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Logile, Inc. Tech Stack

AI-powered workforce management and operations platform for retail

Retail Southlake, TX 201–500 employees Founded 2005 Privately Held
logile.com LinkedIn

Logile operates a SaaS platform for retail workforce and operations optimization, built on a polyglot stack spanning Java, Python, and React with significant ML depth (TensorFlow, PyTorch, scikit-learn, MLflow). Active adoption of modern test-automation tools (TestRigor, Testim, Mabl) paired with infrastructure reliability listed as a top pain point suggests the company is scaling toward enterprise-grade deployments while reworking QA processes. Leadership-heavy hiring (director, leads, managers) combined with large-scale enterprise delivery projects signals a shift toward managed-services delivery for tier-1 customers.

Tech Stack 79 technologies

Core StackAWS Java Selenium Playwright Python JavaScript Postman Jenkins GitLab CI/CD Azure DevOps Docker Kubernetes Angular React scikit-learn FastAPI Flask TensorFlow PyTorch MLflow Weights & Biases Apache Airflow Prefect TypeScript Azure REST Assured GCP JMeter Gatling Spring Boot+46 more
AdoptingTestRigor Testim Mabl

What Logile, Inc. Is Building

◆Challenges

  • Reliability of infrastructure
  • Shrink
  • Service level improvement
  • Labor cost control
  • Reducing churn rates
  • Delivering on-time enterprise implementations
  • Managing complex delivery issues
  • Ensuring customer success
  • Replenishment
  • Scalability and performance challenges in saas deployments

▲Active Projects

  • Fresh food and inventory management system (ims) implementations
  • New product launches within fresh portfolio
  • Success planning framework development
  • Customer success process evolution
  • Enablement asset creation
  • Large-scale saas deployments for tier-1 enterprise customers
  • Cloud-based deployments across aws and azure environments
  • Multi-tier saas architecture deployment patterns
  • Scalable test automation framework
  • Ai-powered test automation tool integration

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
6
Marketing
3
Product
2
Support
2

Seniority

Senior
5
Manager
3
Lead
2
Mid
2
Director
1

Notable leadership hires: Director of Delivery

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About Logile, Inc.

Logile provides workforce management, scheduling, forecasting, and labor-modeling software for retail operations. Founded in 2005 and headquartered in Texas, the company serves mid-to-large retailers with a platform spanning employee scheduling, task management, food safety compliance, and labor-cost optimization. The product runs on cloud infrastructure (AWS and Azure) and is distributed as multi-tenant SaaS. Current focus includes fresh food and inventory management implementations, large-scale enterprise deployments, and success-planning frameworks to improve customer retention and on-time delivery.

HeadquartersSouthlake, TX
Company Size201–500 employees
Founded2005
Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Logile use?

Java, Python, JavaScript, and TypeScript for core platform. ML pipelines use TensorFlow, PyTorch, and scikit-learn. Testing uses Selenium, Playwright, and Jest; CI/CD runs on GitLab and Azure DevOps. Infrastructure spans AWS, Azure, and GCP with Docker and Kubernetes for orchestration.

What is Logile working on?

Fresh food and inventory management system implementations, large-scale SaaS deployments for tier-1 enterprise customers, AI-powered test automation tool integration, and scalable test-automation frameworks. Customer success process evolution and enablement asset creation are parallel workstreams.

How this profile is built

Logile, 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.