Services
Three lenses. One discipline.
YOY builds execution systems: clear cadence, clean handoffs, auditable decisions, and automation with guardrails. The public surface is calm; the work is precise.
Services delivered through YOY.AI Studio — the client-facing consulting practice of YOY.Group.
How this fits together
- Retail
- Decision layer: who owns what, what gets reviewed weekly, and how commercial reality stays visible.
- Creators
- Culture-led revenue: calendar-driven drops and merch systems, with relationship capture so output compounds without chaos.
- Rails
- Execution layer: events, messaging, access, and proof so the system behaves predictably under load.
Most teams start with the layer that is currently breaking their week. Each service works standalone, and connects cleanly if you later need the full stack.
Lenses
Intake →Retail
View →Operating models and execution cadence for brands that need clarity, speed, and control — without enterprise overhead.
Outcomes
- A weekly trading rhythm with real accountability
- Fewer operational leaks (stock, data, handoffs)
- A roadmap that ships, with risk gates
Good fit
- Founder-led retail brands
- Operators rebuilding the core machine
- Partners supporting retail clients (advisory / franchise / platform)
Not a fit
- Branding-only engagements
- Deck-only strategy with no build follow-through
- Teams seeking complexity as status
Creators
View →Turn calendar, content, and audience into a repeatable merch system — drops, access, and retention tied to real moments.
Outcomes
- Merch cadence aligned to events and releases
- Better retention via owned channel + light CRM
- Cleaner fulfillment with fewer manual ops
Good fit
- Artists / DJs / creators
- Managers and talent teams
- Labels, promoters, and touring operators
Not a fit
- One-off merch without a system
- “Growth hacks” without a product loop
- Teams without ownership of the audience surface
Rails
View →Web2-first, Web3-ready rails for commerce and community — identity, access, provenance, and automation on Telegram-friendly infrastructure.
Outcomes
- A safe bridge from existing stack into rails
- Clear constraints: permissions, audit, failure modes
- Partner-ready architecture for pilots and rollouts
Good fit
- Platforms and ecosystems (TON/Telegram-adjacent)
- Brands exploring loyalty, provenance, and access
- Teams needing deterministic automation with guardrails
Not a fit
- Token launches as marketing
- Black-box “autonomous AI” claims
- Anything that can’t be governed or audited
Modules
Engagements are assembled from a small set of modules. This keeps the work lean, repeatable, and governable.
Operational Cadence
Weekly rhythm, decision points, and responsibility mapping. The machine runs when the schedule is real.
Supply & Inventory
Assortment, pricing inputs, intake, and inventory signals. Less guesswork, fewer leaks.
Retention
Owned channels, lightweight CRM, and post-purchase loops. Compounding beats campaigns.
Proof
Logs, before/after, and traceable decisions. No claims without evidence.
Rails
Identity, access, provenance, and automation boundaries. Predictable execution under load.
Engagement modes
Three ways to start. All are timeboxed. All end in something real.
Diagnostic
A short, bounded assessment that ends in a clear plan.
- Current-state map (stack + workflows)
- Primary bottlenecks + risk register
- 30-day action plan with gates
Build Sprint
Timeboxed implementation of a small number of high-leverage changes.
- One or two modules shipped (e.g. Operational Cadence + Proof)
- Guardrails and failure-mode handling
- Handoff notes and operating discipline
Operator Retainer
Ongoing execution support when the system needs to stay tight.
- Weekly cadence + accountability loop
- Incremental improvements and hardening
- Proof logging + iteration discipline
Intake
If you want to explore fit, send a short note: current stack, primary constraint, and what success must look like in 30 days.
Proof over promises. Timeboxed by default.