Data-driven solutions: The key to success
We accompany our customers on their path to sustainable success and develop tailor-made solutions for their individual requirements. Find out how we use data-driven approaches to create measurable benefits for your company.
Using data to drive value
In an ever more complex and dynamic world where millions of data points are generated every day, the use of data for specific purposes is proving to be a decisive factor for success. Data-based solutions give companies the power to make better, faster, and more informed decisions. Whether it’s managing business processes more efficiently, identifying risks early on, making targeted use of opportunities, or strengthening competitiveness in the long term – data creates transparency and forms the basis for efficient processes. Data-driven solutions help companies take more targeted action and achieve lasting success. Three selected use cases illustrate exactly how this works and highlight where data creates real value in day-to-day work, streamlining and optimizing processes.
Improving price and product management at a leading company in the automotive aftermarket
How can a global manufacturer set competitive prices in a highly complex aftermarket with complex data structures, identify market trends early on, and achieve profitable growth based on data?
A global manufacturer is challenged with the task of sustainably optimizing its pricing and product strategies in the dynamic aftermarket. A comprehensive overview and in-depth understanding of developments in this increasingly complex market are essential to ensure a quick and targeted response to market changes. Due to a multitude of data sources and the complexity of information, it is becoming increasingly difficult to develop offers that are both competitive and profitable.
The Market Data Engine (MDE) provides decision-makers responsible for pricing and product management with a central platform that combines comprehensive market information and advanced analytics. Key benefits:
- All-in-one solution: As one of the world‘s largest spare parts databases, MDE offers central access to up-to-date aftermarket data in a structured and user-friendly format.
- Targeted analytics: Market trends and price developments can be identified and evaluated quickly and accurately for individual parts or entire product groups.
- Optimized processes: Data-driven decisions enable more effective price and product management and strengthen competitiveness in the long term.
Thanks to the Market Data Engine, the manufacturer was able to gain a comprehensive overview of the global aftermarket for the first time. This new transparency directly translates into measurable success:
- Market-driven pricing sustainably increases the competitiveness of the spare parts offering.
- Faster response times to market changes enable proactive management of the resulting opportunities and risks.
- Thanks to well-founded, data-driven decisions, sustainable sales growth was achieved in the aftermarket segment.
This enabled the company to set the course for a strong market position for the future.
Improving an insurer‘s loss ratio through AI-powered document check automation
How can an insurance company achieve a high level of automation for frequently recurring business processes in claims management and thereby improve its resilience to skills shortages and peak periods?
An insurance company is required to streamline its claims process and reduce the workload of its employees through automation. While extreme weather events are increasing the number of claims, the insurer lacks qualified staff to process these claims in a timely and accurate manner. This not only leads to overworked employees, but also to delayed and incomplete claims processing.
With Claims Prediction, all incoming claims documents are automatically pre-checked using AI. Key benefits:
- Identification of review requirements: Claims Prediction determines the probability that a case is correct and can be processed automatically.
- Individual configuration: A confidence threshold is used to adjust the proportion of automated processing and error rates.
- Quality assurance: Eucon experts carry out random checks and ensure the quality of the AI assessment.
By using AI-based claims assessment, the insurer can make targeted and efficient use of its resources and realize cost savings by assessing all claims, even during peak periods when claims volumes are high.
- Reduced claims processing costs and lower workload for employees thanks to automation.
- Realization of savings potential, particularly in lower document volume categories.
- Significant increase in the black-box processing rate
Seamless ESG integration for a large asset manager in real estate
How can a leading asset manager in the real estate sector efficiently implement ESG requirements by automatically collecting and structuring hard-to-access consumption data and seamlessly integrating it into an ESG tool—without any additional manual effort?
The climate and energy crisis and the introduction of European reporting obligations have posed major challenges for the real estate industry. Consumption data and information on carbon emissions must be provided for every building. One of the leading asset managers in the real estate sector that already uses Eucon’s invoice management tool is faced with the task of recording this additional data in an ESG tool. The data, which is often difficult to access, requires time-consuming manual data entry.
SmartSustain starts at the beginning of the reporting chain, with data collection, and paves the way for optimized processes. Key benefits:
- High data quality: All relevant data is extracted and structured using OCR scanning and Eucon’s classification algorithm.
- Data transparency almost in real time: The extracted information is fed directly and almost in real time into the ESG tool via an interface.
- Simple integration thanks to modularity: With the additional classification logic from SmartSustain, existing processes have been expanded to extract consumption data in addition to data for invoice management.
The use of Smart Sustain creates a solid data basis that meets the requirements of ESG reporting and sustainably leverages key potential:
- The automated extraction of consumption data has replaced the resource-intensive process of manual data collection. This has accelerated the data collection process by 80%.
- The use of OCR scanning and advanced classification algorithms has significantly improved data transparency and quality.
- The transfer of extracted data to the ESG tool almost in real time increases the efficiency of implementing ESG measures in the long term.
Get in touch today!
Do you have similar or completely different challenges to overcome? No matter what, we’re here to help.
Together, we’ll find the perfect solution for you.