Backend · Data · AWS
Demand Forecasting Platform
- Key result
- ~10 min → seconds
- per-product analysis
Case studies are anonymised: client names and data are omitted, and any screenshots use synthetic data.
Context and problem
My role
Decisions and discarded alternatives
Multi-tenancy and client onboarding
- What I chose
PENDIENTEcómo aíslas los datos de cada cliente y cómo funciona el registro de la conexión - Alternatives I discarded
PENDIENTEalternativas que evaluaste - Why
PENDIENTEpor qué elegiste este enfoque
Forecasting approach
- What I chose
Time-series forecasting that returns confidence intervals, not only a point estimate. PENDIENTEmodelo o librería elegida - Alternatives I discarded
PENDIENTEmodelos o enfoques descartados - Why
PENDIENTEpor qué
How the result reaches SAP
- What I chose
The platform generates purchase requisitions automatically in SAP. PENDIENTEmecanismo y validaciones - Alternatives I discarded
PENDIENTEalternativas - Why
PENDIENTEpor qué
Architecture
Results
- Per-product analysis
~10 min seconds - Purchase requisitions
Generated automatically in SAP - Adoption
Pilot with one client: 2,000+ products across 32 branches - Forecast accuracy
PENDIENTEbacktest con métrica vs. baseline
Technologies
Cloud
AWS
Integration
SAP Service Layer
Forecasting
Time-series forecasting with confidence intervals
Other
PENDIENTElenguajes, framework web, librería de forecasting, base de datos y servicios de AWS