AI for Supply Chain · ERP-native
For manufacturers, distributors, and logistics operators. Demand forecasting with confidence intervals, real-time disruption monitoring, and supplier-risk anomaly detection - wired into SAP, Oracle, and your TMS.
01 · The Supply-Chain-AI Gap
Excel-based S&OP can't keep up with multi-region, multi-tier supplier networks under continuous disruption.
A single-number forecast can't drive inventory decisions; you need conservative / central / stretch scenarios.
Tier-2 supplier risk, port congestion, weather, geopolitics - the signals exist, but they're not surfaced in the ERP.
02 · What We Build for Supply-Chain Teams
ML forecasts calibrated to your history; conservative / central / stretch scenarios per SKU per region.
↓ 31% forecast varianceTier-2 supplier risk, port congestion, weather, and geopolitical signals routed as actionable alerts.
Hours, not weeks of warningMaterially unusual supplier behavior - payment cycles, quality drift, leadership turnover - flagged in real time.
+58% novel-risk catchScenario planning, what-if modeling, and recommended re-balancing across SKUs and regions.
Days → hoursDriver dispatch, carrier confirmation, and shipment status - 24/7, in your fleet's language.
↓ 40% dispatch timeContinuous re-forecasting of demand vs. on-hand vs. in-transit; route around imminent stock-outs automatically.
↓ 64% stock-out incidents03 · Your Supply Chain Stack
Agent 01 · Forecasting
ML forecasts with confidence intervals, scenario modeling, and full backtest reporting against your history.
Agent 02 · Anomaly Detection
Real-time anomaly detection across your supplier network, logistics flow, and demand patterns.
04 · Measured Outcomes
Forecast variance
↓ 31%
Quarterly variance cut by a third within 2 quarters.
Stock-out incidents
↓ 64%
Continuous re-forecasting routes around imminent stock-outs automatically.
Disruption warning
Days → hours
Real-time signal routing - disruptions caught in hours instead of weeks.
Our planning team used to debate forecast assumptions for hours. Now the assumptions are encoded once, the model backtests them, and the team debates strategy, not arithmetic.
Built for regulated industries
Private cloud and on-prem deployment available. Your data never trains our models. Ever.
Pre-built modules deploy fast - no months-long IT projects, no consultancy bloat.
Salesforce, Dynamics, ServiceNow, SAP, custom DMS/ERP. We integrate. We don't replace.
Built for regulated industries - finance, healthcare, legal, manufacturing, public sector.
30 minutes. Hand us 12 months of history. We'll backtest a calibrated forecast against it live.