Unión Ganadera delivers tailored insights across 12,000 stores with Strategy

Unión Ganadera’s Transformation at a Glance

5–25% sales growth at stores implementing AI‑driven product recommendations

Reduced inventory costs through predictive stock management and smarter replenishment

Improved distributor margins through optimized product focus and mix

Enhanced brand awareness and customer acquisition across regions

The Challenge

Unión Ganadera produces more than 3,000 kilograms of beef products per hour and distributes them through ten separate networks to over 12,000 local stores. Operating at this scale requires complete visibility across its distribution ecosystem.

But each store owner operated independently and needed location-specific data to make merchandising and stocking decisions. Without personalized visibility into sales performance, stores struggled to optimize their Unión Ganadera product selection, often understocking popular items while overstocking slow movers.

To address this challenge, Unión Ganadera established two transformation goals. The first was to unify its data sources into a single, governed source of truth across all 12,000 stores. The second was to deliver personalized recommendations that would help each store optimize shelf selection and product mix.

“We knew there were opportunities to help our distributors sell more effectively, but we couldn't see the patterns clearly enough to act.”

Ignacia Genes

General Manager, Unión Ganadera

The Strategy: Building a Governed, AI‑Driven Retail Network

The Foundation

Unión Ganadera implemented Strategy Mosaic as its universal semantic layer to unify data sources, centralize metrics, and establish a single source of truth across all distribution channels. Mosaic consolidated sales data, inventory levels, customer purchasing patterns, and store performance metrics across its 12,000‑store network.

The Solution

Built on this governed data foundation, Unión Ganadera leveraged Strategy AI to analyze cross‑selling patterns, predict stock requirements, and generate optimized product mix recommendations for each store based on location, customer demographics, and historical performance.

The Differentiation

The AI identified the best product pairings, forecasted inventory needs, and recommended optimal margins for each distributor. What once required months of manual analysis could now be executed instantly, enabling faster, more informed merchandising decisions across the entire distribution network.

The Application

Today, Unión Ganadera uses real-time data insights to optimize logistics, improve distribution efficiency, and support more consistent decision‑making across its nationwide retail footprint.

“When we provided distributors with data-driven recommendations about which products to carry and how to display them, sales increased immediately.”

Ignacia Genes

General Manager, Unión Ganadera

Turning Data into Sales, Efficiency, and Expansion

The Impact

Within the first month of implementation, Unión Ganadera saw measurable results. Stores using AI‑driven product mix recommendations experienced 15–25% sales growth, driven by improved brand visibility and more effective product placement.

The Future

With strong results in Buenos Aires, Unión Ganadera plans to expand its Strategy‑powered distribution optimization across Argentina. As new production lines increase capacity, the company aims to use data and AI to support more effective merchandising decisions nationwide.

The Long-Term Vision

Unión Ganadera’s long-term goal is to become Argentina’s largest food brand while maintaining the quality and operational consistency that fueled its growth. Strategy’s governed data foundation will support the continued expansion of these optimization strategies across its distribution network.

“Now we have immediate AI insights that drive real business value. Our distributors see the value immediately. Better recommendations mean better sales performance for everyone.”

Ignacia Genes

General Manager, Unión Ganadera