Data Lake Services
Automated and standardized Data Preparation for Your Business
Our Data Lake Services help you integrate large volumes of data from diverse sources in a structured, efficient, and error-free manner - providing a solid foundation for data-driven decisions and AI-powered analytics.
Benefits
Maximize your revenue and increase demand through intelligent, dynamic pricing strategies.
Increase the efficiency of your SCM processes and reduce costs through better automation.
Increase customer loyalty and maximize the potential of your customer base through personalization.
Showcases
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Dynamic Pricing for Tour Operator
Company- Travel, Tour Operator
- 10K employees
- Central Germany
- Offices in 16 European countries
- €2B annual turnover
Solution- Integrated data from 20 data sources
- Built a scalable data lake in AWS
- Deployed automated revenue Management
Results- 13-17M daily price adjustments across 200 destinations
- 100 GB daily growth of the data lake
- 5-10% revenue uplift, varying by Destination
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Customer Retention for Vegan Food Retail
Company- Vegan & Organic Food Retail
- 100-200 employees
- 180K customers
- Germany, Bavaria
- €15M annual turnover
Solution- Collected data from CRM, ERP and DWH
- Developed a scalable data lake
- Deployed AI-driven customer segmentation
Results- Identified 10K high-risk churn customers
- 2.8K churned customers reactivated; 34K received personalized recommendations
- 23% AOV increase for targeted Segments
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Sensor-based retail analytics for Furniture discounter
Company- Furniture retail discounter
- 7K employees
- 130+ stores
- Germany and Europe
- €1.6B+ annual turnover in EU
Solution- Designed a scalable target data architecture
- Integrated data from 3 key sensor types
- Built a scalable AWS data lake for real-time
Results- Integrated 25 stores and 65 in-store cameras
- 2 GB daily growth of the data lake
- Dashboard actively used by 30+ decision-makers
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Data Lake for Medical and Healthcare company
Company- Medical and healthcare products
- 100 employees
- 750+ partners
- Germany
- €50M+ annual revenue
Solution- Designed a future-ready data architecture
- Integrated data from ERP, CRM and Excel
- Implemented a scalable data lake in Azure
Results- Integrated 10 key sources
- Automated SCM flows from 20+ Excels
- Deployed monitoring dashboard for 30+ decision-makers
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Data & AI Strategy for Food/Catering Company
Company- Food Service & Catering
- 8.5K employees
- 600 B2B customers
- Germany, Headquartered in France
- €2.2B+ annual turnover in EU
Solution- Organised 20 workshops with 5 departments
- Defined IT and functional requirements
- Designed a scalable target data architecture
Results- Identified and prioritized 23 top use cases
- Developed a scalable data lake architecture on Azure with Low-Code capabilities
- Deployed 2 MVPs for key data use cases
HOW IT WORKS
Workflow
-.-- €
10,000 - 20,000€ (Fixed price)
25,000 - 55,000€ (Time & Material)
Request presentation
Please feel free to contact us. We will hold a presentation and show the solution at a convenient time for you.
Send us a letter to the
info@adeal-systems.com
Give us a phone call
+49 (0)6102 574 386 0
RaaS
Recommendations as a Service
Our project "AI Services for German SMEs" was funded under the Distr@l program of the state of Hesse: Validierungs-/Wachstumsförderung
Many small and medium-sized enterprises (SMEs) lack the resources and know-how for an automated analysis of their customers' behavior. However, the results of this analysis form the basis for good digital marketing and sales.
Our AI service RaaS solves this issue for SMEs. This pre-built AI service is intended for business users and is thus very different from common technical AI platforms and frameworks. The design of this service is based on an integration of multiple machine learning approaches such as customer segmentation, transaction clustering, statistical consumption analysis and recommendation engines.
The use of our recommendation service provides significant benefits for SMEs such as increasing customer loyalty, increasing marketing team productivity and improving customer service quality. The primary application group is German SMEs from the retail and e-commerce sectors.