Luxury fashion retailer representing global brands

Company

Helen Marlen

Industry

Fashion Retail

Country of the Company

EU

Type of Service

Consulting

Tasks

  • Build a single Master Data system
  • Data collection and aggregation
  • Data enrichment and processing
  • Develop a business intelligence system

Challenges

Working with a database containing over 150 GB of data and processing more than 10 million transactions.

Solutions

  • Built a single Master Data system
  • Implemented key functions including data collection and aggregation, as well as data enrichment and processing
  • Developed a business intelligence system for data-driven decision-making

Outcomes

  • Built a single Master Data system
  • Key functions included data collection and aggregation, as well as data enrichment and processing
  • Developed a business intelligence system for data-driven decision-making

Technologies Used

SQL

Power BI

Company

Helen Marlen

Industry

Retail

Country of the Company

EU

Type of Service

Consulting

Learn about our impact through case studies

SOTA model for high-precision product identification

Enabled automated “share-of-shelf” analysis and instant planogram tracking with minimal human error for complex retail environments.

AI-powered client engagement and personalization agent

Successfully deployed a secure and compliant AI agent that recommends content, manages schedules, and engages clients in personalized conversations via the fitness-tech platform.

AI agent for real-time price prediction and automated trading insights

Reduced manual intervention in forecasting and reporting workflows with an AI agent capable of handling real-time price predictions, executing analysis, and sending back KPI reports.

AI agent for sterility monitoring in pharmaceutical manufacturing

Enabled fast, accurate detection and escalation of non-compliant procedures, reducing human oversight burden by deploying a real-time sterility monitoring system.

AI assistant for enhanced online learning experience

Digitized and structured all course materials from PDF-documents and videos based on defined business logic, reducing time spent searching by over 70%.

Low-latency container number recognition for automatic shipping

Achieved a 70% reduction in time spent on supply chain operations with low-latency OCR optimized for edge devices. Eliminated manual entry errors with a dual-validation mechanism.