Overview
The Available-to-Promise (ATP) engine calculates the net sellable stock at specific locations and dates. Unlike simple stock checks, ATP dynamically deducts allocated quantities from confirmed purchase orders, sales orders, and production commitments to provide an accurate picture of fulfillable demand.
Implementation Steps
Define Reservation Rules
Configure which reservation types (e.g., PO, Sales Order) take precedence and whether they are firm or tentative.
Map Inventory Locations
Ensure the system correctly identifies physical locations and their associated stock levels for accurate deduction.
Integrate Production Schedules
Link ATP with production planning modules to include future manufacturing output in availability calculations.
Execute Real-Time Query
Run the ATP algorithm against the current database state to generate sellable quantities for specific SKUs and timeframes.
Evolution from static stock deduction to dynamic, predictive inventory assurance.
Primary
The ATP calculation aggregates current on-hand inventory, adds expected incoming stock (e.g., scheduled receipts), and subtracts all committed reservations. The result represents the maximum quantity that can be promised to a new customer order without violating existing contractual obligations or causing stockouts.
Partial Fulfillment Support
Allows promising a subset of a customer order if full stock is unavailable, provided the requested portion is within sellable limits.
Multi-Location Allocation
Optimizes inventory distribution across warehouses to fulfill orders from the most appropriate location based on proximity or cost.
Scenario Simulation
Enables 'what-if' analysis by testing availability under different demand scenarios before finalizing an order promise.
Unified intake pipeline
Consolidate all order sources into one governed OMS entry flow.
Schema normalization
Convert channel-specific payloads into a consistent operational model.
98.5%
Sellable Inventory Accuracy
94.2%
Order Fulfillment Rate (ATP-Backed)
< 100ms
Average Reservation Deduction Latency
System Roadmap Architecture
The immediate focus is stabilizing our current ATP engine by fixing critical latency bugs and ensuring seamless integration with the ERP system. We will prioritize real-time inventory accuracy across all warehouses to eliminate false availability signals that frustrate sales teams. Within six months, we will expand functionality to support multi-warehouse allocation rules and dynamic priority scoring based on customer contracts or credit limits. This mid-term phase aims to transform ATP from a static check into an intelligent decision tool that optimizes order fulfillment rates while protecting service level agreements.
Looking further ahead, our long-term vision involves embedding predictive analytics directly into the ATP workflow. By leveraging historical demand patterns and lead time variability, we will enable proactive capacity planning before orders are even placed. This strategic evolution will shift our role from reactive inventory management to a proactive revenue protection engine, driving higher win rates and superior customer satisfaction through transparent, data-driven availability promises.
Connector resilience improvements
Strengthen retries, health checks, and dead-letter handling for source reliability.
Adaptive validation profiles
Tune validation by channel and account context to reduce false-positive rejects.
Exception intelligence
Prioritize high-impact intake failures for faster operational recovery.
Strategic Use Cases
Pre-Sales Order Confirmation
< 2 minutesAutomatically generates order confirmations with promised delivery dates based on real-time stock availability.
Production Planning Alignment
< 24 hoursTriggers production runs only when there is a confirmed ATP gap, preventing overproduction and excess inventory.
Cross-Docking Optimization
> 95%Identifies items available for immediate cross-docking by filtering out items with pending inbound shipments.