The beverage alcohol industry is one of the richest in operational signals with a 3-tier ecosystem of distributor movements, retail scans, depletions, pricing, resets, execution, programming, innovation cycles - no shortage of data flows. And few categories have commercial teams as rigorous, relationship-driven, and operationally committed as this industry. But despite all that sophistication, the industry remains one of the hardest environments for accessing timely, connected, decision-ready intelligence. The data exists everywhere - just never in one place, never in one language, and never fast enough for the decisions teams have to make every day. The result is a category rich in data but poor in real-time visibility.

I saw this first-hand through Twenty20 Systems, the enterprise automation and integration firm I founded more than six years ago. Over that time, we've supported hundreds of customers across the U.S., including multiple Fortune 500 companies, helping them modernize the way data moves through their organization. A significant portion of that work centered around the beverage alcohol industry—building the pipelines, data foundations, and intelligence layers that power some of the largest suppliers in the country. That vantage point gave me a unique lens into how commercial teams actually operate, and more importantly, where their decision-making repeatedly breaks down.

Across every organization, the same structural blind spot surfaced again and again: teams were working from data that lived on different timelines and described different versions of the business. Depletions told one story, retail scans told another, distributor scorecards added a third, and field teams surfaced issues that no system captured at all. Internal planning tools layered on yet another interpretation. Each dataset was accurate within its own universe but none of them aligned in a way that gave leaders a single, shared understanding of what was happening in the market. This wasn't a data-quality problem; it was a data-structure problem — one that no tool on the market was designed to resolve. And without that convergence, even the strongest teams were forced to operate inside an institutional haze, making high-stakes decisions with incomplete or conflicting signals.

This gap mattered long before the rise of AI. But now - with generative models, intelligent agents, and real-time analytics reshaping how companies operate—the cost of fragmentation is accelerating. Every major beverage supplier is hearing the same thing: adopt AI to improve execution, forecasting, innovation, and customer engagement. The ambition is correct, but the real challenge isn't adopting AI at all. It's giving AI a coherent, connected set of signals it can learn from. And for decades, that foundational layer simply hasn't existed in the beverage alcohol industry.

Introducing BevGenie

Solving this problem starts with a single requirement: a unified, harmonized data foundation: one that reconciles the natural inconsistencies across the three-tier system and expresses them in a common language. Only once that foundation exists can the industry move beyond dashboards and into a world where people simply ask questions the way they already think.

Questions like:

• Are we winning or losing right now?

• Is this program doing what we intended?

• Where is demand building before it's visible to everyone else?

• What should we do next?

That realization shaped the founding of BevGenie, powered by the ConsumerIQ™ Intelligence Platform.

The ConsumerIQ™ platform serves as the coherent data spine for the industry, ingesting and harmonizing signals from retail, distributor partners, regulatory systems, field teams, CRM, ERP, TPM, syndicated sources and more. It resolves decades of structural inconsistency into a single, consistent model the business can finally trust.

BevGenie is the AI-native layer on top of that foundation, interpreting these signals and returning answers the way people actually need them: clear explanations, relevant context, and recommended next steps that follow naturally from the story the data is telling.

This means a supplier can understand, within seconds:

• whether a price promotion is performing as intended

• whether a dip in velocity is caused by execution issues or true demand shifts

• whether a new innovation is gaining early traction

• where commercial attention should shift before competitors spot the same opportunity

Why We're Uniquely Positioned to Build This

Three things make us uniquely positioned to build this platform:

Integration DNA:

We've spent years connecting the hardest systems in and around beverage—VIP, NIQ, internal ERPs, CRMs, TPM platforms, and an entire long tail of operational tools. We know exactly where the data breaks and what it takes to make it line up reliably.

Deep category context:

Our team hasn't just served large suppliers; many of us have worked inside them. We understand how revenue, sales, marketing, and innovation teams make decisions in the real world. We know what "usable intelligence" actually needs to look like in this category.

AI as infrastructure, not garnish:

We're not sprinkling AI on top of legacy reports. We're using AI to operationalize intelligence—detecting early signals, filtering out noise, and delivering recommendations directly into the workflows where decisions get made. This is AI that drives outcomes, not AI that generates more dashboards.

Launching in January 2026!

We're preparing to launch our GA product in January 2026, supported by a select group of early pilot partners who are helping shape the contours of our MVP. Their hands-on feedback has been invaluable—clarifying not just what intelligence should deliver, but how it should feel for the people making decisions under real commercial pressure.

If you're a supplier, distributor, or retailer who wants to help define what modern commercial intelligence should look like, we would be happy to involve you in our pilot program. No pressure, no commitments; just a shared interest in finally building the system this industry has always needed.

In the long run, we believe the most successful beverage companies will be the ones that treat intelligence as a connected, always-on capability—not a monthly reporting ritual. BevGenie exists because that shift is overdue. And because this industry deserves tools that match the sophistication, intensity, and craftsmanship of the people working inside it.