AI-powered workforce management platform for retail operations
Logile operates a SaaS platform for retail workforce optimization, built on Java, Spring Boot, and Kafka, running at scale across AWS EKS and Azure. The tech stack and active projects signal a shift toward cloud-native SaaS delivery (emphasis on cloud deployments, microservices design, mobile onboarding) while the pain-point list reveals a support-heavy operation hitting classic scale friction: reducing support tickets and classroom training hours, improving CSAT/NPS, and managing integration complexity at enterprise scope.
Logile provides an AI-powered workforce management platform designed for retail operations. The product spans labor scheduling, forecasting, task management, food safety compliance, budgeting, and labor standards modeling. They serve mid-market to enterprise retailers globally, with a particular focus on large-scale SaaS deployments for tier-1 customers. The company operates from Southlake, Texas, with distributed hiring across the United States, Canada, and India; current headcount sits in the 201–500 range, with an active hiring velocity concentrated in marketing (4 open roles), support (4), and engineering (3).
Logile's core platform runs on Java and Spring Boot with Kafka for streaming, containerized via Docker and Kubernetes on AWS EKS. The front-end spans Angular and React; infrastructure includes AWS, Azure, and on-premise Windows/macOS environments managed via Azure AD and Microsoft 365.
Active projects include labor planning product enhancements, cloud-native SaaS deployments (AWS/Azure), mobile onboarding experiences, in-app guidance (WalkMe), large-scale enterprise rollouts, and multilingual documentation—signaling a focus on scalability and user enablement at enterprise tier.
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