AIMES is an advanced business intelligence platform developed by Chanylia, designed to empower organizations with real-time insights, intelligent automation, and strategic decision-making tools. Evolving from its predecessor Lotylda, Aimes expands beyond manufacturing and logistics, offering a flexible, modular solution that brings clarity and control to every corner of your business.
Built with cutting-edge technologies such as AI and process automation, Aimes integrates seamlessly with your operations to transform raw data into actionable intelligence. Whether you’re optimizing workflows, monitoring KPIs, or forecasting trends, Aimes becomes the central nervous system of your business.
Holistic Visibility: Get a 360-degree view of business operations in real time, across departments and locations.
Smarter Decisions: Leverage AI-driven analytics to uncover trends, predict outcomes, and guide strategic actions.
Streamlined Processes: Automate routine tasks and improve efficiency with BPM (Business Process Management) and RPM (Robotic Process Management).
Scalability: Easily adapt the platform as your business grows, from a single process to enterprise-wide deployment.
User-Centric Design: Intuitive dashboards and interactive visualizations make complex data accessible to everyone.
Cost Efficiency: Identify bottlenecks, reduce waste, and improve resource utilization to boost profitability.
Data Integration: Unifies data from various sources into a single platform, making it easier to uncover hidden patterns and insights through advanced data mining.
Business Intelligence: A locally installed solution that enables data processing, analysis, and automation, with seamless integration into ERP, accounting, and production systems.
Production and Maintenance Management: Helps manage people, assets, and maintenance activities across operations, offering tools for planning, performance monitoring, downtime analysis, and predictive insights driven by real-time data.
Quality Control: Leverages AI, including machine vision and deep neural networks, to deliver advanced quality control and diagnostics by analyzing images, videos, sounds, and vibrations for precise product classification and assessment.