Best Logistics Software for Linux

Hubstaff is a time tracking software that helps teams log hours, monitor productivity, and automate payments — whether remote, hybrid, in-office, or field-based. Available on desktop, web, and mobile, Hubstaff enables employees to track time against specific tasks and projects from anywhere. Managers get built-in visibility through app and URL usage data, activity rates, and optional screenshots — all configurable by user role. Designed for global, growing and distributed teams, Hubstaff includes built-in productivity monitoring and workforce analytics to help businesses analyze how time is spent, identify inefficiencies, and improve performance — without micromanagement.

Cleo Integration Cloud (CIC) award-winning EDI software that enables the best B2B integration, visibility and control. CIC accelerates EDI automation, expedites partner onboarding, and easily tackles EDI issue resolution. Bringing end-to-end integration visibility across EDI, non-EDI, and API integrations enabling you to grow your revenue-generating business processes better and faster. CIC is optimizing thousands of supply chains for logistics providers, manufacturers, and wholesalers. Encompassing seamless ERP integration, WMS integration, TMS integration and more, our cloud-based B2B integration platform transforms costly, complicated processes into truly efficient, agile, and scalable operations. Our ecosystem integration approach offers the best B2B capabilities so you can automate EDI and API transactions, rapidly onboard partners, and gain competitive control.

Sinnaps is the first intelligent project manager; easy to use, it can simplify complex projects and plan your team work automatically based on your needs. Its exclusive technology employs a powerful rendering engine based on PERT (Project Evaluation and Review Techniques) and CPM (Critical Path Method) algorithms which help optimise project management and provide guidance for the decision-making process. Featured Sinnaps services: interactive planning; risk prediction and management; resource optimisation; and expectation management.