FaaS4U

Introducing correlation analysis in FaaS4U

Introducing correlation analysis in FaaS4U

Discover FaaS4U’s new Correlation Analysis feature — a data-driven way to identify external factors influencing demand and integrate them into smarter, more accurate forecasts

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New ! Doctopus© : your AI business assistant

New ! Doctopus© : your AI business assistant

Say hello to Doctopus© : your AI conversational assistant built for decision-making. Ask questions, get insights, and make informed decisions together. Whether you’re exploring forecasts, stress-testing scenarios, or explaining stock movements, Doctopus© turns data into dialogue. It’s not just smart — it’s business-savvy.

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From numbers to action: Inventory intelligence

From numbers to action: Inventory intelligence

Forecasts are only as good as the decisions they enable. FaaS4U closes the loop by transforming forecasts into actionable inventory insights ! Our integrated Inventory Management Parameters Module dynamically calculates key metrics like: Safety Stock and Reorder Points.

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Forecasting that learns and improves with you

Forecasting that learns and improves with you

FaaS4U doesn’t just forecast — It learns ! Every forecast you run improves the next. With continuous machine learning, automated parameter tuning, and smart anomaly detection, your forecasts become more accurate over time. This means less manual work, fewer surprises, and more confidence in your numbers. AI is not just a buzzword here — It’s the engine of continuous improvement.

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Smarter forecasting, powered by Octopus*L©

Smarter forecasting, powered by Octopus*L©

Behind FaaS4U lies a powerhouse: the Octopus*L © engine ! It’s not just another algorithm — It’s a smart, evolving AI brain. Leveraging best-in-class forecasting models like NNetar, Prophet, LSTM, ARIMAX, and many others, Octopus*L © dynamically selects and tunes the right mix of experts in real time. Whether you’re forecasting demand for one SKU or thousands, across multiple locations or timeframes, Octopus*L © adapts continuously for precision and scale.

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