Retmes
mIQ Solutions
Konzek mIQ(manufacturing IQ) offers AI-powered solutions for businesses to optimize their production processes and make them more efficient. mIQ is equipped with customized artificial intelligence algorithms and machine learning modules. This way, it collects and analyzes production data, makes predictions, and optimizes processes.
Our mIQ(manufacturing IQ) Industrial Capabilities
mIQ Persona provides personalized plans based on the performance data of operators and maintenance personnel involved in production. By analyzing operator-based production data (performance, quality, error rate, speed) from the MES, it creates a digital profile for the employee. It highlights the profile's strengths and areas for improvement, and recommends appropriate training content. It provides real-time support like a “digital coach,” offers long-term development roadmaps, and aligns the workforce with production goals. It is a Human 4.0 solution.
mIQ Planner is an AI-powered capacity planning module that makes production planning and scheduling processes intelligent. It analyzes production orders, inventory, labor, and machine capacities in real time to generate optimal plans. Going beyond ERP/MRP tools, it offers a flexible planning experience with “What-if” scenarios, AI recommendations, and dynamic updates. It adapts instantly to changes, increases efficiency, and enables a quick response to customer demands.
mIQ Anomaly is a submodule that detects anomalies in all operational data from production to energy, flagging unplanned downtime, quality defects, and energy waste in real time; when necessary, it automates model deployment using LLM-supported data science capabilities. Through deep integration with Retmes MES/PMS/MMS data sources, it collects, cleans, and applies data; deploys the model(s) as microservices; and converts outputs into actions via an alarm/rule engine.
mIQ Insight is an analysis and reporting module that enables quick insights from production data. It allows users to obtain information in a question-and-answer format using artificial intelligence and natural language processing applied to MES data. It eliminates the need for complex BI tools and manual reporting; it generates instant reports and visualizations through natural language queries. mIQ Insight is designed to accelerate decision-making for managers and engineers.
The mIQ Project is a module that identifies improvement and investment opportunities by analyzing production data. It evaluates MES, PMS, and MMS data using artificial intelligence. The goal is to turn patterns and problems in big data into concrete projects. Projects are categorized into efficiency, quality, cost, or sustainability, and each includes a preliminary feasibility study. mIQ Project works like a digital advisor, bringing the motto “From data to project in minutes” to life.
Why Konzek mIQ
First AI-MES Experience
Konzek has become a pioneer in the industry by developing Turkey's first AI-based MES applications. mIQ combines local R&D capabilities with global standards. It makes a difference in production by offering businesses reliable, innovative, and sustainable solutions.
Offline & On-Prem Revolution
mIQ manages production seamlessly even without an internet connection. Factory data remains internal, ensuring top-level data security. A capability unmatched by competitors: fully offline operation + real-time decision support. Critical processes are unaffected by network outages; digital production continuity is guaranteed.
Smart Algorithms, Fast Solutions
Konzek's AI-powered algorithms detect potential problems in production in advance and offer solutions. This increases speed, flexibility, and quality on the lines. It provides businesses with a strong competitive advantage with solutions that set them apart from their competitors.
One Platform, All Solutions
Konzek combines MES, PMS, MMS, and mIQ solutions on a single platform, eliminating the need to switch between software. Processes are managed in an integrated, reliable, and efficient manner. It provides businesses with comprehensive control while saving time and costs.
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Uses Resources More Effectively
mIQ increases production capacity by making energy, labor, and time resources more efficient. It creates a sustainable structure by reducing costs. It supports businesses in achieving their profitability goals and permanently strengthens their competitive advantage.
Smart Choices for Sustainability
With its energy monitoring and carbon footprint calculation features, mIQ enables the management of environmental sustainability. It accelerates the green transition with ISO 50001-compliant reporting. By supporting businesses in becoming pioneers in eco-friendly production, it makes a difference in the industry.
Real-Time Learning Factory
mIQ's machine learning-based structure continuously learns from production data to improve processes. Dynamic optimization enhances factories' predictive capabilities, supports continuous improvement, and increases digital maturity. Learning models are updated even in offline environments, ensuring uninterrupted improvement.
Transforms Workforce into Competence
mIQ analyzes operator performance data and provides personalized training and development recommendations. It reinforces employees' strengths and develops their weaknesses. It makes the workforce efficient, competent, and aligned with production goals.
Costs are Visible and Manageable
With its real-time data collection and advanced analytics capabilities, mIQ makes production costs transparent. It controls losses such as energy, fire, and downtime. It offers businesses the opportunity to achieve profitability goals with confidence by delivering clear improvements.
mIQ GPT is an AI-powered module that performs tasks in natural language within production operations. By integrating a GPT-based language model into the production system, it handles question-asking, command-giving, and workflow management through speech or text. It functions like a “MES assistant” in the factory: it listens to voice commands, understands written requests, and triggers processes on the MES. It reduces the need to navigate interfaces, simplifies usage, automates repetitive tasks, and speeds up the user's workflow.
