AI-driven supply chain visibility and orchestration platform
FourKites processes 3.2M+ supply chain events daily across 1,600+ global brands using a stack anchored in Python, Java, and cloud infrastructure (AWS, Azure, Kubernetes). The engineering-heavy hiring mix and active project list reveal a sharp pivot toward agentic AI workflows: LangGraph, LangChain, and n8n feature prominently in integration work, while pain points cluster around scaling AI implementations and ERP connectivity — suggesting the company is moving beyond real-time tracking into autonomous supply chain decision-making.
Notable leadership hires: Customer Engineering Director
FourKites builds a real-time supply chain visibility and orchestration platform that ingests orders, shipments, inventory, and asset data to create a digital twin of enterprise supply chains. The product combines event processing (3.2M events daily) with AI-powered automation to enable proactive disruption prevention and task orchestration rather than reactive tracking. Customers span Fortune 500 brands and mid-market logistics operators across multiple geographies. The company is scaling integration architecture and AI agent capabilities to handle complex ERP ecosystems and customer-specific workflows.
FourKites runs on Python, Java, AWS, Azure, and Kubernetes (EKS/AKS). It uses OpenAI, LangGraph, LangChain, n8n, Temporal, and SAP/Oracle integrations for supply chain data processing and AI workflows.
FourKites processes over 3.2 million supply chain events daily, spanning purchase orders through final delivery across 1,600+ global brands.
FourKites, Inc.'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.