Artificial Intelligence

Flowlity’s Intelligent algorithms combine the latest machine learning, ensemble learning, and deep learning algorithms.

Get a Demo

Thanks to AI, Magotteaux reduced its inventory value by 13% and its stock coverage by 22%, while also decreasing stockouts by 8%

Michel Klein

S&OP Manager, Magotteaux

AI for the planners

The first AI-native Supply Chain Forecasting and Planning Solution

Probabilistic forecasts
Say goodbye to single-point predictions that ignore uncertainty. Our probabilistic engine assigns a likelihood to every demand or lead-time scenario, so you can size safety stock and replenishments with confidence.
AI and constraints driven recommendations
Machine Learning plus Operations Research = truly executable plans. Flowlity respects all your real-world constraints—MOQ, batch size, full truck or container loads, Incoterms, and more—at any level of detail.
Past events detection
Continuous monitoring spikes, anomalies, or stock-outs as they happen. Outliers are corrected with synthetic resampling, delivering a clean signal and more accurate forecasts for your planners.
Similar product recommendation
Launching a new SKU? Our embedding models instantly surface look-alike items in your portfolio, generating a ready-made demand profile and taking the guesswork out of new-product forecasting.
Lead time delay forecasting
By learning from each supplier’s historical performance, Flowlity predicts delivery delays before they hit, empowering you to adjust inventory strategies and protect service levels against supply-side uncertainty.

Going from static to dynamic Supply Chain Planning

Flowlity delivers real-time forecasting and continuous planning—no more sluggish weekly or monthly cycles. Your supply chain stays in sync with live data, updating plans the moment conditions change.

Forecast
Forecast operations & cleaning
Safety stock
Planning
Workflow
Static
Point-wise & mono-signal
Largely manual
Static rules
Cycle-base
Full portfolio forecast & plan
AI Driven
Probabilistic & multi-signals
Mostly Automated
Dynamic Adaptive Buffers
Near real-time & automated
Exception/alert based
Legacy tools
Point-wise & mono-signal
Largely manual
Static rules
Cycle-base
Full portfolio forecast & plan
AI Driven
Probabilistic & multi-signals
Mostly Automated
Dynamic Adaptive Buffers
Near real-time & automated
Exception/alert based