Warehouses move fast. Every second counts—whether you’re tracking reducing shrinkage, or keeping teams safe on the floor. Yet, conventional video security still leaves most operators in the dark, with video that’s hard to search and alerts that come too late. Did you know U.S. warehouses lose billions of dollars annually to theft and cargo-related crime, and manual inventory errors can delay operations? These aren’t just security problems—they’re operational headaches that hit your bottom line.

The warehousing sector faces unique monitoring obstacles: sprawling perimeters, complex workflows, heavy equipment, and strict safety mandates. That’s why more operators are turning to AI video intelligence platforms. By combining AI video analytics, real-time alerts, and cloud-powered search, these solutions transform video from a passive record into an active tool for warehouse safety, compliance, and operational efficiency.

But with so many platforms on the market, how do you pick the right one? In this guide, we break down the top 8 AI video systems for warehousing in 2025. We’ll compare features, implementation, and ROI—spotlighting the subtle differences that matter most on the warehouse floor. Whether you run a single site or a national network, this is your playbook for choosing the best partner in industrial video monitoring.

At-a-Glance: Top 8 AI Video Systems for Warehousing

Deep Dives: How the Top AI Monitoring Systems Stack Up in Warehousing

Spot AI

• Core Technology Capabilities and Specifications: Spot AI transforms warehouse video into actionable intelligence. Its hybrid platform combines an on-site intelligent video recorder with secure cloud storage, delivering AI video analytics for real-time incident detection, AI-powered search, and automated alerts. The solution is camera-agnostic, supporting most ONVIF-compliant IP cameras, and features a user-friendly dashboard for multi-site oversight.

• Implementation Requirements and Timeline: Spot AI is designed for swift deployment—most customers are live in under a week. The setup reuses current cameras, minimizing downtime and installation costs. No complex IT configuration or proprietary hardware is required.

• Total Cost Considerations: With a transparent subscription model and no mandatory hardware lock-in, Spot AI delivers low total cost of ownership (TCO). Customers save on upfront capital, maintenance, and IT overhead, with ROI typically realized within the first year.

• Integration Capabilities with Existing Systems: The platform connects seamlessly with warehouse management systems, access control, and industrial IoT devices via open APIs. This flexibility supports operational efficiency with AI cameras across legacy and new infrastructure.

• Target Use Cases and Industry Applications: Spot AI excels in tracking SOP adherence, reducing theft, monitoring forklift and vehicle safety, enforcing PPE compliance, and streamlining investigations across multi-site operations.

Coram AI

• Core Technology Capabilities and Specifications: Coram AI offers a cloud-native video platform with AI-driven analytics for vehicle and personnel tracking, automated alerts, and floor plan mapping. The system optimizes bandwidth for reliable performance in sites with limited connectivity.

• Implementation Requirements and Timeline: Deployment is fully cloud-based, connecting with in-place IP cameras. Typical setup is fast, but requires stable internet for optimal functioning.

• Total Cost Considerations: Coram AI uses a subscription model based on camera density and analytics features. TCO is competitive for cloud-first sites, but may rise with high camera counts.

• Integration Capabilities with Existing Systems: The offering supports open IP camera protocols and can be linked to warehouse management software through APIs.

• Target Use Cases and Industry Applications: Ideal for remote or distributed warehouses needing centralized management, especially where bandwidth is a constraint.

Arvist AI

• Core Technology Capabilities and Specifications: Arvist AI specializes in vision-based quality control and compliance automation, using existing security cameras or mobile devices to inspect shipments, verify labels, and monitor safety protocols.

• Implementation Requirements and Timeline: The platform boasts fast implementation—operational visibility within 24 hours, leveraging current infrastructure with minimal setup.

• Total Cost Considerations: Pricing is tied to throughput volume and AI module customization. No new hardware is required, keeping TCO low for targeted use cases.

• Integration Capabilities with Existing Systems: Connects with mobile devices and can link to warehouse management systems for real-time documentation.

• Target Use Cases and Industry Applications: Best suited for loading docks and environments needing fast quality checks, safety compliance, and shipment verification.

Eagle Eye Networks

• Core Technology Capabilities and Specifications: Eagle Eye offers a unified cloud VMS with AI analytics for intrusion detection, loitering alerts, line-crossing, and object counting. Its open API is compatible with 14,000+ devices.

• Implementation Requirements and Timeline: Cloud-based setup with flexible camera connection. The process is straightforward but requires reliable internet.

• Total Cost Considerations: Subscription pricing scales per camera and analytics package. TCO is predictable, but ongoing cloud fees apply.

• Integration Capabilities with Existing Systems: Works with access control platforms (Honeywell, SALTO) and third-party logistics software.

