Industries We Serve

Logistics

Scale your warehouse operations without scaling your headcount — and do it in existing infrastructure.

Humanoid robot in warehouse
The Challenge

The warehouse labor problem isn't a cycle. It's a structural shift.

US warehouse labor costs run $30–45/hr fully loaded — before injury liability, turnover replacement costs, and the compounding inefficiency of shift constraints. E-commerce demand doesn't respect shift changes. Customer expectations for same-day and next-day fulfillment apply equally at 3am and 3pm.

Fixed automation — conveyor systems, AMRs, gantry robots — solves parts of the problem but requires infrastructure buildouts that take years and lock facilities into rigid workflows. When SKU diversity is high and order patterns are irregular, fixed automation hits a ceiling. The floor still needs flexible capability.

  • US warehouse labor: $30–45/hr fully loaded cost
  • Musculoskeletal injury rates among the highest of any US industry
  • Labor shortages persist despite elevated wages
  • 24/7 fulfillment demand vs. hard shift constraints
  • High SKU diversity makes fixed automation brittle
  • Infrastructure rebuilds for traditional automation: years and millions
Why Humanoids, Not Fixed Automation

Your facility. Unchanged.

A humanoid robot works in the environment you already have — existing racking, existing workflows, existing floor layouts. No conveyor retrofit. No structural modification. No six-month integration project before you can run a single shift.

The flexibility that makes humans irreplaceable in high-SKU environments — the ability to reach, reorient, and adapt to an irregular object — is the same flexibility that makes humanoid robots the right tool for logistics. Fixed automation solves for one task. A humanoid solves for the category.

  • Adapts to irregular item sizes, weights, and orientations without reprogramming
  • Operates in existing facility — no infrastructure modification required
  • Handles standard warehouse item weights across diverse SKU types
  • Multi-task capable: pick, transport, inspect, audit within a single shift
  • Scalable: add units without expanding floor footprint
  • Redeployable across zones as demand patterns shift
Use Cases

Four roles across the warehouse floor.

Each deployment is task-configured before arrival at your facility. FleetOS connects directly to your WMS — SAP, Oracle, Manhattan, and major tier-2 platforms — through a standard REST API layer. No custom middleware. No parallel system.

01
Pick & Place Operations
Item handling across diverse SKU types. Adapts to irregular shapes and orientations without operator reprogramming. Sustained throughput across 24/7 operating windows without fatigue, injury, or shift-change gaps.
02
Internal Material Transport
Inter-zone movement of goods, components, and containers without conveyor dependency. Robots navigate the same aisles as human workers — no dedicated lanes, no floor modification, no exclusion zones required.
03
Multi-Shift 24/7 Operation
No overtime. No sick days. No scheduling gaps between shifts. A robot that begins a pick run at 11pm finishes it at the same throughput rate it achieved at 11am. Consistent output regardless of hour, day, or season.
04
Quality Inspection & Audit
Dimensional verification, damage detection, and count reconciliation integrated into the movement workflow. Exceptions surface in FleetOS in real time — not at end-of-day reporting. Errors caught before they leave the facility.
Proven at Scale

The deployments that set the benchmark.

Agility Digit operates inside Amazon fulfillment centers. Apollo (Apptronik) runs in manufacturing environments. Figure 02 has moved from pilot to production deployment. These deployments proved the model — humanoid robots operating in real warehouses, not controlled demos.

These deployments proved the model. SyncoMind brings the same capability — through AGIBOT hardware, the world's highest-volume humanoid manufacturer — to logistics operations across New York Metro.

Robot hands performing pick-and-place on conveyor
By the Numbers
24/7
Continuous operation — no shift gaps, no overtime
$8–15
Per hour robot cost vs. $30–45/hr warehouse labor
$0
Infrastructure modification required — works in your existing facility
14 days
Contract to live deployment, NYC metro
WMS Integration
Fleet of robots in distribution facility

Connected to your WMS on day one.

FleetOS integrates with standard WMS platforms through a REST API layer — no custom middleware, no parallel system, no six-month integration project. Task queues are generated from your existing WMS output. Robot status, exception flags, and throughput metrics feed back into the same dashboards your operations team already monitors.

Real-time reporting means floor managers see what's happening as it happens — not in an end-of-shift summary. Exceptions are surfaced immediately. Throughput is visible by zone, by robot, and by shift window.

  • REST API integration — SAP, Oracle, Manhattan and major tier-2 WMS platforms
  • Real-time task queue management from existing WMS output
  • Exception flagging and incident logging via FleetOS dashboard
  • Throughput reporting by zone, unit, and time window
  • No proprietary hardware lock-in — standard API throughout

Plan your warehouse deployment.

We assess your facility, define the task configuration, and model the throughput and payback before you commit to anything.

Talk to Our Logistics Team