Salesforce ERP Integration: How It Works, What It Costs, and What to Plan For
Salesforce ERP integration connects the system where you sell to the system where you fulfill. This guide covers how records move between them, what each connection method costs, how long a build takes by scope, and what the integration costs to run after launch.
Summarise with AI
Short on time? Let AI do the work. Get the key points.
A deal closes in Salesforce on Tuesday and the warehouse hears about it on Thursday, by email. Somewhere between those two days a person retypes the order, a quantity drifts, and the customer receives a delivery date that nobody can actually hold.
Salesforce ERP integration connects the system where you sell to the system where you fulfill, so that stops happening. Most teams already know why they want it. What they struggle to find is what the work costs, how long it runs, and which parts of it drive the number.
This guide covers the mechanics of how records move, the cost bands we see on real projects, delivery timelines by scope, and what the integration costs to keep running after launch. It applies whether you are connecting to a packaged suite or to a custom ERP software built around your own workflow.
Key Takeaways
- What actually moves: Customer records, product and pricing data, inventory levels, quotes and orders, and invoices, each with its own owner and sync frequency.
- Three ways to connect: Point-to-point custom code, middleware or iPaaS, and pre-built connectors. Each has a different point at which it stops scaling.
- Typical project cost: $10,000 to $40,000 for a standard connection, rising to $150,000 and beyond for multi-system programs, driven by the number of connected systems, data volume, and how much custom logic sits between them.
- Typical delivery time: 6 to 14 weeks for a core bidirectional sync covering accounts, products, and orders.
- Ongoing cost: Roughly 15% to 20% of implementation each year for maintenance, monitoring, and API capacity.
- Why records fail to match: Identifier mapping, aggregation grain, and fiscal calendar alignment cause most of the load errors teams see after go-live.
- Where the cost concentrates: The ERP side, because the data model, the API surface, and the upgrade cycle all sit outside your control.
What is Salesforce ERP integration?
Salesforce ERP integration is the process of connecting Salesforce to an ERP system so both share the same customer, order, inventory, and financial records. Data moves between them automatically on a schedule or on event triggers, with one system designated as the owner of each field. This removes duplicate entry and keeps sales and operations working from the same numbers.
ERP (Enterprise Resource Planning): The system that runs the operational side of a business. Finance, inventory, procurement, manufacturing, and fulfillment. It holds what you have, what you owe, and what has shipped.
CRM (Customer Relationship Management): The system that runs the customer-facing side. Salesforce is the most widely deployed example. It holds who you are selling to, what stage the deal is at, and what was promised.
A Salesforce CRM ERP integration exists because the two systems hold different halves of the same transaction. Salesforce knows a customer committed to 400 units at an agreed price. The ERP knows whether 400 units exist, what they cost to produce, and when they can ship. Neither answer is complete on its own.
Integration is what makes them one answer. A sales rep checking availability sees live stock levels on the product record. A finance team reconciling the quarter sees pipeline and booked revenue in the same view. The work of connecting them is what the rest of this guide covers, starting with how the records actually move.
How does ERP integration with Salesforce work?
Records move between the two systems on a defined schedule or on event triggers, with one system designated as the owner of each field. Five data categories usually cross the line: Customer and account master, product and pricing, inventory levels, quotes and orders, and invoices. Each moves at a different frequency depending on how fast the underlying data changes.
Most of the engineering work is not in moving the data. It is in agreeing what the data means on both sides before anything moves at all.
Which system should own each field?
One system has to win when the same field exists in both places and the values disagree. The ERP typically owns credit limits, payment terms, pricing, and inventory. Salesforce typically owns contact details, opportunity stage, and communication history. Fields without a defined owner produce conflicts where correct data gets overwritten by stale data.
The system of record is decided per field, not per system. A customer address is a good example. The shipping address usually belongs to the ERP, because fulfillment depends on it and finance maintains it. The billing contact email usually belongs to Salesforce, because sales updates it during live conversations.