• Target Use Cases and Industry Applications: Designed for multi-site logistics, large warehouses, and operators needing advanced analytics across many locations.

Avigilon

• Core Technology Capabilities and Specifications: Avigilon provides end-to-end hardware/software with AI-driven incident detection. Appearance Search tracks individuals across sites, and ruggedized cameras withstand harsh warehouse environments.

• Implementation Requirements and Timeline: Accommodates hybrid deployments (cloud/on-premise). Installation is more involved due to specialized hardware.

• Total Cost Considerations: Higher initial investment for rugged cameras, with costs scaling by camera spec and storage needs.

• Integration Capabilities with Existing Systems: Mobile control apps and API support allow connection to existing security and management systems.

• Target Use Cases and Industry Applications: Is well-suited for cold storage, high-dust, or outdoor logistics hubs where hardware resilience is critical.

Dahua Technology

• Core Technology Capabilities and Specifications: Dahua delivers high-definition AI cameras with WizSense analytics, compatible with behavioral analysis, access control, and construction-phase documentation.

• Implementation Requirements and Timeline: On-premise installation with unified security management. The rollout may require professional services for large-scale projects.

• Total Cost Considerations: Pricing is per camera and VMS license. Lower ongoing costs, but upfront investment is needed.

• Integration Capabilities with Existing Systems: Works with access control and time-lapse documentation systems for operational benchmarking.

• Target Use Cases and Industry Applications: Ideal for large-scale warehouses, construction-phase monitoring, and process benchmarking.

Honeywell

• Core Technology Capabilities and Specifications: Honeywell’s Intelligent Video Analytics monitors 35+ object behaviors, with a focus on equipment monitoring and shrink management.

• Implementation Requirements and Timeline: On-premise setup, typically involving more complex connection with existing industrial systems.

• Total Cost Considerations: Costs are tied to camera count and analytics modules. The rollout is capital-intensive but can improve operational efficiency.

• Integration Capabilities with Existing Systems: Connects with industrial IoT and warehouse management platforms for operational insights.

• Target Use Cases and Industry Applications: Best for equipment monitoring, safety compliance, and freight flow optimization in large, complex environments.

Milestone Systems

• Core Technology Capabilities and Specifications: Milestone’s XProtect VMS combines video management with AI analytics via partners like BriefCam and Irisity. Features include Smart Map, adaptive streaming, and third-party device integration.

• Implementation Requirements and Timeline: Accommodates cloud, on-premise, or hybrid rollouts. Modular setup can be tailored to site requirements.

• Total Cost Considerations: Per-camera licensing with modular pricing. TCO varies by scale and analytics needs.

• Integration Capabilities with Existing Systems: The open architecture supports APIs and connection with a wide range of analytics and warehouse management tools.

• Target Use Cases and Industry Applications: Is ideal for multi-site, enterprise-scale logistics needing centralized oversight and scalability.

Ready to Improve Your Warehouse Security and Operations? Book a Demo with Spot AI Today

Choosing the right AI video intelligence solution isn’t just about cameras—it’s about improving safety, efficiency, and profitability on your warehouse floor. With Spot AI, you get swift deployment, actionable insights, and a platform that grows with your business—without the headaches of proprietary hardware or hidden costs.
Book a demo with our team of AI video experts and see how Spot AI can help you cut shrinkage, boost compliance, and make your operations safer and smarter.

Frequently Asked Questions

What are the main benefits of AI video intelligence for warehousing?

AI video platforms deliver more than just security—they automate theft detection, improve inventory accuracy, enforce safety compliance, and streamline investigations.

How quickly can an AI video solution be deployed in a warehouse?

Deployment timelines vary by vendor. Spot AI and Arvist AI can be live in under a week, leveraging current cameras and infrastructure. Conventional systems that require proprietary hardware or complex on-premise setups may take several weeks to months.

Can I use my current cameras with these AI video platforms?

Most leading providers—including Spot AI, Coram AI, and Eagle Eye Networks—support ONVIF-compliant IP cameras, allowing you to reuse your existing hardware and minimize upgrade costs.

How does AI video analytics improve operational efficiency?

AI video analytics automates the detection of workflow bottlenecks, tracks vehicle and personnel movement, and flags safety violations in real time.

What is the typical return on investment (ROI) for AI video solutions in warehousing?

Many warehouses realize ROI within 12 months, thanks to reduced theft, improved team productivity, and fewer safety incidents.

About the author

Amrish Kapoor is VP Technology at Spot AI, specializing in AI system architecture, computer vision, and scalable cloud infrastructure for industrial security. With over a decade leading technical innovation in AI video analytics, Amrish is passionate about empowering frontline teams to use operational video data for safer, more efficient warehouses.