Best Computer Vision Supply Chain Solutions

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Transform Supply Chain Operations with Vision AI

End-to-End Computer Vision Integration

From strategy to deployment, we build and implement custom computer vision systems that monitor, measure, and optimize supply chain processes — using edge devices, cameras, and cloud AI platforms.

Warehouse & Fulfillment Automation

Leverage object detection, activity recognition, and spatial tracking to automate picking, packing, and inventory workflows — reducing errors and labor costs while boosting throughput.

Real-Time Inventory & Asset Visibility

Track goods, pallets, and containers in real time across warehouses, docks, and transit points using computer vision and IoT — integrated with your ERP, WMS, and TMS systems.

Our Clients

Drive Efficiency and Resilience with AI

Computer vision goes beyond images — it turns physical operations into actionable data. Nova brings deep expertise in AI, logistics, and enterprise integration to deploy solutions that perform at scale.

Vision System Design & Deployment

From hardware selection to camera calibration, we design robust vision systems tailored to your environment — including lighting, layout, and data requirements.

AI Model Development & Training

We build and train custom vision models (YOLO, Detectron2, OpenCV, etc.) for your specific use case — from defect detection to forklift tracking.

Cloud & Edge Architecture

Process data where it makes sense. We implement hybrid vision pipelines across edge devices (Jetson, Raspberry Pi) and cloud platforms (AWS, Azure, GCP) with secure, low-latency infrastructure.

Why Leading Operations Choose Nova

Vision AI Expertise from Lab to Warehouse

We combine deep learning R&D with real-world logistics experience to deliver vision systems that solve real operational problems.

Nearshore Delivery for Industrial Scale

Our engineering teams collaborate closely with your ops and IT teams — delivering quickly, cost-effectively, and in real time.

Secure, Scalable Infrastructure

Whether on the shop floor or in the cloud, we deploy resilient systems with real-time monitoring, OTA updates, and compliance controls (SOC 2, ISO 27001).

Frequently Asked Questions

Get quick answers to common questions about our cloud, AI, and DevOps services. Whether you're exploring a partnership or planning your next migration, we’re here to help.

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What supply chain challenges can computer vision solve?

Inventory miscounts and misplaced goods
Manual errors in picking/packing
Bottlenecks in conveyor and dock operations
Lack of visibility across warehouses and transit
Quality control in packaging or assembly

What services does Nova provide for vision solutions?

Use case analysis and ROI modeling
Camera and sensor infrastructure design
AI model training and deployment
ERP/WMS/TMS system integrations
Dashboarding, alerting, and analytics
Ongoing support and model tuning

Can Nova integrate with our existing systems?

Yes — we connect computer vision outputs to:

ERP systems (SAP, Oracle)
Warehouse Management Systems (Manhattan, Blue Yonder)
Transportation Management Systems
Custom dashboards and BI tools

Do you build on the cloud or edge?

Both. We design hybrid architectures that:

Run models locally for low latency
Sync data to the cloud for analysis and alerts
Use edge compute for reliability and resilience

Why use Nova’s nearshore AI teams?

AI and logistics expertise under one roof
Timezone-aligned collaboration
Proven success with enterprise supply chains
Flexible engagement models from PoC to global rollout

Computer Vision Supply Chain Systems