Supply Intelligence

Closed-loop planning automatically connects demand forecasts to constraint-aware supply plans. When execution diverges from plan, the system updates demand signals accordingly, keeping forecasts and plans aligned. AI teammates learn from your decisions, reducing decision cycles from weeks to hours while improving inventory efficiency.

Translate demand forecasts into feasible supply plans (preview) that respect production capacity, warehouse space limits, lead times, and material availability. Constraint-aware planning reduces inventory costs while improving fill rates, helping you balance working capital with service levels.

Instead of fighting fires, AI teammates surface what matters before exceptions become production stoppages or stockouts. You see risks coming and have time to respond, reducing emergency expediting costs and maintaining service levels without excess safety stock.

Supply intelligence capabilities cluster exceptions into strategic decisions, ranked by your priority business outcome (cost, urgency, customer service levels, working capital). Focus on a few high-impact decisions instead of hundreds of reactive alerts.

AI teammates don't just recommend. You review and approve, then AI teammates learn and execute approved actions directly in your existing ERP and planning systems. Each recommendation includes clear explanations (the why, the data sources, the constraints, and the expected financial impact) so you can validate the logic before acting. 

During planning, AI teammates run mathematical optimization models to generate optimal supply plans across your network, balancing production capacity, warehouse space, lead times, and material availability. Supply intelligence surfaces planning-time exceptions based on configurable thresholds and planning rules you define, highlighting projected issues before they become problems. AI teammates interpret your standard operating procedures and rule files, translating business requirements into structured planning parameters. Each planning-time exception includes recommended corrective actions so you can adjust plans proactively. 

AI teammates continuously monitor inventory positions, supplier performance, demand signals, and execution against plans across your network. No more manual data gathering or waiting for weekly reports. Agents keep watch around the clock so your team can focus on strategic decisions. AI teammates continuously monitor inventory positions, supplier performance, demand signals, and execution against plans across your network. No more manual data gathering or waiting for weekly reports. Agents keep watch around the clock so your team can focus on strategic decisions.

Inventory intelligence detects exceptions based on your business rules, metrics, and priorities, not just threshold breaches. The system identifies projected out-of-stock situations, excess inventory risks, supplier lead time deviations, and safety stock misalignments. For each exception, AI teammates perform automated root cause analysis, identifying whether the deviation stems from demand forecast variance, supplier delays, or capacity constraints. Exceptions are intelligently grouped by common root causes, so a single supplier delay affecting multiple products becomes one strategic decision, not dozens of individual alerts. 

Receive specific, prioritized recommendations for purchase orders, transfer orders, safety stock adjustments, and supply planning decisions. Each recommendation includes clear explanations (the data sources, constraint violations, and expected financial impact) so you can validate the logic before acting. You review and approve, then AI teammates learn and execute recommended actions directly in third-party systems, closing the loop from insight to action without manual data entry. Track the status of each action through to completion.