€2.7 million saved every year with SAP HANA and machine learning
Challenge: managing complex workloads on manual, legacy processes. Solution: a native SAP HANA workload-management solution with a Fiori frontend, plus a machine learning classification engine (Python, scikit-learn) integrated into HANA.
Operating costs cut by €2.7M per year; the ML engine correctly classifies about 1 million items a day, every day.
SAP HANA Innovation 2016 — Honorable Mention