Distribution Planning / DRP is where ERP discipline either begins or breaks.
Distribution Requirements Planning (DRP) and Replenishment from DC to Branch 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: Branch service level (fill rate) above 97%; transfer order consolidation saving 15% in freight cost; DC overstock from push transfers reduced by 20%
The control flow a finance team actually needs.
Step 1
Multi-Echelon DRP Across At Least 3...
Step 2
Apply Configurable Replenishment...
Step 3
Auto-Consolidate Transfer Orders By...
Step 4
Provide DC Capacity Check Before Release
Step 5
Synchronize In-Transit Quantities In...
The ERP surface involved.
Module
Distribution Planning / DRP
Actors
Distribution Planner, Warehouse Manager (DC), Warehouse Manager (Branch), DRP Engine
Tier
Tier 2
Finance area
Supply Chain, Demand Planning & Logistics
Region lens
US and UK finance teams
Publication date
May 16, 2026
Support multi-echelon DRP across at least 3 echelon levels (plant → regional DC → branch); apply configurable replenishment frequency and min/max quantities per branch-item; auto-consolidate transfer orders by destination to optimize truck utilization; provide DC capacity check before release; synchronize in-transit quantities in real time upon shipment confirmation; DRP calculation for 50,000 branch-item combinations within 1 hour
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 | Support multi-echelon DRP across at least 3 echelon levels (plant → regional DC → branch | Given branch-level demand forecasts, on-hand inventory, in-transit transfers, and safety stock targets for each distribution point |
| Control 2 | apply configurable replenishment frequency and min/max quantities per branch-item | when the DRP engine calculates net requirements for a 50,000 branch-item set |
| Control 3 | auto-consolidate transfer orders by destination to optimize truck utilization | then planned transfer orders are generated within 1 hour applying min/max quantities and transport frequency, DC capacity is checked before release, and in-transit quantities update in real time upon shipment confirmation |
| Control 4 | provide DC capacity check before release | negative) when a transfer release would exceed DC outbound capacity then the system must return 409 DC_CAPACITY_EXCEEDED and require planner confirmation to override. |
| Control 5 | synchronize in-transit quantities in real time upon shipment confirmation | Branch service level (fill rate) above 97%; transfer order consolidation saving 15% in freight cost; DC overstock from push transfers reduced by 20% |
| Control 6 | DRP calculation for 50,000 branch-item combinations within 1 hour | Branch service level (fill rate) above 97%; transfer order consolidation saving 15% in freight cost; DC overstock from push transfers reduced by 20% |
Audit evidence is a chain, not a folder.
| Evidence layer | What should be preserved |
|---|---|
| Business event | The DRP engine reads branch-level demand forecasts, on-hand inventory, in-transit transfers, and safety stock targets for each distribution point. It calculates net requirements at each branch and generates planned transfer orders from the sourcing DC, applying minimum transfer quantities and transport frequency constraints. The DC planner reviews consolidated transfer suggestions and approves a transfer wave, balancing truck utilization and urgency. Approved transfer orders are released to the DC warehouse management system for pick, pack, and ship. Shipment confirmation updates in-transit inventory at the branch, and goods receipt updates on-hand at the branch. |
| Control rules | Support multi-echelon DRP across at least 3 echelon levels (plant → regional DC → branch); apply configurable replenishment frequency and min/max quantities per branch-item; auto-consolidate transfer orders by destination to optimize truck utilization; provide DC capacity check before release; synchronize in-transit quantities in real time upon shipment confirmation; DRP calculation for 50,000 branch-item combinations within 1 hour |
| Acceptance proof | Given branch-level demand forecasts, on-hand inventory, in-transit transfers, and safety stock targets for each distribution point; when the DRP engine calculates net requirements for a 50,000 branch-item set; then planned transfer orders are generated within 1 hour applying min/max quantities and transport frequency, DC capacity is checked before release, and in-transit quantities update in real time upon shipment confirmation; (negative) when a transfer release would exceed DC outbound capacity then the system must return 409 DC_CAPACITY_EXCEEDED and require planner confirmation to override. |
| 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
`drp_plan` { plan_id: string, run_at: timestamp, echelon_levels: int, status: enum(DRAFT/APPROVED/RELEASED) }; `planned_transfer_order` { transfer_id: string, plan_id: string, from_location_id: string, to_location_id: string, item_id: string, quantity: int64, planned_ship_date: date, min_transfer_qty: int64, status: enum(PLANNED/APPROVED/IN_TRANSIT/RECEIVED), external_id: string }; (reference, product may differ).API and events
`POST /v1/drp/runs` { network_config_id } -> 202 { run_id }; `GET /v1/drp/runs/{run_id}/transfer-orders`; `POST /v1/drp/transfer-orders/{transfer_id}/release` -> 200; `POST /v1/drp/transfer-orders/{transfer_id}/ship-confirm` { actual_qty: int64 } -> 200; emits `drp.transfer.shipped` and `drp.transfer.received` events; idempotent via `external_id`.State transitions
`PLANNED -> APPROVED -> RELEASED -> IN_TRANSIT -> RECEIVED`; terminal `CANCELLED`; guard: RELEASED blocked if DC capacity check fails without override approval.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.