Write the ownership decisions down before development starts. Every field that syncs needs an answer, and the answers become the rules the integration enforces.
What data syncs between Salesforce and an ERP?
Five categories cover most integrations. Each has a natural owner, a natural frequency, and a volume profile that shapes how it should be moved.
| Data category | Typical owner | Frequency | Volume profile |
| Customer and account master | ERP | Initial load plus delta | Medium, grows with the customer base |
| Product catalog and pricing | ERP | Low frequency delta | Medium, hierarchy-dependent |
| Inventory levels | ERP | Near real time | High, changes constantly |
| Quotes and orders | Salesforce to ERP | Daily to near real time | High during peak periods |
| Invoices and payment status | ERP | Post-close batch | High per period |
The frequency column is where teams overspend. Inventory genuinely needs near real-time sync, because a rep quoting stock that does not exist costs a deal. The quote-to-cash flow sits in the same tier, since an approved quote that reaches the ERP a day late delays the invoice by the same day. A product catalog updated nightly is fine, and syncing it every fifteen minutes burns API capacity for no operational gain.
Match each flow to what the business actually needs. MuleSoft’s Connectivity Benchmark found the average enterprise runs 897 applications with only 29% of them integrated, which is what happens when integration gets treated as an all-or-nothing project.
Why do records fail to match across systems?
Three technical mismatches cause most of the load errors teams see after go-live. All three are design decisions, and all three are cheaper to settle before development than after.
- Identifier mapping: Customer numbers in the ERP and account IDs in Salesforce rarely match one to one. A cross-reference has to connect them, and it needs maintenance as new customers arrive, duplicates get merged, and identifiers change.
- Aggregation grain: ERP invoices sit at line-item level. Salesforce forecasts and agreements often sit at account and product-family level. Loading line-item values into a product-family field produces totals that look plausible and are wrong.
- Fiscal calendar alignment: Non-calendar structures like 4-4-5 or 13-period put actuals into the wrong bucket when the two systems are configured independently. An October that runs from 28 September in one system and 1 October in the other will never reconcile.
Each of these is invisible until reporting disagrees. Settling them during scoping is what keeps the numbers trustworthy once the integration is live.
What are the Salesforce ERP integration methods?
Three methods cover almost every build: Point-to-point custom code, middleware or iPaaS, and pre-built connectors. The right one depends on how many systems you need to connect, how much custom logic sits between them, and who will maintain the connection after launch. Each method works well up to a point and then stops scaling.
1. Point-to-point custom code
Developers write direct API calls between Salesforce and the ERP with no platform in between. It gives complete control over how every field maps and transforms, which suits businesses with logic that no template handles. The tradeoff is that your team owns all of it, including error handling and every update either platform ships.
This works cleanly for one connection with a defined set of fields. The difficulty compounds with the second and third system, because each new connection needs its own code, its own monitoring, and its own fixes when an API version changes. Salesforce ships API updates three times a year, and every direct connection has to keep pace.
2. Middleware and iPaaS
A platform sits between the systems and handles routing, transformation, and error handling centrally. Salesforce connects to the platform, the ERP connects to the platform, and the platform manages what happens in between. MuleSoft, Boomi, and Workato are the widely used options.
Adding a fourth or fifth system means connecting it to the hub rather than building another point-to-point link. Monitoring, retry logic, and alerting come built in. The cost is a subscription plus the platform expertise to configure and run it, which is why this becomes the default once a business crosses roughly three integrations.
3. Pre-built connectors
A packaged connector handles a specific pairing out of the box, with field mappings already defined for common objects. Setup runs in days rather than weeks, and configuration happens through an interface rather than code.
The constraint is the template. Connectors cover standard objects well and handle heavily customized fields or unusual workflows less well. They also tie you to that vendor’s release schedule for updates. This fits businesses whose processes align closely with how the connector was designed.
