Designing Decisions

Both Canada and Australia live with a quiet contradiction: abundance and anxiety. Grocery aisles overflow, yet millions face food insecurity. Canada discards nearly $50 billion of edible food each year; Australia, about $36 billion. This isn’t a shortage of food — it’s a shortage of decision design. Our food chains react instead of reflect: buy too much, over-stock, mark down, discard. Each decision makes sense in isolation but chaos in combination. We’ve built efficiency around the wrong rhythm.

What’s missing isn’t more technology — it’s cognition with rhythm. Food systems need a way to breathe, learn, and adapt, to make choices that are not just quick, but conscious. That’s where Two-5-Two enters — the architecture that turns decision chaos into decision design. 

The Two-5-Two Shift

Two-5-Two.world teaches organizations — and families — to design their decisions before they automate them.

It moves with a rhythm:

Pause → Play

Pause to observe, to sense what matters.

Play to experiment, test, and evolve.

Then come the Five A’s:

Ask what’s really being decided — price, placement, or purpose. Absorb all signals — weather, income shifts, emotions, waste patterns.

Access the right intelligence at the right moment.

Activate small, adaptive actions — redistribution, dynamic pricing, donation triggers.

Attune — measure, learn, refine, and begin again.

Underneath flow the Two Triangles, Situation and Opportunity, the twin lenses that keep decisions grounded in reality yet open to possibility.

Two-5-Two doesn’t replace human judgment; it reveals it, structures it, and scales it through AI.

With this rhythm, Coles Group and Loblaw Companies Limited can build the Netflix of Food, a cognitive engine that streams decisions instead of shows.

It links together:

grocery stores and warehouses

food banks and community kitchens

local councils, farms, and logistics networks

AI predicts surplus before it forms and shortage before it hurts. It reroutes perishables in real time, balances pricing to keep food affordable, and synchronizes generosity with need.

Humans stay in command, defining ethics, empathy, and context, while AI amplifies awareness and precision. Together they create a decision partnership that scales compassion through computation.

Why Government of Canada and Australian Government Can Lead

Coles is already deploying ChatGPT Enterprise and edge-AI analytics, a living testbed for decision-driven retail.

Loblaw, backed by Canada’s sovereign AI-compute strategy and a multi-billion-dollar investment in digital supply chains, can pioneer the world’s first national food-intelligence grid. Both countries have the infrastructure, the trust, and the moral mandate to prove that decision literacy can feed a nation.

Netflix learned to profit from attention.

Grocery can learn to profit from alignment, the harmony between efficiency and empathy. A decision-designed food system can:

Eliminate edible food waste.

Anticipate community hunger before it manifests.

Reduce cost of living through precision logistics.

Empower families with personalized, affordable nutrition.

Poverty isn’t just lack of money, it’s lack of decision leverage. When access is designed, equity becomes scalable.

Imagine decisions flowing through a cognitive grid, every store a sensor, every home a signal, every meal a feedback loop.

The Pause prevents blind automation.

The Play invites innovation.

The Attune ensures learning never stops.

That’s how societies evolve from managing waste to designing intelligence that nourishes both people and planet.

Because in the end, it always circles back home.

The purpose of intelligence — artificial or human — is to help us live aware.

So picture this:

you’re sitting with your two kids, opening the family’s food budget for 2027, not to restrict spending, but to design experiences.

You ask:

What can we grow, cook, or discover together?

What cultures could we taste and learn from this year?

How can we direct part of our food budget to the local food bank?

You realise you’re doing exactly what Two-5-Two teaches:

pausing, playing, asking, absorbing, accessing, activating, and attuning, only this time, not in a boardroom, but at your own table.

That’s the Netflix of Food at its purest form, a pattern where every home becomes a node of awareness, every meal a moment of connection, and every decision a design for care.

And I can tell my son and daughter, that between 2007 and 2009, when I worked as a consultant for Loblaw, I saw up close how the food business really works.

How much intelligence, coordination, and emotion

it takes to move a single product from farm to shelf. That experience changed how I saw food forever. It taught me that behind every barcode lies a chain of decisions, who eats, who profits, who wastes, who waits.

Maybe that’s why this feels like unfinished business.

Unfinished not because something failed, but because no decision ever truly ends. It just advances — learning, adapting, and finding new meaning in a new time.

And this — this vision of a cognitive, compassionate food system, is simply the next advance. A continuation of that long decision to make food smarter, fairer, and more human.

Netflix learned to predict what we’d watch.

Grocers can learn to predict what societies need to eat.

But this time it isn’t about entertainment, it’s about dignity, empathy, and planetary care.

DECISION first, AI next.

Because when we design our decisions consciously, AI doesn’t just help us think, it helps us care at scale - learn108.com