Warehouse Management System Experts in Munich

Functional design and specification of key SAP GTS processes, including

• Compliance,
• EU Preference Management and
• Reporting. Translate business requirements into specifications ready for implementation by third-party development teams.

• Support of BASF units in change management for the introduction of a Sales & Operations Planning process based on OMP SOP

• Developed plan for German factories, introduced standard work and process optimization

• Improved on-time in-full (OTIF) performance from 60% to 98%

• Increased EBIT by 4%

• Analyzed status quo and developed future strategy with group management and PE investor

• Prepared French social plan, budget and timing

• Negotiated with unions and managed local & national politicians to obtain plan approval three months after announcement

• Ensured no strike actions and executed priority customer production orders during shutdown in record time with perfect quality

• Communicated successfully with customers, suppliers, stakeholders and government officials

• Executed production transfers to other sites and/or profitable sale to third parties

• Established new sales & service organization in France

• Sold existing French site within three months at 20% above market price and moved remaining business to a new location

• Architected an agentic, real-time offer orchestration engine where specialized agents (retrieval, pricing/optimization, and policy/guardrails) coordinate to personalise promotions across customer touchpoints using RAG with FAISS over Delta Lake and low-latency Databricks Model Serving. Collaborated with product managers and commercial stakeholders to shape the roadmap and evaluate emerging agent patterns for production.

• Designed an agent-based data quality service that orchestrates schema detection, entity normalization, and validator/exception-handling agents to clean multi-retailer SKU feeds at scale. Wrapped model calls in PySpark UDFs for distributed inference, automated via Databricks Workflows and CI/CD.

• Developed a multimodal, agentic extraction pipeline where vision, parsing, and compliance agents collaborate to derive brand, packaging, and volume from scanned images using Claude 3 Sonnet with Swin Transformer encoders. Orchestrated via Azure Event Hub with outputs persisted to Delta Lake.

• Implemented a GS1 taxonomy classification service built around cooperating agents for inference, drift monitoring, and auto-retraining governance using Falcon 180B (LoRA-tuned) with a batch pipeline on Databricks.

• Created a hybrid agent workflow where a retrieval agent surfaces candidate matches via embeddings and a reasoning/verification agent (Mixtral 8x7B) adjudicates receipt-to-SKU alignment, integrated into a streaming Databricks pipeline.

• Built a multimodal attribute inference pipeline structured as cooperating vision-language, rules/consistency, and compliance agents to fill NutriScore, nutrition fields, and packaging types from names and images using LLaMA 3-8B with CLIP embeddings.

• Developed a GenAI-powered orchestration system that ingests recipes from multiple websites, parses ingredients through structured extraction agents, and dynamically links them to real-time retailer offers via tagging, semantic reasoning, and business-rule agents.

• Planning and coordinating pickup and delivery routes while considering and continuously optimizing quality and costs
• Ensuring compliance with legal regulations for the vehicle fleet in use
• Qualifying, assigning and coordinating drivers and contractors in accordance with the quality management manual
• Organizing and monitoring special trips

• Application support for the e-commerce presence of the Netto Online Supermarket chain [link]
• Webshop runs with PIM, ERP and Diva software - Microsoft Dynamics Business Central
• ITIL incident, change and problem management
• Diva components include ERP, CRM, OMS, WMS and POS
• Receiving, handling and, if needed, forwarding user requests
• Error analysis and support with problem solving
• Monitoring/orchestration of the individual systems
• Day-to-day collaboration with external service providers and development team
• User management and second-level support activities
• System logging/maintenance of external interfaces
• Application administration with Jira and Confluence in QA and production environments
• Technology: Windows Server 2008, Linux servers, MS SQL Server