One decision to make now, not later: The integration layer you choose is increasingly the layer that will carry AI agents. Salesforce completed its acquisition of Informatica in November 2025, folding data governance and quality capabilities into MuleSoft, and has since positioned that combined stack as the routing and governance layer for Agentforce and other enterprise agents. An architecture chosen only for today’s sync requirements may need rebuilding when agent workflows arrive.
| Method | Setup effort | Scales to | Maintenance load | Where it stops working |
| Point-to-point | Medium to high | 1 to 2 systems | On your team | Third system, or the first major API change |
| Middleware or iPaaS | Medium | Many systems | Shared with platform | Small builds where the subscription outweighs the benefit |
| Pre-built connector | Low | 1 pairing | On the vendor | Custom objects and non-standard workflows |
Choosing between them is a scoping decision more than a technical one, which is why the next section covers what to settle before development starts. For builds that connect Salesforce to systems beyond the ERP, the same logic applies across the wider Salesforce integration estate.
How do you scope an ERP and Salesforce integration?
Five decisions have to be settled before development starts: Which objects and fields move, who owns each field, how current each flow needs to be, what happens when a sync fails, and who maintains the connection after launch. Skipping any of them moves the work later in the project, where it costs more to fix.
Scoping is where integration projects are won. The build itself is mechanical once these five answers exist.
1. List the objects and fields on both sides
Document every Salesforce object and every ERP entity involved. On the Salesforce side that usually means accounts, contacts, opportunities, quotes, orders, and products. On the ERP side, customers, items, sales orders, invoices, and inventory.
Then go a level deeper and list the fields inside each. Note where formats diverge, because dates, phone numbers, tax IDs, and addresses are stored differently across systems more often than not.
2. Assign an owner to every synced field
Work through the field list and mark which system wins on conflict. This is the decision from the ownership section applied field by field, and it becomes the rule set the integration enforces.
Any field left without an owner will eventually be overwritten by whichever system syncs last. That is how correct data gets replaced by stale data with nobody noticing.
3. Set data currency per flow
Decide how fresh each flow genuinely needs to be. Inventory levels may need to move every few minutes. A product catalog can move nightly. Customer master data usually sits somewhere between.
Over-syncing is the common mistake here. It consumes API capacity, adds load to both systems, and delivers no operational gain when the underlying data changes once a day.
4. Design the error path first
Every integration produces failed records. Decide in advance who receives the alert, what retries automatically, what queues for manual review, and how a partial sync avoids leaving orphaned records on one side.
The risk is not that errors happen. It is that they happen silently, and a rejected order reads as no order at all.
5. Assign post-launch ownership
Name the person who checks integration health, troubleshoots failed syncs, and approves changes when business requirements shift. Without that name, failed records accumulate unnoticed and small issues compound.
Scoping checklist
- Objects and fields: Documented on both sides, with format differences noted
- Field ownership: Every synced field has a defined master system
- Sync frequency: Set per flow, matched to how fast the data actually changes
- Error handling: Alert recipient, retry rules, and exception queue defined
- Post-launch owner: Named individual, with time allocated
Working through these before development turns the build into execution. Teams that skip straight to tooling usually end up rescoping mid-project, which is the expensive version of the same conversation. Our ERP consulting services engagements start here for exactly that reason.
How much does Salesforce ERP integration cost?
On our integration projects, a single pre-built connector typically runs $1,000 to $5,000 per integration. A custom API build runs $5,000 to $30,000. A standard ERP to Salesforce connection on middleware, covering design through testing, runs $10,000 to $40,000. Annual maintenance adds 15% to 20% of the implementation figure each year.
