Autonomous Inventory for
Warehousing & Distribution

Distribution centers and fulfillment hubs face relentless pressure to maintain accurate inventory without shutting down operations. Autonomous drone inventory is transforming how leading operators manage cycle counts, physical inventories, and real-time pallet visibility.

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The Hidden Cost of Manual
Inventory Management

Inventory inaccuracy in warehouses and distribution centers is not a minor operational inconvenience — it is a systemic cost driver that impacts labor, throughput, customer satisfaction, and financial accuracy simultaneously. The scale of the problem is frequently underestimated because the costs are distributed across multiple budget lines and cost centers, making the true total invisible to most operations teams.

The average distribution center conducts a full physical inventory two to four times per year. Each PI consumes dozens or hundreds of labor hours, requires material handling equipment to be diverted from productive picking and put-away work, and still delivers results that are out of date by the time the data reaches a planning system. Between PIs, inventory accuracy degrades daily — creating a growing gap between what the WMS says and what is actually on the shelf.

Labor Overhead

Cycle counting and PI execution consume 2-4 FTEs of dedicated labor, plus MHE pulled from productive operations. Fully-loaded cost: $100,000-$200,000+ per year in mid-size facilities.

Inventory Inaccuracy

The average distribution center operates at 85-92% inventory accuracy. Every point of inaccuracy drives failed picks, mis-shipments, customer service costs, and safety stock inflation.

Operational Disruption

Physical inventory requires work stoppages, aisles blocked for counting, and equipment diverted from order fulfillment — directly reducing throughput on the highest-demand days.

$224B
Annual US inventory distortion costs
2×/yr
Average PI frequency without automation
87%
Typical pre-automation accuracy
60%
Labor cost reduction with Corvus (LAPP USA)

How Corvus One Transforms
Warehouse Inventory

Corvus One deploys fully autonomous drones that fly through warehouse aisles at walking speed — scanning every pallet position, reading barcodes, measuring slot occupancy, and uploading discrepancies directly to your WMS — without any human operator, without WiFi, and without modifying your racking or facility. The drone takes off from its Corvus Cradle charging station, completes its assigned aisles, and returns to charge. Every night. Every shift. With zero labor input after initial deployment.

Within 3 months of go-live, facilities consistently achieve 98-99%+ inventory accuracy — up from typical pre-automation baselines of 83-92%. Count frequency increases from 2-4 times per year to 26+ times per year. Labor dedicated to counting is reallocated to higher-value inbound and outbound operations. Material handling equipment is freed from counting runs and returned to productive picking.

Corvus One™ Inventory Drone

20× Faster. 99%+ Accuracy. Zero Labor.

The world's first fully autonomous warehouse inventory drone. No pilot, no WiFi, no infrastructure changes. Corvus One scans 200-400 pallet positions per 20-minute flight and delivers a complete discrepancy report synced to your WMS before the next shift begins.

20× faster than manual cycle counting
98-99%+ scanning accuracy within 3 months
250 slots/hour with 90%+ travel efficiency
Operates lights-out, during active shifts, or both
WMS bidirectional integration — auto-resolves discrepancies
Corvus One autonomous warehouse inventory drone flying through distribution center
Corvus One cold chain drone operating in sub-zero freezer warehouse
Cold Chain & Frozen

-20°F Rated. No Infrastructure Changes.

Cold storage and frozen warehouses present the most extreme inventory management challenge. Worker exposure limits, injury risk, and PPE costs make manual counting expensive and infrequent. Corvus One for Cold Chain operates autonomously at -20°F — eliminating human entry for routine counting entirely.

Rated for continuous operation at -20°F
Reads frosted and low-contrast labels from multiple angles
No lighting changes, markers, or WiFi required
Reduces frozen zone labor exposure to zero for counting tasks

Real-Time Inventory Intelligence

The Corvus AIMS (Autonomous Inventory Management System) platform gives operations teams full visibility into inventory accuracy, location coverage, flight statistics, space utilization, and discrepancy trends — all in a single dashboard accessible from any device.

Inventory Accuracy Tracking

Side-by-side pre vs. post-Corvus accuracy. Audit progress and remaining locations at a glance.

Discrepancy Drill-Down

Quantity mismatch, wrong slot, missing item, unexpected occupancy — each categorized with AI-suggested WMS correction.

Space Utilization Analysis

Identify slots below 20% fill. Consolidate low-volume pallets and reclaim storage capacity without a manual audit.

Flight Scheduling

Set recurring aisle-by-aisle missions on a calendar. Add, subtract, or rearrange based on daily operational priorities.

Corvus AIMS inventory management dashboard showing accuracy statistics and discrepancy analysis

Corvus One at Work

Warehouse drone inventory management at scale

Cold chain autonomous inventory — the frozen warehouse problem solved

Calculate Your Savings

Use our free interactive calculator to model your annual savings from Corvus One based on your facility size, temperature environment, FTE count, and current inventory accuracy. Most facilities see payback in 10-22 months.

Key ROI Drivers
60% labor cost reduction — reallocate FTEs to picking and fulfillment
30-50% write-off reduction — improved accuracy reduces shrinkage
MHE reallocation — forklifts returned to productive operations
13× count frequency — catch discrepancies daily, not quarterly
Open Drone ROI Calculator →
SERVING YOUR REGION

Actel Robotics deploys and supports Corvus One across Texas, Louisiana, and Oklahoma — home to some of the largest distribution center networks in the South and Gulf Coast region.

Warehousing Questions

The typical timeline from proposal to go-live is approximately 3 months: proposal → RaaS agreement → WMS integration and pre-deployment (1 month) → Corvus engineers onsite 1-2 weeks for installation → go-live on AIMS. Actel Robotics manages every step.
Corvus integrates with most major WMS platforms. WMS integration is included in the installation package. If you don't have full WMS integration, a lightweight CSV/XLS export option is also available.
Yes. Corvus One flies at walking speed and automatically routes around forklifts, pickers, and other robots. It can operate during any shift — day, night, or lights-out. Most facilities run overnight scans for maximum throughput without any disruption.
Corvus One for Cold Chain is rated for operation at -20°F. It reads frosted labels using adaptive vision control, requires no special lighting or infrastructure, and operates fully autonomously in freezer environments — eliminating human counting in these high-exposure zones entirely.

Ready to Automate Your Inventory?

Talk to Actel Robotics about deploying Corvus One in your distribution center — serving Texas, Louisiana, and Oklahoma.