frontline staff a member’s purchase history, favorite varietals, and last visit details before the conversation even starts. Wineries using Klaviyo integrated with Commerce7 can also automatically trigger personalized follow-up emails the same day as a tasting room visit.
In the AGI future: AGI could manage real-time staffing decisions, dynamically adjust tasting flight pricing based on inventory, visitor patterns, and time of day, and conduct genuine personalized conversations with walk-in visitors (via ambient or kiosk interfaces) that adapt based on each person’s responses — not just scripts. Just a start.
Summary: Human relationship is the DTC moat. Wine DTC is fundamentally built on trust, story, and sensory experience. AGI may make operations dramatically more efficient, but the winery founder’s voice, the tasting room host’s warmth, and the handwritten note in a shipment will likely retain disproportionate value precisely because everything else becomes automated. More than a handful of wineries are reintroducing handwritten notes and sales postcards, old school but very effective ROI.
Data ownership is critical and cannot be overlooked. AGI systems will be only as good as the data they have access to. Wineries that have built clean, rich member data, purchase history, visit frequency, preferences, communication response patterns will have a significant competitive advantage.