Explainable AI decision engineengineered for global supply chain leaders.
A unified intelligence cockpit integrating probabilistic demand forecasting, causal SHAP attribution waterfalls, and autonomous inventory replenishment across 120 global distribution hubs.
Transforming black-box ML predictions into high-conviction executive decisions.
Supply chain leaders routinely ignored statistical machine learning recommendations because legacy tools offered zero explainability into why predictions were generated. Arcrux engineered an explainable AI cockpit that bridges statistical inference with causal waterfall attributions and deterministic human-in-the-loop controls.
Demystifying black-box predictions with interactive attribution waterfalls.
Supply chain executives can inspect the exact feature weights driving every SKU recommendation—factoring macroeconomic indices, regional supplier lead times, and weather anomalies with sub-200ms interactive exploration.
Autonomous purchase order generation across 120 distribution hubs.
Eliminated weeks of manual spreadsheet calculations. When stock projections fall below safety buffers, the platform generates optimized purchase orders that respect supplier MOQs, container volume packing, and transit lead times.
Monte Carlo simulations modeling tariff shocks and supplier disruptions.
Leaders simulate supplier outages, port strikes, and sudden demand spikes across 10,000 parallel scenarios. The system visualizes risk envelopes and recommends optimal mitigation strategies before crises materialize.
Calm, high-density visualization primitives for high-stakes decisions.
Engineered an information architecture that minimizes cognitive load while displaying multidimensional statistical distributions, confidence intervals, and decision thresholds with crisp, unambiguous visual hierarchy.
Quantified business outcomes across 120 global distribution hubs.
Within 120 days of deployment, the platform transitioned executive teams from gut-feel procurement to automated, high-conviction decision intelligence.
Reduced safety buffer overstock by 28% without increasing stockout risk.
Outperformed legacy statistical baseline models by 27% across all SKUs.
Automated purchase order generation cut procurement cycles from days to minutes.
Supply chain executives accepted algorithmic guidance without manual overrides.
“Before Arcrux, our planners spent weeks second-guessing opaque ML outputs in Excel. The explainability and simulation capabilities in this platform gave our team total confidence to automate our most critical inventory decisions.”