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AI-driven supply chain analytics leveraged by Fortune 500 brands

One of AgileEngine’s longest-running projects involves the strategic development and UI/UX design of a predictive supply chain analytics platform trusted by Dell, Gap, Cisco, and Johnson & Johnson. Our team played a major role in bringing the platform from a prototype to a patented AI/ML product top-listed by Gartner.
case study

Industries

Analytics, Big data, Artificial intelligence, Machine learning, Internet of things, Supply chain, Logistics

Services

Full-stack development, UI/UX design, Data engineering, QA and software testing, Prototyping, Customization

Solutions

Data visualization, Data pipeline, UI architecture, B2B application, Web application, Test automation, Dashboard

Technologies

Java, Spring, Hibernate, PostgreSQL, Maven, AWS, Angular 8, Docker, Kafka, Ansible, ELK stack, Apache Superset, XML, JSON, Gradle, Kubernetes, Apache NiFi

Outcomes
and highlights

  • The platform we helped build has landed a top spot on the Gartner Market Guide as a leading supply chain analytics solution
  • Our client has received a patent for an innovative approach to real-time big data collection and predictive analytics
  • More than 30 high-profile B2B clients have been attracted thanks to the solutions we implemented

Solutions overview

Predictive IoT analytics at scale

The product that AgileEngine has been helping build and continually improve for nearly a decade packs impressive analytics capabilities. The platform gathers information from vehicle sensors, ports, weather stations, and satellites, processing 100,000+ IoT events per hour. Our work on this platform covers IoT data streaming architecture, full-stack application development, UX/UI design, software testing, and database optimizations.

Key deliverables

High-load customer-facing system that tracks cargo and predicts its location and delivery time
Processing, ML analytics, and visualization of real-time big data
Infrastructure development and optimization of more than 700 microservices
Assistance with establishing an effective software development process
Software testing, including unit, integration, acceptance, functional, and regression testing

Technologies

  • Java, Spring, Hibernate, PostgreSQL, Maven, AWS, Angular, Docker, Kafka, Ansible, ELK stack, XML, JSON, Kubernetes, Gradle

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