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Handoffs nobody owns
Manual coordination between BSS and OSS introduces delay and error at every boundary. The order is technically "in progress" and practically nowhere.
The order your customer placed is not the work your network has to do. Industries Order Management is what turns one into the other — and keeps it from getting stuck halfway.
We implement Salesforce Industries Order Management for telecom and other asset-heavy sectors: decomposition from commercial order to technical work, orchestration plans that route each task to the system or person that can do it, and the exception handling that stops orders dying quietly in the middle office.
Book a DemoOrders rarely fail at the point of sale. They fail somewhere between the order and the network, in a handoff nobody owns.
A converged order touches BSS, OSS, field scheduling, partner APIs and billing — systems that often share no common data model. Every handoff between them is a place where an order can stall, and when it does, the first person to notice is usually the customer. "Where is my order?" is not a contact-centre problem; it is an orchestration problem arriving late.
Industries Order Management exists to close that gap: decompose the commercial order into the technical work it implies, run that work as a plan with explicit dependencies, and surface the exceptions while someone can still act on them.
Manual coordination between BSS and OSS introduces delay and error at every boundary. The order is technically "in progress" and practically nowhere.
Multi-play bundles and sliced services depend on partner systems outside your control. One silent timeout strands the whole order.
Orders captured in store, in a portal, over the phone and by field agents get recorded differently, so reconciliation becomes archaeology.
Without jeopardy and SLO monitoring, an order that will miss its date looks identical to one that will make it — until the day it doesn't.
Six areas, each one a place where Order Management programmes usually run into trouble.
Order capture from quote, portal, partner and assisted channels, with validation at the point of entry so a structurally impossible order never reaches fulfilment in the first place.
Commercial products mapped to technical products and the work they imply, producing fulfilment requests for the systems downstream. Modelled so a new offer reuses the decomposition you already have.
Orchestration items with real dependencies — callouts to other systems, milestones that complete when their prerequisites do, and manual tasks that land in the right queue with the context to action them.
Connections to inventory, activation, provisioning, field scheduling and partner APIs, built to TM Forum Open API shapes where your estate supports them so integration is a mapping exercise, not a negotiation.
Automatic retry where retry is safe, routing to a fallout operator where it is not, and manual queues designed for the people who actually work them rather than for the data model.
Order status that means the same thing to the customer, the agent and the engineer, with jeopardy signals early enough to change the outcome rather than explain it.
Converged orders, mid-contract change, multi-site enterprise delivery and the exception paths that decide whether any of it lands on time.
A household buys fibre, mobile, fixed voice and a bundled streaming add-on in one basket. The order decomposes into provisioning, dispatch, installation and activation work, each routed to the team or system that fulfils it, with one status the customer and the agent both see.
Result: fewer orders stranded between systems, and a truthful answer to "where is my order".
A connectivity contract across dozens or hundreds of sites, where each site has its own serviceability, lead time and install window. Site-level orchestration runs in parallel while the contract is tracked as one commitment.
Result: a programme-sized delivery managed without a programme-sized spreadsheet.
Upgrades, downgrades, suspensions and house moves generate change orders that must touch only what actually changed. Decomposition works out the delta so the network is not asked to rebuild a service that is already running.
Result: change orders that complete in hours rather than cycling through manual review.
A partner API times out, an address fails validation, an appointment is missed. Each exception is caught as an orchestration item, retried where safe, and otherwise queued to a fallout operator with the order context attached.
Result: exceptions resolved as work items, not discovered in a weekly report.
Installation work that depends on an engineer, a van stock item and a third-party civils crew. Orchestration holds the dependencies so a task is not released before the thing it needs exists.
Result: fewer wasted truck rolls and fewer appointments that could never have been met.
Orders fulfilled partly or wholly by another operator, with your SLA still facing the customer. Callouts, milestones and jeopardy tracking cover the part of the journey you do not run yourself.
Result: visibility across a boundary you do not control.
We maintain a working telecom lead-to-cash demo org covering catalogue, quoting, order capture and orchestration. Ask for a walkthrough against your own order shapes.
Salesforce ships more than one product with "Order Management" in the name. Picking the wrong one is an expensive discovery to make in build.
