Selbstgesteuertes Projekt
Supply Chain Optimization with SAP Business AI
Business AI Associate · KI / ML · September 2026
Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis
Built a focused supply-chain rescue concept for a fictional Mittelstand manufacturer: diagnosed the true single-source bottleneck, scoped a Joule-style copilot that reads live supplier-health and inventory signals, and defined a human-approved next action rather than an autonomous replacement decision. Backed the proposal with honest ROI math and a board-ready pilot ask tied to a measurable reduction in detection-to-mitigation time.
Bewertet nach
- Problem framing & business sense30%
- Business-AI solution design & guardrails30%
- ROI and decision quality25%
- Executive communication15%
Bestanden · Bestehensgrenze 60/100
Was herausstach6
- Identified the real bottleneck as the single-sourced critical component with ~2 weeks of cover, not the distracting port delay
- Specified live SAP inputs and a concrete next action: raise a PO with the qualified backup supplier before cover drops below lead time
- Sized savings honestly from the given levers: 3 days recovered plus €60,000 expedite avoided for €174,000 total
- Delivered a bounded pilot ask with a clear success metric: cut detection-to-mitigation to under 1 day
- Leakage-Free Problem Framing
- Human-in-the-Loop Copilot Design
Meine eingereichte Arbeit16 Aufgaben
8 Aufgaben · 7.1k Zeichen · 8 Textantworten · 825 Wörter
- Problem Statement940 Zeichen
- Copilot Spec869 Zeichen
- Guardrails Sort1.7k Zeichen
- ROI Payback601 Zeichen
- India Transfer613 Zeichen
- Board Pitch1.5k Zeichen
- Teach Back681 Zeichen
- SAP Brand Sentiment Post188 Zeichen
- Problem Statement131 Wörter
- Copilot Spec123 Wörter
- Guardrails Sort128 Wörter
- ROI Payback63 Wörter
- India Transfer72 Wörter
- Board Pitch181 Wörter
- Teach Back106 Wörter
- SAP Brand Sentiment Post21 Wörter
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