IoT solutions enable companies to automate processes and reduce labor costs. It also reduces waste and improves service delivery, makes the production and distribution of goods less expensive, and offers transparency in customer transactions. The Internet of Things provides various benefits to organizations. Some benefits are industry specific and some apply to multiple industries. Some of the common benefits of IoT solutions are what we offer businesses AS IOT SOLUTIONS: Monitoring general business processes; Improving the customer experience; Saving time and money; Increasing employee productivity; Integrating and adapting business models; make better business decisions; Get more income. IoT solutions encourage companies to rethink the way they approach their business and provide them with tools to improve their business strategy. Some of the benefits of IoT are: The ability to access information from any place, at any time, from any device; Enhanced communication between connected electronic devices; Transferring data packets over a connected network saves time and money; Automating tasks that help improve the quality of a business's services and reduce the need for human intervention. USES: It is even used in heavy industries applications such as factories, manufacturing and mining, aerospace, oil and gas, defense, power and electricity and energy. So, de facto, it is also used in cross-industry industries such as agriculture, connected logistics, finance, government sector (including smart cities), healthcare (hospitals) and smart buildings in the context of facilities management. Depending on the views and industries understood in the context of the Internet of Things, this leads to fewer or more IoT solutions use cases. Below are a few typical IoT solutions use cases and business contexts: Smart factory applications and smart storage. Predictive and remote maintenance. Goods and transportation tracking. Connected logistics. Smart metering and smart grid. Smart environmental solutions. Smart city applications. Smart agriculture and livestock monitoring. industrial security systems Energy consumption optimization Industrial heating, ventilation and air conditioning Monitoring of production equipment. Asset tracking and smart logistics. Ozone, gas and temperature monitoring in industrial environments. Monitoring of workers' safety and health (conditions). Asset performance management Remote service, field service, remote maintenance and control use cases.

Big data; It is the data that is analyzed, classified, transformed into a meaningful and processable form. ANSWER TO THE QUESTION HOW IT WORKS; Many data points are compared, the relationships between the data are revealed, and these relationships enable us to learn and make smarter decisions. This is commonly done with a process involving building models based on the collected data, and then simulations are run. Each time the data points are relocated, it is monitored how the results are affected. Big Data Solutions & Big Data Analysis and Processing: Big Data Creation Big Data Analysis and Reporting, Competitor Analysis, Regional Analysis (Product-Price-Target Market), Digital Data Production and Public Sharing Today has become a common human habit. (Twitter, Facebook, Instagram, Pinterest etc.) Instant understanding of the data emerging at this stage provides organizations with mobility and competitive advantage, Instant Price Analysis and Tracking of Change Indices, Product Return Price Estimation, Real-Time Query and Reporting, Follow-up of Old Customers and being able to communicate, with different criteria specific to Marketing and Purchasing teams. Supporting price determination, Sales, Rental, Market Demand data, Monitoring sectoral effects by including external factors, Statistical Tracking and Price Deviation Simulations

It provides reporting, controlling and real-time monitoring of PLC data and energy usage of factories. It collects the data necessary for factories to switch to the Production Execution System. In this way, while controlling the production lines, Big Data required for analysis and management stages is created. It can be managed via a standard web browser so that it can be accessed from all platforms. It allows single-center monitoring of these systems and making emergency plans. Package Included Sensor and Control Systems It provides automatic production controls by collecting data from peripheral units such as Kiosk, HMI, PLC and sensor in the production lines.
Historical Data Storage Services
It enables the data to be controlled at the desired time, as desired, to be recorded and reported securely.
Energy Management (Optional)
It takes energy consumption, which is one of the biggest expense items, under control.
User Management
It provides unlimited group and user-based authorization support.
Rule & Notification Management
Thanks to the Rule Management System, unlimited rules are defined according to the data collected from production and e-mail, sms, siren or application notifications are created.
Real Time Monitoring
Thanks to the Rule Management System, unlimited rules are defined according to the data collected from production and e-mail, sms, siren or application notifications are created.
Reporting Services
It provides needs-oriented, flexible and customizable reports.
Data analysis
It enables the analysis of the collected data and the relationship between the data.
Data Collection Services
It offers data collection and control services compatible with the world's leading PLC brands.
Web Applications
It can be accessed on all platforms based on Windows, Linux, MacOS and Android.
Rest API
SRTS's Rest APIs provide flexible, simple and fast communication over HTTP protocol.
Integration Services (Optional)
The integration module has been developed in accordance with the integration technologies of the world's leading ERP systems (SAP, Oracle, Microsoft etc.).

It has the management and control modules that the Dark Factory model, termed with Industry 4.0, may need. With its Machine Learning module, which is based on customized artificial intelligence algorithms and the closest prediction principle, SRTS is separated from other solution packages. Millions of data collected with a sensor, PLC or HMI are transferred to the system and form Big Data. Analyzes and predictions are made with customized Artificial Intelligence Algorithms. These analyzes are recorded and learned. This learned data is used for the next forecasting and analysis. Retmes mIQ automatically customizes modules in the production execution system such as planning, work order management, predictive maintenance, rule & notification management and recipe management. Package Included Sensor and Control Systems It provides automatic production controls by collecting data from peripheral units such as Kiosk, HMI, PLC and sensor in the production lines. Data Collection Services It offers data collection and control services compatible with the world's leading PLC brands. Historical Data Storage Services It enables the data to be controlled at the desired time, as desired, to be recorded and reported securely. Equipment Management and OEE It automatically measures and records production efficiency on the basis of equipment and operator. Energy Management It takes energy consumption, which is one of the biggest expense items, under control. User Management It provides unlimited group and user-based authorization support. Prescription Management According to the defined rules, it prepares the most suitable recipe for the new production method. Quality management The continuity of product quality is ensured. It minimizes errors for the product or service produced. Statistical Process Control It enables the data collected from production to be analyzed with statistical process control algorithms. Process Analysis Millions of collected production data are analyzed with customized artificial intelligence algorithms. Process Optimization Data from machine learning is used for process optimization. Machine Learning Using the data of millions of productions collected, the closest prediction is made with customized artificial intelligence algorithms. Task Management It enables task assignment and task tracking on a user or group basis. Maintenance and Service Management It provides the management of equipment malfunctions, maintenance and part replacements. Real Time Monitoring Millions of recorded production data are displayed as graphics or tables in seconds, thanks to Retmes' unique algorithms. Reporting Services It provides needs-oriented, flexible and customizable reports. Data analysis It enables the analysis of the collected data and the relationship between the data. Work Order Management It enables the inspection, optimization and regulation of work orders coming from the ERP system. Work Order Planning It ensures optimum planning of work orders according to the production plan. Rule & Notification Management Thanks to the Rule Management System, unlimited rules are defined according to the data collected from production and e-mail, sms, siren or application notifications are created.