Industries
The Attensus Engine adapts to the operational patterns of your industry — holiday effects, weather dependencies, regulatory cycles, and seasonal shifts. The same forecasting core, trained on your domain.
Shift planning, peak management, and multi-client complexity across warehouse networks. Attensus learns holiday asymmetry, post-peak depressions, and WMS-specific data formats to deliver sub-4% MAPE on staffing forecasts.
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3.2% MAPE achieved across 6 warehouses
Learn moreDemand-driven workforce planning for distribution centers, retail chains, and omnichannel fulfillment. Capture promotional lift, seasonal patterns, and store-level variation without manual model tuning. Forecast from POS data, WMS exports, or ERP feeds.
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Available now — pilot slots open
Join pilot waitlistWeather-dependent demand forecasting with continuous external regressors. The engine learns non-linear relationships between temperature, wind, precipitation and consumption — independently per region, with regional holiday calendar support.
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Coming soon
Join pilot waitlistResource allocation, staffing requirements, and capacity planning for municipalities and government service organizations. Regulatory-compliant deployment with on-premise and air-gapped options.
Key metrics
Coming soon
Join pilot waitlistPlatform capabilities
Industry-specific intelligence is layered on top of a common forecasting core. Every deployment includes the same model library, ensemble optimization, anomaly detection, and scenario planning — regardless of vertical.
Six statistical and ML methods compete per data series. The best combination is automatically weighted by validation accuracy.
Weather, economic indicators, promotional calendars, or any continuous variable that influences your demand.
Automatic identification of outliers, level shifts, and structural breaks in historical data before they corrupt forecasts.
What-if analysis on any variable: temperature, volume, staffing ratios, facility closures. Results in minutes.
The engine works with any time series operational data. If you have historical volumes and need to forecast staffing, throughput, or demand — we should talk.
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