About Pete: AI, books, business, coaching, and loud guitars.

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I’m Peter Drakeley, the person behind Drakeley Labs.

By day, I’m the Chief Revenue Officer at EazyStock, where I lead across sales, marketing, partnerships, customer success, and onboarding. Most of my professional life has been spent in and around supply chain software, helping businesses think more clearly about inventory, operations, growth, and customer value.

I’m also finishing a PhD focused on Inventory Optimisation adoption in SMEs — which is a fancy way of saying I’m deeply interested in why smaller businesses often struggle to adopt tools and practices that could make them stronger, sharper, and more resilient.

Drakeley Labs is where I bring all of that together.

Why Drakeley Labs exists
 

I created Drakeley Labs as a personal laboratory for the things I can’t stop thinking about: AI, data, business, decision-making, books, people, systems, and what it really takes to build better organisations.

It’s part notebook, part workshop, part research lab, and part public experiment.

I'm learning AI and data science properly—not simply to use the latest tools, but to understand them deeply enough to build useful things and solve meaningful problems.

But over time, Drakeley Labs has become about something bigger than technology.

I believe that better businesses are built by better people. Technology matters, but so do curiosity, judgement, discipline, leadership, communication, and the willingness to keep learning. AI can amplify those qualities—but it can't replace them.

That's the philosophy behind Drakeley Labs.

The business bit

Professionally, I’ve spent years working with commercial teams, software products, supply chain problems, and SME customers.

I care about questions like:

• How do businesses make better decisions?
• Why do teams struggle to trust their data?
• How do sales, marketing, onboarding, and customer success work together properly?
• Why do so many companies have powerful systems but weak insight?
• How can smaller businesses use AI and analytics without drowning in complexity?

These are the kinds of questions I explore through Drakeley Labs.

The research bit

My PhD work looks at how SMEs adopt Inventory Optimisation — not just the software, but the behaviours, processes, support structures, and organisational changes needed to make it stick.

That has taken me into areas like SME decision-making, ERP systems, supply chain planning, adoption frameworks, demand forecasting, implementation challenges, and the gap between what vendors sell and what smaller businesses can realistically absorb.

The AI bit

I’m currently on what I call My AI Odyssey: a long-term attempt to learn AI, data science, Python, machine learning, and AI engineering from the ground up.

The goal isn’t just to become another person prompting chatbots. The goal is to become technically capable enough to build useful things, understand the underlying ideas, and apply AI intelligently to real business problems.

That means reading, coding, experimenting, breaking things, rebuilding them, and occasionally staring into the middle distance wondering whether linear algebra is personally attacking me.

The human bit

My background is in theoretical physics, which still shapes how I think. I like first principles, elegant explanations, deep structures, and the feeling that beneath a messy surface there might be a simpler truth waiting to be discovered.

Outside work and research, I coach grassroots rugby and football. Coaching has taught me as much about leadership as any business role—how confidence is built, how teams develop, how people learn, and how small improvements made consistently often outperform grand plans.

I'm also fascinated by human performance more broadly: how we learn, build habits, make decisions under pressure, and become more capable over time. Much of Drakeley Labs explores that intersection between technology and human potential.

When I'm not working, I'm usually reading, playing rock 'n' roll guitar, attempting to get fitter, or disappearing down an internet rabbit hole on quantum computing, neuroscience, or whatever has captured my curiosity that week.

What you’ll find here

On Drakeley Labs, I write about the things I’m learning and thinking through:

• Artificial Intelligence and Data Science 
• Decision-making and Systems Thinking 
• Human Performance and Continuous Learning 
• SMEs, Supply Chains and Inventory Optimisation 
• Sales, Leadership and Commercial Growth 
• Books, Research and First-Principles Thinking 
• Experiments, Mistakes and Lessons from Building in Public

Some articles will be polished. Others will simply document something I'm trying to understand. I don't see Drakeley Labs as a place to demonstrate expertise—it's a place to develop it, openly and honestly. 

In short

Drakeley Labs is where my worlds collide: commercial leadership, supply chain software, PhD research, AI, data science, physics, books, coaching, music, and the pursuit of better ways to think, learn and build.

It's built on a simple belief:

Better Humans. Better Business.

Because when curious people combine good judgement, continuous learning and powerful technology, extraordinary things become possible.