Service model, scheduling discipline, metrics, and go-to-market
Humans execute; software enforces discipline.
| Constraint | Value | Rationale |
|---|---|---|
| Lead Time | 48 hours | Enables batching, reliability, cost control |
| Advance Booking | Weeks/months | Seasonal items, holidays, planned rotations |
| Service Days | Building-specific | Batch efficiency |
The 48-hour lead time is a deliberate policy that:
Customers can book returns weeks or months in advance:
| On-Demand Risk | SV Approach |
|---|---|
| Cost volatility | Predictable scheduling |
| Operational chaos | Batched service days |
| Customer anxiety | Planned, reliable delivery |
| Low density | Building-specific routes |
1. Customer schedules pickup (Calendly) β 48hr+ notice 2. Webhook creates action (pending_items) 3. Customer selects items in portal 4. Action status β pending_confirmation 5. Ops confirms booking 6. Ops executes pickup 7. Items scanned/verified at facility 8. Item status β stored 9. Action status β completed
1. Customer schedules delivery (Calendly) β 48hr+ notice 2. Webhook creates action (pending_items) 3. Customer selects stored items 4. Action status β pending_confirmation 5. Ops confirms booking 6. Ops retrieves items from storage 7. Ops delivers to customer 8. Customer confirms receipt 9. Item status β home 10. Action status β completed
1. Customer cancels in portal 2. Action status β canceled 3. Item status reverts: - scheduled_pickup β home - scheduled_delivery β stored 4. No penalty (within policy)
| Service | Code | Description |
|---|---|---|
| Pickup | pickup | Collect items from customer, transport to storage |
| Redelivery | redelivery | Return stored items to customer |
| Container Delivery | container_delivery | Deliver empty containers (future) |
SV-YYYY-NNNNNNPhase 1: Single unit (e.g., 280 sqft) Phase 2: Adjacent units (840 sqft, same location) Phase 3: Nearby micro-hub (new location, same market) Phase 4: New market micro-hub
| Metric | Target | Notes |
|---|---|---|
| Active Subscribers | Track growth | Core revenue driver |
| Contribution Margin | $200β$250/customer/mo | Unit economics health |
| Pickup/Return Cost | Minimize | Density dependent |
| Founder Support | $15kβ$20k/mo | Sustainability draw |
| Exception Rate | Minimize | Service quality |
| Metric | Definition |
|---|---|
| CUM | Containers Under Management |
| IUM | Items Under Management |
| DVUM | Declared Value Under Management |
| Retrieval Frequency | p50/p90 pickups/returns per customer/month |
| Storage Utilization | % of leased capacity in use |
| Customer Retention | Monthly/annual churn rate |
Lightweight in-building activations, always-on asset placement (flyers, digital signage). Storage lockers are utilities; SV reclaims space while improving resident experience.
| Risk | Mitigation |
|---|---|
| Flat plan overuse | Policy guardrails + batching + additional subscription for high-volume |
| Loss/damage trust | Documentation, chain-of-custody, clear protection policy, proper coverage |
| Operational scaling | Building density first, SOPs, inventory system, scheduling discipline |
| Last-minute changes | 48-hour policy, clear cancellation rules |
| Route inefficiency | Building-specific service days, batching |
What Exists:
What Does NOT Exist (Pre-Scale):
Ops tooling is future work. Current operations are manual with database queries as needed.