WHY NALU AI
Why Nalu AI — and not the next dashboard.
Power BI, SAP, Fabric & co. are strong at what they were built for. Nalu AI doesn't compete with everything — it closes a specific gap: ready-made, industry-specific demand control that actually goes live in mid-market operations.
IN COMPARISON
Where Nalu AI makes the difference.
No tool does everything. The table shows what the common alternatives are built for — and where Nalu AI fits in.
| Nalu AI | Power BI / Tableau | SAP IBP / APO | MS Fabric | Forecasting SaaS | Excel / manual | |
|---|---|---|---|---|---|---|
| ML demand forecasting — ready-made, not a kit | ||||||
| Purchasing & production control (end-to-end) | ||||||
| On-premise — data stays in-house | ||||||
| Industry-specific (config-driven) | ||||||
| Generative AI & insights (local possible) | ||||||
| Live in weeks | ||||||
| Mid-market-ready (cost & operations) |
An assessment from a project perspective — the alternatives are excellent in their core area. Nalu AI often fills exactly what's missing in between.
WHY US
Four reasons that make the difference.
Ready-made, not a kit
No in-house data team needed: forecast, control and reports run out of the box — configured to your operation, not as an empty platform.
End-to-end, not a silo
From sales forecast to purchasing and production in one system — no patchwork of BI, planning tool and Excel.
On-premise, no cloud lock-in
Runs on your infrastructure. No shared data, no vendor lock-in — LLM either local or cloud.
Mid-market pace, not an enterprise project
Live in weeks, not years. Predictable and maintainable — without a six-month consulting engagement.
Nalu AI doesn't replace a BI dashboard or an ERP — it sits in between and turns your data into decisions. Often it complements exactly what you already have.