Beyond Theory: CPG & Retail Insights That Work

Retail space is sacred. Shelf wars are real. And when high-rotation SKUs start running out mid-day, everyone—from shoppers to store teams—feels the strain.

We helped a global CPG brand flip that script. The result? A custom dispenser that tripled inventory capacity and halved replenishment time. No floorplan changes. Just smarter design, powered by data.

The Real Bottleneck Isn’t Space—It’s Visibility

Most shelf optimization projects focus on planograms and promo rotations. But the real inefficiency often lives in the gaps between replenishment cycles, unpredictable demand, and outdated systems. That’s where we started.
By embedding predictive insights and ergonomic design into the daily retail routine, we helped turn a shelf into a growth engine.

Why This Matters: When Availability Fails, So Does Loyalty

Out-of-stocks cost retailers billions annually—and shoppers rarely wait around. In an aisle full of choices, your product has one shot at staying visible and available.
A 300% increase in shelf capacity and 50% reduction in refill time isn’t just a design win—it’s a sales win. And in today’s margin-tight environment, that’s everything.

3 Retail Innovation Lessons That Actually Move the Needle

Start With Deep Listening—Not Assumptions
Every great solution begins with a better question. We sat down with everyone from shelf-stockers to store managers to understand pain points that data alone couldn’t reveal. Pattern recognition, not just dashboards, uncovered where design could meet unmet needs.

Prototype Early. Iterate Fast. Scale with Confidence.
You don’t get to transformative by playing it safe. Our team built low-fi models to test in real environments, learning in real time. Fast feedback loops helped us refine the design until it worked across store formats—with no disruption to store ops.

Build a System That Thinks Ahead
We embedded predictive analytics and smart alerts into the refill process, so store teams could act before stock-outs happened. It’s not just reactive support—it’s proactive enablement. When decisions are data-driven, shelves stay full and customers stay happy.

Where to Start: Small steps, smart focus.

Start where it counts most. The real risk isn’t trying AI—it’s waiting too long. Combine AI’s precision with human empathy and strategic thinking to build CRM that truly works.

Beyond Theory: CPG & Retail Insights That Work

The Real Bottleneck Isn’t Space—It’s Visibility

Why This Matters: When Availability Fails, So Does Loyalty

3 Retail Innovation Lessons That Actually Move the Needle

Where to Start: Small steps, smart focus.

Start where it counts most. The real risk isn’t trying AI—it’s waiting too long. Combine AI’s precision with human empathy and strategic thinking to build CRM that truly works.

Mexico City

US

Bogotá

Madrid