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Find the right AI use case for your industry and your company.
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The possibilities of artificial intelligence are manifold. Whether it's increasing efficiency, automation or data-driven decisions - together we can implement the perfect use case for your specific company.
Every company is unique - and so are its challenges. At CorpIn, we focus on customized AI solutions that are a perfect fit for you. Find the right inspiration for your industry here.
Challenges
Areas of application
Initial analysis of the system infrastructure
CorpIn carries out an in-depth analysis of the data and system infrastructure to identify data gaps and weak points. This involves checking production data, supply chain data and machine data. This analysis forms the basis for optimizing the entire production process and ensures efficient use of data. Companies benefit from an improved overview of their production processes, which creates the basis for further AI-supported improvements and minimizes unplanned downtime.
Predictive maintenance
CorpIn implements AI-based predictive maintenance solutions that continuously monitor machine data. Using this data, AI can predict when machines need to be serviced before unplanned downtime occurs. This allows companies to optimize their maintenance schedules, reduce costs and maximize machine uptime, resulting in higher productivity.
Production optimization
CorpIn uses real-time analyses of the production lines to identify potential bottlenecks and inefficiencies. The AI continuously monitors the production process and makes recommendations to optimize the use of resources. This enables companies to maximize their production capacity, reduce material consumption and shorten lead times, which increases overall efficiency.
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Challenges
Areas of application
Initial analysis of the system infrastructure
CorpIn analyzes the existing data structure and IT systems to identify weaknesses and potential for improvement. This involves examining production data, clinical trial data and regulatory information. This analysis lays the foundation for all further AI-supported optimizations, giving companies a consistent database. This makes it easier to meet compliance requirements and creates a basis for more efficient operating processes.
Automated analysis
CorpIn implements AI solutions that analyze large amounts of study data quickly and efficiently. This reduces the time and manual effort normally spent on analyzing clinical trials. Through automation, companies can react faster and more precisely to study results while improving the accuracy of data analysis.
Real-time production monitoring
CorpIn offers real-time monitoring systems that continuously analyze the production process. These systems monitor the quality of products and ensure that all regulatory requirements are met. Companies benefit from reduced quality problems and improved production performance, as potential deviations can be detected and rectified immediately.
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Challenges
Areas of application
Initial analysis of the system infrastructure
CorpIn conducts an in-depth analysis of the existing financial data infrastructure to identify bottlenecks and weaknesses in data processing. This includes examining credit and insurance data as well as customer data. This initial analysis forms the basis for the successful implementation of all further AI-supported use cases. By optimizing the data structure, companies obtain a consistent database that enables them to make more precise and faster decisions, whether in risk assessment or fraud prevention.
Automated risk assessment
CorpIn implements AI-supported solutions for assessing credit and insurance risks. The AI analyzes historical and current financial data to make accurate risk assessments. This significantly reduces the manual effort involved in risk analysis and enables companies to make faster and more accurate assessments, leading to better credit and insurance decisions.
Fraud detection
CorpIn develops and implements AI solutions for real-time monitoring of financial transactions. The AI recognizes conspicuous patterns or anomalies that could indicate fraudulent activity and immediately notifies the relevant team. These preventive measures help companies to detect fraud attempts in good time and prevent damage, thereby strengthening financial security and customer confidence.
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Challenges
Areas of application
Initial analysis of the system infrastructure
CorpIn conducts a thorough analysis of existing data and IT infrastructure to evaluate the performance of CRM, sales and inventory management systems. This initial analysis identifies weaknesses and shows how data structures can be improved to enable more efficient marketing and inventory strategies. Companies benefit from a consistent and cleansed database that makes it possible to implement tailored AI solutions and thereby optimize marketing and sales processes.
Personalized campaigns
CorpIn develops AI-supported marketing campaigns that use customer data to precisely address target groups. The AI analyzes customer behavior and preferences and creates customized campaigns that are tailored to the individual needs and preferences of customers. This maximizes the efficiency of marketing budgets, boosts conversion rates and increases customer loyalty as customers receive more relevant content.
Inventory optimization
CorpIn implements automated inventory analytics that use current and historical sales data to make predictions about future demand. These AI solutions help companies optimize their inventory levels by minimizing overstocking while ensuring that there are always enough products in stock. This reduces storage costs and increases efficiency in inventory management.
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Challenges
Areas of application
Initial analysis of the data infrastructure
CorpIn conducts a comprehensive analysis of the energy infrastructure to identify untapped potential for increasing efficiency and reducing energy consumption. This includes the examination of network management systems, energy consumption data and resource utilization. The results of this initial analysis provide companies with a clear picture of their energy efficiency and create the basis for implementing further AI solutions aimed at sustainable optimization.
