We built the operating system retail leadership teams have always needed but never had.

Retail businesses generate more data than ever. They also have more tools than ever. And yet the executive walking into the Monday trade meeting still spends the first thirty minutes reconstructing what happened, rather than deciding what to do about it.

Every department shows up with their own lane. Trading sees revenue. Buying sees cover. Digital sees paid efficiency. Marketing sees engagement. Each of them is right about their slice. None of the tools, none of the reports, none of the AI assistants currently in the market synthesises across all of them simultaneously and tells the executive what the combined picture actually means.

Below the executive layer, the operational work that follows every trade decision still falls to people. Markdown recommendations built from scratch. Trade recaps written manually and forwarded by hand. GTM briefs reconstructed weekly. Board reports that take three days to assemble and are out of date by the time they land.

We built Laminir to solve both problems at once: aggregated intelligence at the top, execution at the bottom, and accountability through the middle.

We start from a different premise. The job of an intelligence platform for retail leadership is not to surface metrics — it is to render a weekly verdict. So Laminir reads across every lever of your business — trade, buying, digital, marketing, customer, inventory — and produces a single, opinionated read on what the combined picture means and what should change.

That synthesis is held in longitudinal memory. Last week's decision becomes context for this week's. This week's commitment becomes accountability for next week's. Most platforms forget the day they generate a report. Laminir remembers your business — every brief, every recommendation, every decision your team committed to, and what actually happened in the week that followed.

Below the brief, agents handle the recurring operational work the executive layer used to push down to people. Markdown recommendations. Trade recaps. GTM execution briefs. Board pack assembly. Each agent is constrained by your stated strategic direction — what you said matters at the top of the year — so the work that gets done in between trade meetings stays in service of the larger plan.

And the whole platform is built specifically for retail. Not general business intelligence pressed into retail shape — designed from the first principle around the rhythms of merchandise, trade, and cadence-driven decision making.

Laminir is built by retail operators with decades of executive experience across global fashion and consumer brands. Our team has held CEO, General Manager and Executive GM roles inside heritage luxury houses, premium fashion brands, mass-market consumer businesses, and high-growth DTC retailers — and worked across APAC, the United States, the United Kingdom and Europe.

We've scaled regional businesses into international ones, launched flagship stores in the most demanding global department store environments, and built wholesale networks across multiple continents. We've restructured leadership teams during periods of rapid growth, established C-suite capability inside founder-led businesses, and supported founders through the transition from operator-led decision-making to scalable operating models.

Across those decades, the same scene kept repeating. Every Monday morning, in every business we ran or advised, the trade meeting opened with thirty minutes of reconstructing what had happened the week prior. Every department arriving with their own slice of the picture. Decisions made under time pressure with half the data, and nobody — not the tools, not the reports, not the AI assistants now flooding the market — synthesising across them. The reports were never the bottleneck. Synthesis was. And the week after the meeting disappeared into operational work that should have been automated five years ago.

Laminir is what those rooms needed all along — intelligence at the top, execution at the bottom, and a memory that holds the entire decision history together. We've spent our careers advising retail and consumer businesses on the practical application of AI to decision-making, operating models and leadership adoption — not tools alone. We built Laminir because no one else would.