Demand Forecasting & Planning
AI forecasting that predicts what you'll actually need.
30 minutes. You leave with a written plan, whether or not you hire us.
The Problem
8% — of stock lost to waste.
of stock lost to waste
8%
+70% — higher recall cost without it.
higher recall cost without it
+70%
4 hrs — response window before win rate drops.
response window before win rate drops
4 hrs
of stock lost to waste
8%
Included
Demand Model Build
Trained on your real sales history.
Inventory Optimization
Stock levels matched to actual demand.
Seasonal Planning
Swings anticipated, not reacted to.
Procurement Alerts
Reorder signals before you run out.
Tech Stack
Python
Node.js
GraphQLVs. Alternatives
Manual Spreadsheets Reports compiled by hand, always at least a day behind reality. | Enterprise BI (Tableau, SAP Analytics) Priced and built for large enterprise data teams, not a single plant. | Cluxn RecommendedPurpose-built dashboards and models connected directly to your real data. | |
|---|---|---|---|
| Built for your operation | |||
| Support after go-live | |||
| Fixed, predictable timeline | |||
| No lock-in — you keep ownership |
Process
01
Weeks 1–2
02
Weeks 3–6
03
Weeks 7–9
04
Week 10
Questions
Ideally 12–24 months, though shorter histories can still produce a usable baseline model that improves over time.
Next step
We will show you the first fix and what it costs. No pitch.
30 minutes. You leave with a written plan, whether or not you hire us.
We listen
You tell us where time or money leaks. 30 minutes, your words.
We map it
We show which fix comes first and what it should cost.
You get a plan
A written plan in 48 hours. Keep it, even if you never hire us.
