Built on Microsoft Azure for Performance, Security, and Scale
Cloud Neato is developed on Microsoft Azure to deliver the reliability and scalability enterprise service organizations expect. Our multi-tenant SaaS architecture supports global deployments with enterprise-grade security, high availability, and rapid deployment options.
By running on Azure, Cloud Neato ensures compliance with your IT standards while maintaining the flexibility to adapt to region-specific data residency requirements or unique security policies. Built-in integration with Azure services means deeper interoperability with existing Microsoft investments, and access to advanced capabilities like encryption and automated failover.
Whether you're managing hundreds of forward stocking locations or coordinating across global 3PL partners, Cloud Neato’s modern infrastructure is designed to grow with your business.
AI-Native Architecture for Smarter Decision-Making
Unlike legacy applications that bolt AI onto dated workflows, Cloud Neato is designed from the ground up to be AI-native. That means machine learning, simulations, and prescriptive recommendations are built directly into the platform—no separate module or third-party engine required.
Our AI doesn’t just detect anomalies or generate forecasts—it helps you simulate alternate service supply chain configurations, evaluate tradeoffs in real time, and recommend actions that align with service goals and cost constraints.
AI agents are also embedded to streamline user tasks, such as identifying broken part chains and guiding configuration changes based on observed trends. These capabilities reduce the manual overhead that burdens traditional systems and help your team focus on exception management and strategic decisions.
Real-Time Visibility with Embedded Power BI and Time-Aware Data
Cloud Neato includes an embedded analytics layer powered by Microsoft Power BI. Unlike traditional systems that rely on batch reports or delayed data exports, our real-time data warehouse captures every transaction, trend, and configuration change.
Historical context is critical in service supply chains. Our “time machine” analytics allow you to analyze performance. Want to know how your replenishment logic performed under last quarter’s lead times and demand patterns? You can rewind and review decisions based on the exact conditions at the time they occurred.
This level of historical traceability and real-time insight enables more confident policy changes, easier root cause analysis, and more effective continuous improvement. And because the analytics platform is based on Power BI, your team can access, explore, and share insights using familiar tools—without waiting for custom reports or IT intervention.
