Order Fulfillment / ATP is where ERP discipline either begins or breaks.
Available-to-Promise (ATP) Real-Time Check at Order Entry looks operational from far away. In a real finance team, it is a chain of assertions: the right actor started the work, the required records existed, the control policy was applied, the state change was preserved, and the outcome can be explained later without rebuilding the transaction from emails and spreadsheets.
The expected business outcome is specific: Order promise accuracy above 95%; ATP confirmation rate above 90% on first inquiry; double-booking incidents reduced to zero
The control flow a finance team actually needs.
Step 1
ATP Response Time Under 2 Seconds For A...
Step 2
Global ATP Across Multiple Warehouses...
Step 3
Account For In-Transit Inventory And...
Step 4
Respect Customer-Tier Allocation Priority
Step 5
Allow Override With Reason Code By...
The ERP surface involved.
Module
Order Fulfillment / ATP
Actors
Sales Representative, Customer, ATP Engine, Inventory Module
Tier
Tier 2
Finance area
Supply Chain, Demand Planning & Logistics
Region lens
US and UK finance teams
Publication date
May 13, 2026
ATP response time under 2 seconds for a single order line; support global ATP across multiple warehouses with priority rules; account for in-transit inventory and planned receipts; respect customer-tier allocation priority; allow override with reason code by authorized roles; update availability immediately upon confirmation to prevent double-booking; support multi-line order ATP in under 5 seconds
US and UK teams have different compliance hooks, but the same control problem.
US teams usually care about clean evidence for audit support, vendor records, payment controls, tax reporting, and management review. UK teams usually care about VAT-ready records, approval evidence, digital-record discipline, and traceable postings. The country-specific details differ, but the operating pattern is the same: the ERP needs controlled records, explicit ownership, defensible state changes, and evidence that survives beyond the person who completed the task.
The control matrix.
| Control area | Requirement | Acceptance proof |
|---|---|---|
| Control 1 | ATP response time under 2 seconds for a single order line | Given item stock, open POs, planned production, and existing sales order commitments are loaded in the ATP engine |
| Control 2 | support global ATP across multiple warehouses with priority rules | when a sales rep submits an order line with item, quantity, and requested ship date |
| Control 3 | account for in-transit inventory and planned receipts | then the ATP engine returns a confirmation or alternate date within 2 seconds, allocates inventory on confirmation, and prevents double-booking by immediately updating availability |
| Control 4 | respect customer-tier allocation priority | |
| Control 5 | allow override with reason code by authorized roles | Order promise accuracy above 95%; ATP confirmation rate above 90% on first inquiry; double-booking incidents reduced to zero |
| Control 6 | update availability immediately upon confirmation to prevent double-booking | Order promise accuracy above 95%; ATP confirmation rate above 90% on first inquiry; double-booking incidents reduced to zero |
Audit evidence is a chain, not a folder.
| Evidence layer | What should be preserved |
|---|---|
| Business event | When a sales rep enters a customer order line specifying item, quantity, and requested ship date, the ATP engine instantly queries on-hand inventory, open purchase orders, planned production orders, and existing sales order commitments. It calculates the earliest date the requested quantity can be shipped, considering warehouse location, lead times, and allocation rules. If the requested date is feasible, the system confirms and allocates inventory. If not, it proposes an alternate ship date or partial fulfillment quantity. The confirmed promise is written back to the order line and communicated to the customer. |
| Control rules | ATP response time under 2 seconds for a single order line; support global ATP across multiple warehouses with priority rules; account for in-transit inventory and planned receipts; respect customer-tier allocation priority; allow override with reason code by authorized roles; update availability immediately upon confirmation to prevent double-booking; support multi-line order ATP in under 5 seconds |
| Acceptance proof | |
| Data record | |
| System event | |
| Lifecycle state | |
The useful version of this workflow is not only fast. It is inspectable. A controller, auditor, or operator should be able to move from source event to system record to state transition to final business outcome without guessing.
Implementation contracts.
Reference data model
`atp_inquiry` { inquiry_id: string, order_line_id: string, item_id: string, qty_requested: int64, requested_ship_date: date, warehouse_priority: string[], status: enum(PENDING/CONFIRMED/ALTERNATE_OFFERED/OVERRIDDEN) }; `atp_allocation` { allocation_id: string, inquiry_id: string, qty_allocated: int64, committed_ship_date: date, warehouse_id: string, override_reason: string, external_id: string }; (reference, product may differ).API and events
`POST /v1/atp/inquiries` { item_id, qty_requested, requested_ship_date, warehouse_ids, customer_tier } -> 200 { feasible: bool, confirmed_ship_date, alternative_date, alternative_partial_qty, inquiry_id }; `POST /v1/atp/inquiries/{inquiry_id}/confirm` -> 200 { allocation_id }; `POST /v1/atp/inquiries/{inquiry_id}/override` { override_date, reason_code } -> 200; emits `atp.allocated` event; idempotent via `external_id`.State transitions
`PENDING -> CONFIRMED`; alternate path `PENDING -> ALTERNATE_OFFERED -> CONFIRMED`; override path adds `OVERRIDDEN` state; terminal `EXPIRED`; guard: confirmation blocked if available qty has changed since inquiry due to concurrent allocation.Common implementation traps.
Treating the workflow as data entry
If the ERP only stores the final record, the team loses the decision trail that explains how the record became valid.
Hiding exception logic
Exceptions need owners, reason codes, and time stamps. A vague pending state is not a control.
Posting without recovery design
Retries, duplicate submissions, and partial failures must be explicit so the system does not create inconsistent records.
Skipping evidence design
A workflow that cannot produce evidence on demand will eventually push finance teams back into manual screenshots and spreadsheets.
Where Rivane fits.
Rivane is built for finance workflows where automation must stay tied to source documents, approvals, state transitions, ledger impact, reporting, and audit evidence. Use this guide as a checklist for evaluating whether an ERP workflow is merely digitized or actually controlled.
References and source basis.
These sources provide the standards, regulatory, or government context around the flow. They are included so the guide is useful to finance operators, auditors, and implementation teams, not only buyers reading software copy.