Meet Pete - AI, books, coaching, business, and loud guitars.

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 lab for the things I can’t stop thinking about: data, AI, business, decision-making, books, systems, and better ways of working.

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

I’m learning AI and data science properly — not just as someone who wants to use the latest tools, but as someone who wants to understand how they work, build with them, and apply them to real-world problems.

I’m especially interested in the messy middle: the gap between theory and practice, between big-company technology and SME reality, between “we have loads of data” and “we actually know what to do next.”

That’s the space Drakeley Labs lives in.

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, clean explanations, deep structures, and the feeling that behind a messy surface there might be a simpler truth hiding somewhere.

Outside work and research, I coach grassroots sports (football & rugby), which has taught me a lot about confidence, communication, patience, and the tactical chaos of small humans chasing a ball in all directions at once.

I also play guitar and love rock ’n’ roll. 

What you’ll find here

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

• AI and data science 
• SMEs and better decision-making 
• Inventory optimisation and supply chain thinking 
• Sales, growth, and commercial leadership 
• Books and ideas that shape how I see the world 
• Experiments, mistakes, notes, and lessons from learning in public 

Some of it will be polished. Some of it will be exploratory. Some of it may be me trying to understand something difficult without pretending I’ve already mastered it. That’s the point.

In short

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

It’s powered by the belief that useful ideas often come from mixing disciplines that don’t obviously belong together.