Ride the wave
of demand.
Nalu [nah-loo] — Hawaiian for wave.
Born from a deep connection to the Pacific, years of experience underwater, and the conviction that data follows the same patterns as the ocean: seasonality, trends, noise — waves.
Spotting the right patterns, forecasting the next wave and being ready for it — in the ocean as in the data.
Built by Maximilian Fischer
Physics & Meteorology (LMU Munich) · ML Engineering · Munich
Building data-driven systems since 2016.
MeatMind
End-to-End ML & BI Platform
Independently developed · Full-time role · Müller Fleisch GmbH
Fully bespoke platform for demand forecasting, business intelligence and operational planning in meat processing. In production at a mid-sized manufacturer with 770+ customers and 900 SKUs.
The platform processes more than 450,000 time series data points and combines ML-driven demand forecasts with classical BI — from SAP R/3 data ingestion to ready-to-act decision support for sales and procurement. Generative AI (Ollama, on-premise) powers automated report generation and a natural-language data chat. The architecture is designed for both on-premise and cloud environments.
Modules
Demand Forecasting
ML-driven demand forecasts at SKU and customer level. Models: Temporal Fusion Transformer (PyTorch), LightGBM. Cold-start handling for new SKUs via segmentation-based global models.
Production Planning
Automated planning based on forecasts. Integrates capacities, minimum lot sizes and production cycles.
Slaughter Analytics
Analysis of slaughter data to optimise purchasing and production. Links carcass weights, quality data and demand forecasts.
Procurement Forecasting
Forecast-driven purchasing for live cattle — which species, husbandry type and quantity to source, derived from demand forecasts and production capacity.
Customer Segmentation
ABC/XYZ analysis at customer and SKU level. Dynamic segmentation as the foundation for forecasting and sales steering.
SCM Module
Supply chain overview with inventory trends, supplier performance and bottleneck detection.
AI Chat
Natural-language access to platform data and analytics. LLM-driven queries on demand, customer and SKU data. Powered by Ollama (on-premise, no data leaves the server).
Automated Report Generation
LLM-generated reports based on current forecasts, segmentations and operational KPIs. Context-aware summaries instead of static templates.
Further Developments
ETL & Data Automation
Fully automated pipelines (Dagster/Airflow) for SAP R/3 data extraction, transformation and loading into the analytical data warehouse.
Internal Tools
Cattle ear-tag lookup with API integration to Qualifood — real-time queries on origin and quality data directly from the platform.
Technical Challenges
SAP R/3 Data Quality
Automated detection and correction of mis-postings, inconsistent master data and duplicate entries.
Scale
Training and serving 450,000+ time series efficiently — solved via segmentation-based global models instead of one model per SKU.
Cold-Start Problem
Forecasting new SKUs with no historical data — handled via assignment to existing segments and transfer learning.
REFERENCE
"The applications built here are now a fixed part of our daily operations."
Numbers
0
customers
0
SKUs
0
time series
0
weeks to go-live
Stack
Nalu AI
Demand Intelligence Platform — Next Generation
Independently developed
Generalisation of MeatMind into an industry-agnostic platform. Multi-tenant architecture with configuration-driven onboarding — no hard-coded industry assumptions in the core.
Each customer receives a dedicated instance, deployed via Docker Compose on their own infrastructure. No customer data leaves the server.
Übersicht
KW 18 · Mo, 8. Mai
Gesamtabsatz
€ 2.4 M
+8.2 %
Forecast-Genauigkeit
96.2 %
MAPE 7.6 %
Service Level
98.1 %
+1.4 %
Aktive Forecasts
894
12 neue
Absatz vs. Forecast · 12 Wochen
LightGBM · MAPE 7.6 %
ABC/XYZ-Matrix · 894 Artikel
automatisch klassifiziert
Dashboard with KPIs, forecast chart and ABC/XYZ matrix.
Architecture Highlights
Multi-Tenancy
Every customer is a dedicated instance with its own configuration. Onboarding through config.yaml — no code changes required.
Zero-Industry-Assumptions
Core code carries no industry logic. Column names, modules and features are fully configuration-driven.
On-Premise or Cloud
Docker Compose on own infrastructure or cloud deployment. Flexible per requirement — no vendor lock-in, full control over data and operations.
ARTIKEL
Nordpils Premium 20×0,5L
BIE-001 · 8-Wochen Forecast
Absatz-Forecast · KW 38 – KW 46
312
P10 · pessimistisch
387
P50 · erwartet
463
P90 · optimistisch
⚡ Empfohlene Bestellung: KW 41 · Menge: ~1.550 Einheiten
SKU forecast with P10/P50/P90 intervals and model metrics.
Reorder Alerts
heute · 14:32
Salami Mailand 80g
4711-Salami
54
238
2 T
kritischCola Classic 1L
6812-Cola
112
420
3 T
kritischIPA Craft Series 0.33L
9023-IPA
287
360
6 T
WarnungBio Müsli 500g
3401-Müsli
198
240
8 T
WarnungTomaten passiert 400g
7765-Tomaten
642
580
14 T
auf SollReorder alerts with severity classification and push notifications.
KUNDEN-INTELLIGENZ
Wer kauft wann — und was.
Kaufbereit (30T)
143
Erw. Umsatz
€184k
Churn-Risiko
12
REWE Group
KD-001 · Champion
92%
KW 20
Edeka Südbayern
KD-002 · Loyal
78%
KW 21
Gastro Service Nord
KD-047 · At Risk
34%
—
Metzgerei Huber
KD-089 · Loyal
61%
KW 22
Customer intelligence with purchase probability and churn risk.
Stack
E.ON
Data Quality & Risk Engineering
Independently developed · Full-time role
End-to-end quality assurance of calculated price data — fully automated in Python. Validation of regulatory price adjustments and procurement costs in energy trading.
Analytical framework for risk assessment (Initial Margin) in commodity portfolio management.
Stack
Dive Operations Platform
Full-Stack Web App
Independently developed · 2 years · Hawaii · PADI Dive Master
Full digitisation of a dive shop on Hawaii during a sabbatical. All operational processes — bookings, customer management, daily planning, certification tracking — migrated from paper and whiteboard to a single web application.
Before
Paper sheets, whiteboards, Excel, manual coordination
After
One app for bookings, CRM, daily planning and certifications
STACK
ML & Data Science
Generative AI
Backend & APIs
Orchestration
Data & Storage
Frontend
Infrastructure
Cloud
Integration