| What you are building | Typical cost | What it covers |
| Pre-built connector, per integration | $1,000 to $5,000 | Configuration, field mapping, testing on a standard object set |
| Custom API build, per integration | $5,000 to $30,000 | Design, development, error handling, testing for one connection |
| Standard ERP to Salesforce on middleware | $10,000 to $40,000 | Architecture, build, transformation logic, UAT across core objects |
| Custom build linking two systems | $20,000 to $60,000 | End-to-end build across both systems without a middleware layer |
| Middleware or iPaaS program, three or more systems | $40,000 to $150,000 | Reusable APIs, monitoring, governance across the connected estate |
| Enterprise multi-system program | $150,000 to $600,000 | Multiple ERP instances, real-time flows, full governance and audit |
| Each additional connected system | $10,000 to $50,000 | Mapping, testing, and monitoring for one more endpoint |
| Data migration | $5,000 to $60,000 | Extraction, cleansing, deduplication, mapping, validated load |
| Regulated data and security uplift | Adds 25% to 35% | Encryption, access controls, audit trails, compliance validation |
| Annual maintenance | 15% to 20% of implementation | Monitoring, error resolution, updates when either platform changes |
These figures cover the integration work itself. Salesforce integration cost is often quoted without them, so check whether a proposal includes licensing on either side and any middleware subscription. We budget those separately and say so upfront.
What drives the cost higher?
Six factors move a build toward the top of its band on the projects we deliver. Most of them are decisions made during scoping, which is why the scoping work pays for itself.
- Number of connected systems: Each additional system adds its own mapping, testing, and monitoring. The third connection is where point-to-point stops being the cheaper option.
- Data volume and migration scope: High record counts change the technical approach, and moving historical data adds $5,000 to $60,000 depending on how much cleansing and deduplication it needs before it can load.
- Custom business logic: Approval chains, tiered pricing rules, and conditional routing have to be built and tested rather than configured.
- Real-time requirements: Event-driven flows cost more than scheduled ones. They need queuing, retry handling, duplicate protection, and ordering logic that batch syncs avoid entirely.
- Regulated data: Encryption, role-based access, and audit trails add architecture work and validation time on both sides of the connection.
- Legacy system age: Older ERP platforms often lack modern APIs, which means building an access layer before any integration work can begin.
Disconnected systems carry their own running cost, and it is usually larger than the integration budget. Gartner puts the annual cost of poor data quality at around $12.9 million per organization, most of it accumulating quietly through duplicate records, manual reconciliation, and decisions made on numbers that do not agree.
Where a specific build lands inside these ranges comes down to how much of the work sits on the ERP side, which is the next thing worth understanding.
Why does most of the integration cost sit on the ERP side?
Cost concentrates on the ERP side because three things sit outside your control there: The data model, the API surface, and the upgrade cycle. Salesforce is configurable to your process. A packaged ERP holds a schema designed for a general case, and the integration absorbs the difference between that schema and your actual workflow.
That absorption is most of the build. Every field that does not map cleanly needs a transformation rule. Each identifier that does not match needs a cross-reference. Every aggregation level that differs needs logic to reconcile it. None of that work produces a feature. It exists to make two data models agree.
The three constraints and what each one costs
- A data model you cannot change: Fields land where the schema puts them, in the format the schema expects. Where your process needs a value the schema has no home for, you build a workaround and then maintain it.
- An API surface you cannot extend: You integrate against whatever endpoints exist. When the data you need is not exposed cleanly, the connection gets built around the gap through batch exports, staging tables, or scheduled pulls that add moving parts.
- An upgrade cycle you do not set: Version updates arrive on the vendor’s schedule. Mappings that worked can stop working, and regression testing after every upgrade becomes a permanent line item.
Add compliance to that picture and the cost moves again. Encryption, access controls, and audit trails applied to a system already in production are retrofit work. The regulated data uplift in the cost table reflects exactly that.
