Global ATP

Provides a unified view of inventory across all plants, distribution centers, and in-transit stock. The engine simultaneously evaluates availability at every node in the supply network rather than checking a single default location.

• Aggregates on-hand, scheduled receipts, and in-transit inventory
• Eliminates siloed visibility that leads to lost sales
• Supports omnichannel fulfillment scenarios like ship-from-store

Executes configurable sourcing rules that define the sequence of supply locations to evaluate. Rules can be based on customer region, product category, or order type, ensuring the engine respects business policies.

• Primary/secondary/tertiary source hierarchies
• Split sourcing across multiple locations for a single order
• Rules can prioritize lowest cost, shortest lead time, or customer proximity

Goes beyond simple inventory subtraction by modeling real-world constraints. A constraint solver simultaneously evaluates material availability, production capacity, and transportation limitations to generate a feasible delivery date.

• Prevents over-promising against finite capacity
• Models transportation lanes and carrier cut-off times
• Integrates with Capable-to-Promise (CTP) for make-to-order scenarios

Performs the core ATP netting calculation across the global network in sub-second response times. The engine subtracts gross demand from scheduled receipts and on-hand inventory to compute the projected available balance at each node.

• Supports cumulative ATP for large orders spanning multiple periods
• Handles supersession chains to automatically substitute discontinued products
• Maintains demand pegging for full order traceability

When multiple locations can fulfill an order, the engine evaluates the total landed cost of each option. This includes picking, packing, freight, duties, and special handling to select the most profitable fulfillment path.

• Enables Profitable-to-Promise (PTP) decision logic
• Factors in carbon footprint for sustainability-aware sourcing
• Balances service level against margin protection

Provides a sandbox environment to test the impact of hypothetical supply or demand changes on global promising outcomes. Planners can model disruptions, new product launches, or sourcing policy changes without affecting live commitments.

• Simulate supplier delays or plant shutdowns
• Test allocation changes for key accounts
• Validate sourcing rule modifications before deployment

The predefined policy that dictates the sequence of locations a Global ATP engine evaluates. A sourcing rule defines a ranked list of supplying sites for a specific customer region, ensuring the check follows a logical, cost-optimized path.

• Example: Ship from Regional DC first, then National DC, then Sister Plant
• Prevents random or purely distance-based selection
• Can include splitting rules for partial fulfillment

The traceability mechanism that links a specific supply receipt (purchase order, production run) to a specific customer order. After Global ATP reserves inventory, pegging creates an immutable audit trail.

• Enables precise impact analysis if a supply is delayed
• Supports re-promising logic when disruptions occur
• Essential for regulatory compliance in aerospace and pharma

An advanced promising method that uses a constraint solver to simultaneously evaluate material, capacity, and transportation limitations. Unlike rule-based ATP, it finds the globally optimal solution across all constraints.

• Models bottleneck resources and finite capacity
• Generates a feasible delivery date in one pass
• Used for complex multi-site, multi-resource networks

The definitive perfect order metric that measures whether a Global ATP promise was kept. An order is OTIF only if it arrives with the complete quantity on the originally confirmed date.

• Formula: (OTIF Orders / Total Orders) * 100
• Industry benchmark: 95%+ for best-in-class supply chains
• Directly reflects the accuracy of ATP logic