Order Orchestration in Agentforce Revenue Management
Dynamic Revenue Orchestrator (DRO) breaks down a single commercial order into multiple,
manageable fulfillment steps. You can execute a tailored fulfillment plan for each product or
service.
Required Editions
Available in: Enterprise, Unlimited, and Developer
Editions
Dynamic Revenue Orchestrator breaks down a customer's commercial order into the individual
technical products, services, and tasks that are needed to fulfill it. The decomposition
process bridges the gap between how a product is sold by sales reps and how it is actually
delivered and managed by your order fulfillment team.
After order items are decomposed into fulfillment line items, an orchestration fulfillment
plan tracks the stages and tasks required to fulfill the order to completion. A fulfillment
plan can contain prioritization rules, SLAs, external callouts, automated tasks, manual tasks,
and order fallout contingencies.
You can use DRO to orchestrate Industries Configure, Price, Quote (CPQ) orders. Because DRO
is preintegrated with Industries CPQ, you can use DRO without migrating commercial product
data out of Enterprise Price Catalog (EPC). See Salesforce Release Note: Integrate DRO with Industries
CPQ.
Here's a high-level summary of the steps required to build your DRO solution.
Create your technical product catalog.
Define how products decompose using decomposition rules, field mapping, and execution
rules.
Create fulfillment plans using a visual plan editor in the fulfillment workspace.
Define fulfillment steps and product fulfillment scenarios for each of your fulfillment
plans.
Define rules for handling SLA jeopardy and order fallout.
Monitor orchestration in real time using the fulfillment orchestration dashboard.
To migrate product fulfillment decomposition rules, fulfillment scenarios, fulfillment step
definitions, and fulfillment task assignment rules between Salesforce orgs, use Data API.
For high-volume data transfers, use Bulk API to move these records and their associated
condition data.
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