AI-driven SaaS for last-mile delivery routing, dispatch and tracking
LogiNext runs a delivery automation platform on a Java/Spring core with a heavy data layer of Kafka, Spark, Hadoop, Cassandra and Redshift, plus PostGIS for geospatial routing. Hiring is concentrated in India and skews senior and VP-level across engineering, product and sales. Job posts flag IPO preparation, tighter financial controls and an ERP rollout, which points to a company formalizing operations for public-market scrutiny.
LogiNext provides a configurable SaaS platform that automates order scheduling, routing, dispatch, customer communication and real-time tracking for enterprise delivery and transportation operations. It sells to large enterprises in courier, express and parcel, quick-service restaurants, retail, eCommerce and B2B distribution. The company was founded in 2015, is privately held, has 201–500 employees and is headquartered in Jersey City, New Jersey. It has regional offices in Dubai, Mumbai, Delhi and Kuala Lumpur, and its platform is used in more than 50 countries.
LogiNext builds on Java, Spring and Jakarta EE with MySQL, MongoDB, Cassandra, Redis and Elasticsearch. Its data stack includes Kafka, Spark, Hadoop, Hive and Redshift, with PostGIS for geospatial work, running on AWS and Azure.
LogiNext's current hiring is in India. Open roles span engineering, product, sales, HR, finance, marketing, ops and security, and they lean toward senior and VP-level positions.
LogiNext's job posts mention building a new engagement platform, implementing ERP, delivering a high-availability microservices platform, building advanced visualization products and handling system integrations for large global enterprises.
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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.