Energy consumption optimization
CorpIn uses AI to continuously monitor and optimize energy consumption in supply networks. These AI-powered systems analyze current and historical energy consumption and identify areas where savings can be made. This helps companies to reduce energy consumption, increase efficiency and reduce costs without compromising the quality of supply.
Sustainability analyses
CorpIn offers AI-based solutions for analyzing and optimizing the environmental footprint of companies. The AI helps to reduce CO2 emissions by identifying sustainable alternatives and optimizing energy consumption. Companies benefit from an improved environmental footprint that not only complies with legal requirements, but also strengthens their image as a sustainable company.
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Challenges
Areas of application
Initial analysis of the data infrastructure
CorpIn conducts a comprehensive assessment of the existing IT infrastructure to identify bottlenecks, security gaps and optimization opportunities. This initial analysis provides companies with a clear overview of their IT landscape, including network systems, databases and security protocols. Based on this analysis, recommendations for action are made to improve data processing, IT efficiency and security measures in order to create a robust foundation for the implementation of modern IT solutions.
Automated IT processes
CorpIn implements AI-powered automation solutions that optimize IT and network processes. Automation allows day-to-day tasks such as network monitoring, system updates and security checks to be handled efficiently without human intervention. This not only reduces errors, but also increases operational efficiency as IT staff can focus on more strategic tasks.
Data analysis in real time
CorpIn offers solutions for analyzing large amounts of data in real time, enabling companies to make informed business decisions. By processing and analyzing real-time data from various sources, companies can identify trends at an early stage, adapt their systems to changing requirements and exploit competitive advantages. This leads to better responsiveness and faster decision-making processes.
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Challenges
Areas of application
Initial analysis of the data infrastructure
CorpIn conducts a comprehensive analysis of existing IT systems and data processes to identify weaknesses and areas for improvement. This analysis aims to optimize the digital infrastructure to ensure more efficient construction processes, better management and adherence to schedules. The results of the analysis provide companies with the necessary basis to implement future construction and real estate projects with improved data processes and increase efficiency in all areas.
Automated construction planning
CorpIn uses AI-based solutions that automate and optimize construction planning. These systems analyze various factors such as material availability, labor times and project requirements to use resources more efficiently and shorten construction times. This enables construction companies to complete projects faster and reduce costs without compromising quality.
Building monitoring
CorpIn offers AI-based solutions for the continuous monitoring and maintenance of buildings. These systems detect potential maintenance problems at an early stage and help to prevent expensive breakdowns. This leads to a reduction in maintenance costs and a longer service life for buildings, while at the same time increasing operational efficiency.
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Challenges
Areas of application
Initial analysis of the data infrastructure
CorpIn conducts a comprehensive analysis of agricultural and food production systems to identify data gaps, inefficient processes and optimization potential. This initial analysis enables companies to make their production data, resource consumption and supply chains more transparent and optimize them. The result of this analysis forms the basis for further AI-supported solutions that increase efficiency and promote sustainability.
Production
CorpIn uses AI-based solutions to optimize agricultural and food production processes. The AI analyses the use of resources and makes recommendations to reduce water, energy and fertilizer consumption while maximizing crop yields. This leads to sustainable and more efficient production, which reduces both costs and environmental impact.
Quality management
Quality management in food production: CorpIn implements AI-supported quality control systems that monitor the entire production process. These systems analyze production data in real time to ensure that all safety and quality standards are met. Companies benefit from improved product quality and a reduced risk of product recalls or rejects, which lowers overall costs and increases consumer confidence.
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Challenges
Areas of application
Initial analysis of the data infrastructure
CorpIn conducts a comprehensive analysis of the existing data and IT infrastructure in the public sector and non-profit organizations. Data flows, administrative processes and system integrations are examined to identify efficiency potential and savings opportunities. This initial analysis provides a solid basis for enabling the use of AI-based optimizations and increasing operational efficiency. Public administrations and non-profit organizations benefit from optimized processes and better use of their resources.
Process automation
CorpIn implements AI-supported automation solutions that make administrative and approval processes more efficient. Typical administrative tasks such as application processing, document management and approval processes are automated by AI, which significantly reduces the time and resources required. This speeds up processing times and frees up employees to concentrate on more important strategic tasks.
Data management & transparency
CorpIn develops AI-based data management systems that analyze and process large volumes of public data. These automated data analyses improve decision-making by providing sound insights into operational and financial processes. At the same time, transparency is increased as relevant data is made more quickly and easily accessible. This is particularly important in the public sector, where transparency and accountability play an important role.
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