Electric Micromobility

Voro Motors

OTIF 86% to 96% | Inventory Days 150 to 95

96%
OTIF Rate
95
Inventory Days
12 days
Repair Time
-55%
Repair Backlog

The Situation

Voro Motors is an electric micromobility brand founded around 2017, based in the greater Los Angeles area. They sell electric unicycles, electric scooters, and e-skates online, operating as both a DTC brand and an authorised dealer and distributor for third-party EUC brands including Begode, Kingsong, and Inmotion.

The business model spans DTC via voromotors.com, Amazon seller, and occasional wholesale to dealers. Significant revenue comes from the enthusiast and hobbyist EUC niche. Voro does not manufacture its own hardware -- it sources finished goods from Chinese OEMs in Guangdong and Shenzhen, with inbound shipments to a California warehouse. Fulfillment runs via FBM and FBA depending on SKU. Lithium battery products face IATA and DOT restrictions for air freight, limiting restocking speed.

Growth had exposed structural weaknesses in a hardware plus service-heavy business that operated more like a product company than the product plus service ecosystem it actually was.

  • Inventory ballooning to 150+ days
  • No separation between sales inventory, repair/service inventory, and dead stock
  • Repair backlog increasing weekly
  • Hazardous goods shipping inconsistencies
  • No structured spare parts planning

We partially exited after transitioning from embedded operators to an advisory layer, stepping back as internal capabilities developed.

Our Role

Embedded operators running supply chain and service operations. We owned inventory architecture, repair operations, compliance, and demand planning across both the sales and service sides of the business.

  • Inventory segmentation and management (sellable vs. service vs. dead stock)
  • Repair backlog tracking and SLA enforcement
  • Dangerous goods compliance (battery shipping standardisation)
  • Dual demand planning: sales demand + spare parts consumption
  • RMA classification and supplier feedback loops

Engagement Phases

Phase 1 -- Stabilisation

0-90 Days

Prioritised risk over efficiency.

  • Split inventory into sellable, service parts, and dead stock
  • Introduced repair SLAs and built backlog visibility
  • Standardised dangerous goods handling for lithium battery shipments
  • Validated shipping processes for compliance
90%
OTIF
from 86%
18 days
Repair Time
from 21 days
Stabilised
Repair Backlog
from growing

Phase 2 -- Systemisation

3-12 Months

Reframed the business as a product plus service ecosystem and built systems for both.

  • Dual demand planning: sales forecast + spare parts consumption model
  • Regional warehouse-level min/max stocking
  • Service-level segmentation
  • RMA system with failure-type classification and supplier feedback
120
Inventory Days
from 150
94%
OTIF
from 86%
15 days
Repair Time
from 21 days
-35%
Repair Backlog

Phase 3 -- Scale & Resilience

Year 2
  • Dual-sourced critical components
  • Expanded service network
  • Introduced insurance and compliance frameworks
95
Inventory Days
from 150
96%
OTIF
from 86%
12 days
Repair Time
from 21 days
-55%
Repair Backlog
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