Deploying a video analytics solution at a pilot site remains feasible for most organizations. Scaling from 5 to 200 sites while maintaining the same level of reliability, responsiveness, and compliance requires an entirely different approach. It is precisely in this area that French video AI vendors are building their competitive edge: the ability to scale deployment without overburdening the existing infrastructure.
This article explains the technical and organizational mechanisms that enable a video AI vendor to scale up in the retail and logistics sectors. It details integration criteria, regulatory compliance, and measurable operational benefits from the very first weeks.
A large-scale deployment refers to a vendor’s ability to connect, configure, and operate dozens or hundreds of sites using a single video analytics solution. This approach involves simultaneously processing thousands of video streams from heterogeneous camera networks that are already in place.
The difference from a pilot project lies in three key areas: the reproducibility of configurations, the centralization of data, and the stability of processing under real-world conditions. A vendor capable of scaling up does not simply duplicate a solution site by site. It standardizes the onboarding process and ensures consistency of metrics across the entire network.
We leverage existing video infrastructure to drastically reduce deployment time. This approach allows us to connect a site in just a few days without requiring our customers to invest in new sensors or overhaul their hardware.
The CORE platform analyzes video streams from standard IP cameras and transforms them into directly actionable operational data: foot traffic levels, product availability, area occupancy rates, and logistics throughput. This native compatibility with existing systems eliminates common technical barriers.
XXII’s governance places particular emphasis on the ethical issues related to computer vision. We develop tools for operational performance, not tools for tracking individuals. For us, this distinction is not a regulatory detail; it is a founding principle that shapes all of our product decisions.
The non-biometric approach is based on an analysis of collective behaviors without identifying individuals. The processed data remains natively anonymized, which simplifies regulatory approvals for each new deployment. This ethical rigor goes hand in hand with a resolutely pragmatic product approach.
The European regulatory framework is evolving with the implementation of the AI Act. French software providers that have built compliance into their products from the design phase have a structural advantage in supporting their clients through this regulatory transition.
A large-scale deployment is only valuable if it generates comparable and actionable metrics. Every XXII project is built around measurable operational objectives from the very first weeks: reducing in-store out-of-stock rates, reducing average wait times in public-facing facilities, and improving the flow of operations in the warehouse.
The platform centralizes these KPIs in a unified dashboard that allows for site-by-site performance comparisons. This real-time visibility transforms video data into a tool for operational management rather than merely a means of observation.
A cloud-based or hybrid architecture forms the technical foundation for a successful multi-site deployment. This configuration enables centralized processing of video streams without requiring multiple local servers at each site. XXII offers flexible deployment options tailored to each organization’s constraints: cloud, on-premises, or hybrid.
This flexibility addresses a variety of requirements across different sectors. Transportation companies often prefer hybrid architectures to ensure service continuity even in the event of a network outage. Retail chains predominantly opt for the cloud to simplify maintenance and accelerate updates.
We have focused on retail as a priority application area where real-time analysis of foot traffic has a direct and measurable operational impact. Video analytics makes it possible to identify high- and low-traffic zones, measure customer dwell times, and trigger automatic sales alerts.
Retailers deploying the solution across dozens of stores gain a consolidated view of their sales performance. This diversity of use cases strengthens the CORE platform, as each deployment introduces new use cases and refines the detection algorithms.
In warehouses and logistics hubs, video AI provides real-time visibility into loading, unloading, and order fulfillment operations. It measures the throughput rate, identifies bottlenecks, and optimizes the allocation of personnel to critical workstations.
The data collected makes it possible to compare the performance of multiple sites and identify best practices to replicate. This data-driven approach replaces rough estimates with verifiable and comparable metrics.
XXII has been recognized through its inclusion in the French Tech 2030 program, which highlights the most promising French technology companies. This ambition has also been validated by the selection of the CORE platform among the AI solutions chosen by the Interministerial Directorate for Digital Affairs for public administrations.
This institutional recognition confirms that the French approach to video AI meets the reliability, compliance, and performance requirements expected by public and private sector stakeholders.
Choosing a partner capable of scaling up hinges on four key factors: the solution’s ability to integrate with your existing camera infrastructure, its native GDPR compliance, the robustness of its technical architecture, and the quality of its operational support.
We recommend validating these criteria through an initial pilot before committing to a large-scale deployment. The first measurable results should appear within a few weeks, not several months. A vendor that promises benefits without grounding them in verifiable metrics likely lacks the necessary technical maturity.
For the years to come, XXII’s ambition remains guided by our original conviction: the best technology is not the one that imposes the most complexity, but the one that makes what truly matters visible—simply and quickly. Our goal is to become the European leader in real-time analysis of high-traffic locations, maintaining at every step this commitment to concrete, measurable results that respect people.
XXII is rooted in the belief that the physical world has a lot to say, and that the right technology must simply know how to listen to it—at the right time, for the right reasons.
A French video AI software provider designs and markets video analytics platforms based on computer vision. XXII is one of these companies that develops solutions compliant with European regulations, using a non-biometric approach and an architecture suited for multi-site deployment.
Large-scale deployment relies on connecting existing cameras to a cloud-based or hybrid platform that centralizes the processing of video streams. XXII’s CORE platform allows for quick configuration of each site and generates comparable KPIs across the entire deployed network.
French software providers like XXII build GDPR compliance into their solutions from the design phase. The non-biometric approach ensures native data anonymization and simplifies regulatory compliance. XXII develops operational performance tools that do not identify individuals.
Retail and logistics are the two priority sectors for multi-site deployment. XXII helps retailers reduce stockouts and wait times, while logistics operators optimize their loading and order-fulfillment workflows.
A multi-site deployment with XXII can begin in just a few days per site, using existing cameras. The first measurable operational results appear within the first few weeks, not months. This speed is made possible by the CORE platform’s native SaaS architecture.