ASIREON
AI-driven demand forecasting, production optimization, materials planning, and supply chain intelligence. Replace spreadsheet chaos with autonomous agents that learn, adapt, and optimize your operations in real time — achieving 35% better forecast accuracy from week one.
Multi-horizon demand prediction using ensemble ML models that incorporate seasonality, trends, and external signals.
Constraint-based scheduling that maximizes throughput while respecting equipment, labor, and material limitations.
Intelligent MRP that balances inventory costs against service levels with dynamic safety stock optimization.
End-to-end visibility from raw materials through finished goods with supplier risk monitoring.
Run what-if analyses to evaluate the impact of demand changes, supply disruptions, or capacity adjustments.
Self-learning AI agents that continuously optimize plans based on real-time production feedback.
Forecasts demand across SKUs, channels, and time horizons using ensemble ML models with automatic feature engineering.
Optimizes production schedules considering constraints, changeovers, and maintenance windows for maximum throughput.
Manages procurement timing, safety stocks, and supplier allocation to minimize costs while preventing stockouts.
Orchestrates end-to-end supply chain operations with real-time risk assessment and alternative sourcing.
From daily scheduling to 18-month strategic planning, all connected and consistent.
Automatically balance hundreds of constraints across capacity, materials, labor, and quality.
Plans automatically adjust when disruptions occur — machine downtime, rush orders, or supply delays.
Sales, operations, and finance teams align through shared planning scenarios and assumptions.
Track forecast accuracy, schedule adherence, and inventory turns with automated root cause analysis.
Virtual model of your operations for risk-free testing of planning strategies.
Bi-directional sync with SAP, Oracle, Microsoft Dynamics for master data and transactional flow.
Export planning data and KPIs to Power BI, Tableau, or custom dashboards.
Connect to data warehouses, lakes, and streaming platforms for real-time signal processing.
Asireon's ensemble ML models typically achieve 35% better forecast accuracy than manual methods by automatically detecting patterns, seasonality, and external market signals that humans often miss — and doing so consistently across hundreds of SKUs simultaneously.
Yes. Asireon's constraint optimization engine handles hundreds of simultaneous constraints including machine capacity, changeover times, labor availability, material limitations, and quality requirements. It finds optimal schedules that human planners simply cannot compute manually.
Most customers see measurable improvement within 4–6 weeks as the AI agents learn your specific demand patterns. Accuracy continues improving as more historical data is processed and the models adapt to your production environment.
Asireon complements your ERP rather than replacing it. It enhances planning intelligence while using your ERP as the system of record for execution. Bi-directional sync means plans flow between systems automatically.
At minimum, 12–24 months of historical demand and production data. The more data available, the faster the AI agents can learn and optimize. Our implementation team handles all data extraction and preparation from your existing systems.
See how Asireon can bring autonomous AI planning to your manufacturing operations.
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