If your orders are about stock, shipments and returns, you want the commerce product. If your orders are about turning a sold service into work that a network, a field team and a partner have to perform in the right order, you want Industries Order Management. Telecom, utilities and media almost always need the second.
| Dimension | Industries Order Management | Commerce / retail Order Management |
|---|---|---|
| Core job | Decompose a sold service into technical work and orchestrate it to completion | Fulfil a basket of goods from available stock |
| Typical sectors | Telecom, utilities, media, logistics-heavy services | Retail, consumer goods, direct-to-consumer commerce |
| Central concepts | Decomposition, fulfilment requests, orchestration items, jeopardy, fallout | Inventory, allocation, shipment, returns and exchanges |
| Fulfilled by | Network, provisioning, field engineers and partner systems | Warehouses, carriers and stores |
| Hardest part | Dependencies between tasks across systems you do not all own | Accurate stock position and delivery promise |
Not sure which one your roadmap actually needs? That is a sensible first conversation, and a short one.
Agentforce is useful in the order flow, but it is not a substitute for an orchestration model that works.
An agent can chase a stuck order, explain a delay in plain language, or propose the next action to a fallout operator. What it cannot do is invent dependencies that were never modelled, and it will act on whatever data its user could already reach. So we get decomposition, orchestration and permissions right first, then put agents where they remove real handling time.
Book a DemoFour phases, each ending in something you can review. No phase runs blind into the next.
Order shapes, current fallout rates and where they occur, integration landscape, a fit assessment against the Industries model, and an estimate you can budget from.
Decomposition model, orchestration plan design, integration contracts, exception and fallout handling, test strategy and release sequence.
Configured org, integrations built and tested against real order shapes including the failure paths, plus UAT sign-off with your fulfilment operators in the room.
Go-live by product line or segment where that is safer than a single cutover, four weeks of hypercare, and handover documentation your team can run on.
Order volume, the number of fulfilment systems and the state of your product catalogue move these numbers more than anything else — which is exactly what the first phase is there to tell you before you commit.
Decomposition, orchestration and fulfilment integration are a core practice here, not something we read up on for the pitch.
Converged bundles, amendments and multi-site delivery designed against a working lead-to-cash model.
150+ implementations delivered across Sales, Service, CPQ and Industries.
Most programmes design the happy path and discover the rest in production. Fallout handling is part of our design phase, not a hypercare surprise.
Brussels, Paramus and Pune — design in your time zone, build at scale.
BRDs, traceability matrices, test scenarios and functional mappings come with the build, not as a change request.
It is the Salesforce Industries capability that turns a commercial order into the technical work needed to deliver it. Decomposition breaks the order into its components and generates fulfilment requests for downstream systems; orchestration then runs those tasks in dependency order, routing each to the system or person that can complete it.
The commerce product manages stock, shipments, returns and exchanges for retail baskets. Industries Order Management manages decomposition and orchestration of services across network, field and partner systems. Telecom, utilities and media generally need the Industries product; the names are similar and the jobs are not.
Mapping what the customer bought to what has to be built or configured. A single broadband order might decompose into an account setup, a line provisioning task, a device dispatch and an activation check. Salesforce exposes this in the Decomposition View, with commercial products on one side and their technical products on the other.
Orchestration items and their dependencies. Items are typically callouts to other systems, milestones that complete when their prerequisites finish, or manual tasks that go to a queue for a person to action. The Orchestration Plan View shows each item, what it is waiting on and its current state.
By designing for it rather than reacting to it. Transient failures retry automatically where retry is safe. Everything else becomes a work item in a manual queue with the order context attached, so a fallout operator can resolve it and let orchestration continue. We design these paths during the design phase, not after go-live.
Yes, and that is usually most of the work. We build to TM Forum Open API shapes where your estate supports them, which makes integration a mapping exercise rather than a bespoke interface project. Where it does not, we design the adapters explicitly rather than hiding them inside orchestration logic.
A focused first release typically runs three to six months from discovery to go-live. Order volume, the number of fulfilment systems and the state of your product catalogue move that more than anything else. Our assessment gives you a defensible estimate in three to four weeks.
Yes, and it is often the better arrangement. We will take a workstream, augment your admins and developers, or run the programme and hand it over — with the documentation needed to make the handover real.
Whether it is fallout you cannot see, a converged bundle your current stack cannot decompose, or a first move onto Industries Order Management — the first conversation costs nothing and usually clarifies more than a demo would.
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