About
Operating systems for modern commerce: systems, cadence, proof.
YOY.Group is a London-based operator studio that designs and installs operating systems for commerce — so brands sell, ship, and grow with discipline you can point to.
We work where brand meets operations: the workflows, decision loops, controls, and data flows that quietly determine whether a business compounds or stalls.
Default mode: build → ship → log proof. The surface stays calm. The system underneath gets sharper — week by week.
Who it’s for
- Scale-locked founders with demand but fragile operations (handoffs, inventory, exceptions, decision drift).
- COOs, Heads of Ops, and GMs who need a real operating cadence — clear owners, decisions, week-to-week throughput.
- Retail and Ecommerce leaders running multi-channel reality who want fewer leaks and cleaner execution loops.
- Systems and Data leads driving automation/AI adoption who need governance: logging, auditability, rollback paths.
- Creator-led brands and teams where the audience is strong but ops are improvised — merch, drops, and fulfilment that must hold under pressure.
- Intrapreneurs shipping commerce pilots inside larger organisations who need systems that move faster than procurement cycles.
What we do
- Design operating models for retail brands, commerce teams, and creator-led businesses
- Build workflow + data rails: integrations, data contracts, event tracking, and automation guardrails
- Translate strategy into an operating cadence that actually ships (weekly decisions, owners, deliverables)
How we work
- Timeboxed engagements focused on a small number of high-leverage moves
- Decisions documented, outcomes measured, claims backed by proof
- Systems designed to work for humans and agents (bounded, governed, auditable)
Note: “agents” here means bounded automation under explicit governance — not black-box autonomy.
What “proof” looks like
- A system map (what exists, what breaks, what matters)
- A cadence spec (meetings, owners, decisions, deliverables)
- A workflow spec (events, data contracts, failure paths)
- A bounded automation prototype (testable, reversible, with guardrails)
- A Proof Log entry (what changed, why, and where the evidence lives)
Proof beats promises. If it can’t be logged, it doesn’t count.
Not a fit
- Deck-only strategy with no implementation
- “Autonomous AI” theatre without governance
- Complexity used as a proxy for status
Where to start: read the Pillars for the operating model, then follow the Proof and Log for evidence and solved states.
Services are delivered via YOY.AI Studio — the consulting practice of YOY.Group.