AI-native delivery and logistics automation for enterprise supply chains
LogiNext operates a SaaS platform automating end-to-end delivery and transportation for large enterprises, with a stack built on React, Angular, Java, Spring, and MySQL running on AWS and Azure. The company serves over 200 enterprise clients across e-commerce, retail, and B2B distribution, and is actively hiring across engineering, marketing, product, and sales—with a notably senior leadership cohort (28 senior-level roles)—while tackling two interconnected scaling challenges: rendering massive data volumes in real-time visualization and implementing enterprise infrastructure (ERP, microservices, SLA management) to support operational complexity at that scale.
LogiNext is an AI-powered SaaS platform that automates order scheduling, routing, dispatching, customer communication, and real-time tracking for large enterprises across e-commerce, retail, transportation, and omni-channel fulfillment. The platform processes over 1 million orders daily across more than 50 countries for over 100,000 enterprise users. Founded in 2015 and headquartered in Jersey City, the company operates regional offices in Dubai, Mumbai, Delhi, and Kuala Lumpur, serving clients in courier, parcel, quick-service restaurant, and B2B distribution verticals. LogiNext is privately held with 201–500 employees and is growing at approximately 100% year-over-year.
React, Angular, Java, Spring, MySQL, MongoDB, Elasticsearch on AWS and Azure. Testing infrastructure includes Selenium, JUnit, JMeter, and Appium. Data visualization leverages D3.js and mapping via Google Maps and OpenStreetMap.
LogiNext operates in more than 50 countries and maintains regional offices in Dubai, Mumbai, Delhi, and Kuala Lumpur. The platform is used by over 100,000 enterprise users globally, with hiring currently active in India.
LogiNext'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.