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SAILEX Sales and operations intelligence with explainable AI The project aims to develop an AI-based analysis tool for ERP systems that combines sales data with internal and external factors. This will not only enable general sales trends to be recognised, but also individual correlations, such as discounts or external influences such as weather and political events. This helps to create more precise purchasing forecasts, avoid bottlenecks and reduce excess stock and reduce excess stock, which saves storage costs. In addition, a large language model is also used to explain the AI forecasts in order to ensure the traceability decisions, supported by explainable AI approaches. Contact persons: S. Leohold   (Project manager)Funded by: Land Bremen Duration: 15.02.2025 - 15.08.2026 See project's publications List all projects |
