Flow, Risks, Efficiency: The Era of Smart Warehouses Thanks to Real-Time Video Analysis

Introduction

Once perceived as mere storage centers, logistics warehouses are undergoing a radical transformation today. Pressure on deadlines, the explosion of e-commerce, traceability requirements, human risks: these are challenges that force logistics players to deeply rethink how they manage space, resources, and flows. In this context, one technology is emerging as a major optimization lever: real-time video analysis.

Thanks to cameras already installed in the majority of warehouses, video analysis, when boosted by artificial intelligence, becomes a continuous, autonomous, and unbiased observation tool. It provides access to a fine, dynamic, and quantified understanding of logistics operations. This white paper explores the uses, benefits, and prospects of such a revolution, powered by CORE, the real-time video analysis engine developed by XXII.

1. Logistics Under Pressure: New Challenges, New Requirements

Logistics is no longer a discreet link in the production chain: it has become the beating heart of the modern economy. Any failure in the supply chain directly impacts customer experience, financial performance, and even the brand image of companies.

The first challenge is time. Delivery times are constantly shortening. Amazon has established the standard of "next-day delivery," and the entire logistics chain must adapt to this pace. The second challenge is the complexity of flows: the multiplication of product references, management of returns, customization of orders, and multi-channel shipments require a flexible yet robust organization. The third challenge is the safety of people and goods. Between moving machines, pedestrians, and heavy handling, risks are daily.

In the face of these challenges, logistics needs tools for continuous observation that can detect, alert, and analyze significant events in real time. This is precisely what video analysis allows.

2. From Passive Camera to Intelligent Sensor

Cameras are already present in warehouses. But until now, their use has remained passive: they record, archive, and film. In the event of an incident, one consults the images. Real-time video analysis changes the game. By combining computer vision, machine learning, and visual language models (VLM), cameras become intelligent sensors, capable of transforming video streams into actionable data.

CORE acts as an invisible conductor. It observes the environment, detects anomalies, quantifies flows, and identifies friction areas. Most importantly, it does so without disrupting activity, without needing a badge, individual sensor, or additional hardware. Simply connecting CORE to existing video streams allows the warehouse to become readable, analyzable, and manageable.

3. CORE: An Operational Digital Twin in Real Time

The term "digital twin" is often misused. With CORE, it takes on a tangible and pragmatic reality. CORE creates a vivid representation of logistics activity: heat maps of active areas, traffic flow of trolleys, visualization of downtime, alerts for area overcrowding, detection of non-compliance with safety equipment... All in real time.

This new layer of visibility transforms decision-making. Where logistics managers had to rely on intuition or manual reports, CORE provides them with objective, continuous, and contextualized data. KPIs become visual. Decisions become proactive.

4. Use Cases: Safety, Productivity, Traceability

One of the primary benefits of CORE lies in safety: detection of risky behaviors, intrusions, anomalies in circulation, or unprotected safety equipment. Each alert can be configured according to site requirements.

On the productivity side, CORE identifies bottlenecks, measures loading/unloading times, analyzes equipment paths, and helps optimize space usage. The reorganization of a warehouse is no longer done blindly, but based on visual and quantified evidence.

Finally, traceability is enriched: every passage, every action is historically recorded visually. This allows for reconstructing an operation, proving compliance, or better collaborating with logistics providers.

5. The ROI of Enhanced Vision

The integration of CORE into a warehouse requires no infrastructure changes. The software connects to existing cameras, adapts to flows, and generates measurable results:

• Reduction of accidents by 20 to 40%

• Productivity gains of 10 to 25%

• Decrease in merchandise losses

• Improvement in service quality (deadline adherence, compliance)

CORE does not replace existing tools (WMS, TMS); it enhances them. It acts as a visual nervous system, feeding other components with a real-time view of the field.

6. Towards Predictive and Adaptive Logistics

The future of logistics does not rely solely on robotic automation, but on the ability to observe, understand, and continuously adjust. CORE prepares this transition towards adaptive logistics, capable of learning from its flows, anticipating disruptions, and adjusting to real-time demand.

With the advent of visual language models like Gemini or multi-source analyses (video, IoT sensors, ERP data), CORE becomes a scalable platform, a true analytical brain at the service of warehouses.

Conclusion

Logistics is entering a new era: that of total visibility, instant reactivity, and continuous improvement driven by data. By transforming cameras into intelligent sensors, XXII makes CORE a key tool for rethinking warehouses as intelligent, efficient, and safe spaces. Real-time video analysis is no longer a gadget but a strategic lever. Logistics operators who embrace it will gain a decisive advantage.