Supply chain automation and warehouse design with integrated controls and AI optimization
KPI Solutions operates as a vertically integrated systems integrator across material handling, warehouse automation, and supply chain consulting. The tech stack reflects deep industrial controls expertise—Rockwell Automation, Siemens, Allen-Bradley, Beckhoff, Schneider Electric—paired with modern data infrastructure (Kafka, Databricks, Tableau Cloud) and enterprise SaaS (NetSuite, Salesforce). Active hiring is heavily weighted toward engineering (12 roles, mostly senior and mid-level), with emerging projects in predictive maintenance and AI-driven optimization suggesting a shift from design-and-build toward continuous operational intelligence.
KPI Solutions provides end-to-end distribution and warehouse automation services across network strategy, facility design, material handling systems, robotics integration, and warehouse management software. The company serves distribution and logistics operators seeking to optimize order fulfillment, reduce labor dependency, and build scalable operations. Work spans greenfield deployments and brownfield automation retrofits. Offerings include consulting, system integration, CMMS platform deployment, and lifetime support. The organization is structured around engineering-led delivery, with data and product teams supporting predictive and optimization capabilities.
Rockwell Automation, Siemens, Allen-Bradley, Beckhoff, Schneider Electric, and associated protocols (EtherNet/IP, ControlNet, Modbus TCP, OPC UA). Also Ignition, FactoryTalk View, and AutoCAD Electrical for design and visualization.
Active projects include AI optimization for warehouse execution systems, predictive maintenance features, intelligent routing, closed-loop learning cycles, CMMS platform implementation, brownfield and greenfield material handling projects, and safety training program delivery.
KPI Solutions's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.