We aim to help distribution and logistics industry move beyond reactive data usage toward predictive capabilities
IB Flows is designed to help logistics organizations move beyond reactive data usage toward predictive and generative capabilities. By unifying fragmented systems, connected assets, and operational data sources into a single, trusted, and actionable data layer, the platform enables companies to anticipate disruptions and automate optimization—without dismantling or replacing existing infrastructure.
Making Data Work Across Logistics Use Cases
In connected logistics environments, IB Flows consolidates data from fleet telemetry, warehouse systems, shipment tracking, yard management, and usage signals into a coherent, end-to-end view of operations.
From Reactive to Predictive — and Ultimately Generative
Early detection of delays, equipment anomalies, or capacity constraints helps reduce service failures, limit penalty costs, and improve on-time delivery performance.
For logistics asset and infrastructure optimization, IB Flows bridges the traditional divide between operational technology and enterprise IT systems. Real-time data from vehicles, material-handling equipment, and facilities is combined with enterprise planning and execution data to prevent downtime through proactive action. Maintenance and utilization data is translated into automated workflows that improve throughput and resource efficiency, while insights derived from real-world operating conditions and sensor anomalies help extend the lifespan of critical logistics assets.
Open, Agile, and Economically Efficient by Design
IB Flows is engineered to maximize returns on existing logistics technology investments. The platform integrates with transportation management systems, warehouse management systems, and other operational platforms at any level of digital maturity, eliminating the need for disruptive “rip-and-replace” initiatives. By abstracting technical complexity into reusable, consumable data products, it removes bottlenecks and accelerates the transition from pilot initiatives to production-scale deployment.
Cost efficiency is embedded into the operating model. Organizations incur no upfront investment and pay only for what they consume, while reducing overall costs by eliminating redundant tools and fragmented solutions across the logistics data ecosystem.
A step-by-step journey from raw logistics and operational data
IB Flows supports a step-by-step journey from raw logistics and operational data to fully operationalized, data-driven decisions. The process begins by connecting siloed data sources across fleets, warehouses, carriers, and supply chain partners without disrupting existing architectures. Reusable data products are then created, embedding logistics context, governance, and a comprehensive semantic model that accelerates innovation.
These data products can be connected directly to AI models, intelligent agents, applications, and analytics platforms. AI-ready data delivers measurable value within four to six weeks and can be scaled iteratively across networks and regions. Finally, insights are operationalized across fleet maintenance, service-level management, capacity planning, quality monitoring, and process optimization—enabling rapid experimentation and deployment without lengthy development cycles.