How a purpose-built ERP changes the arithmetic
When the ERP is built for the workflow it serves, the integration contract is a design input rather than a downstream problem. That changes four things:
| Cost element | Packaged suite | Purpose-built ERP |
| Field mapping | Transformation rules bridge two fixed schemas | Fields are defined to match how the data is used |
| API surface | Integrate against what exists | Endpoints designed for the syncs they serve |
| Field ownership | Negotiated after the fact across two systems | Settled at design time as an architecture decision |
| Compliance | Retrofit onto a running system | Architecture input from the first sprint |
| Upgrade impact | Regression testing on the vendor’s schedule | Changes made on your schedule, tested once |
Open-source platforms like Odoo sit between these two columns, since the schema is configurable even though the core is not yours. The scoping work in the earlier section does not disappear on a custom build. Objects still need documenting, frequencies still need setting, and error paths still need designing. What changes is that those decisions shape the ERP itself rather than being worked around inside the integration layer.
This is the case for treating an ERP build and its integrations as one project rather than two sequenced ones. It also applies to older systems already in production, where an ERP modernization effort can resolve the schema problem and the integration problem in the same piece of work.
Which ERP works best with Salesforce?
The fit depends on how much of your workflow a packaged suite already maps and how much custom logic sits between the two systems. Large enterprise suites connect reliably through middleware. Mid-market cloud suites often have connectors available. Purpose-built systems connect through endpoints designed for the sync. All four categories integrate successfully.
The question worth asking is not which platform connects most easily. It is which platform matches how your business actually operates, because that determines how much translation the integration layer has to perform for the life of the system.
| ERP approach | Who controls the schema | Effort after go-live | Best fit |
| Large enterprise suites (SAP, Oracle) | Vendor | High, tied to the vendor upgrade cycle | Global multi-entity operations with standardized processes |
| Mid-market cloud suites (Dynamics 365, Sage Intacct) | Vendor | Moderate, connector-dependent | Standard order and finance workflows |
| Open-source platforms (Odoo) | Shared, configurable | Moderate, self-managed | Cost-controlled builds needing module flexibility |
| Purpose-built ERP | You | Low, changes on your schedule | Workflows that carry commercial advantage and need to keep evolving |
Effort profile in that table refers to integration work, not platform quality. A heavier profile reflects data volume and business logic complexity rather than any weakness in the platform.
Two signals usually indicate a purpose-built system is worth evaluating. The first is a customization list that has grown long enough that upgrades require regression testing across dozens of modifications. The second is a workflow the business considers a competitive advantage, where reshaping it to fit a template removes the thing that made it valuable.
Neither signal appears in most businesses. Where they do appear, the integration cost is usually the visible symptom of a deeper mismatch, and solving it at the integration layer treats the symptom.
What does a Salesforce ERP integration architecture look like?
A working integration has six layers: The two source systems, an API surface on each side, a transformation layer that maps and reformats records, an orchestration layer that decides what moves and when, an error handling layer that catches failures, and the target objects where records land. Cost does not spread evenly across them.
Salesforce ERP integration architecture diagram: six layers, with cost concentrated in the API surface and error handling. Most teams budget for the middle layers and underestimate the two on either end. The transformation and orchestration work is visible during scoping, so it gets estimated. The API surface work and the error handling work surface later, once someone tries to pull a field that is not cleanly exposed or a batch fails at 2am with nobody assigned to notice.
What each layer does
- Source systems: Salesforce and the ERP, each holding the records the other needs. Neither changes during integration work.
- API surface: The endpoints each system exposes. Where the data you need is not available through a clean endpoint, this is where the build gets more expensive.
- Transformation and mapping: Field-level translation between the two data models. Date formats, identifier cross-references, currency handling, and aggregation from line-item to summary level.
- Orchestration: The rules governing what moves, in which direction, at what frequency, and in what order. Batch schedules, event triggers, and sequencing all live here.
- Error handling and monitoring: Failed record capture, retry logic, alerting, and the exception queue. The layer most often deferred and most often regretted.
- Target objects: Where records land on the receiving side. Accounts, products, orders, and forecast periods on the Salesforce side, customers and sales orders on the ERP side.
The two layers carrying the most cost are the two furthest from the business conversation. That is the practical reason integration estimates drift, and the reason a scoping pass that covers the API surface and the error path produces a number closer to the final one.
How long does ERP integration with Salesforce take?
On our projects a single one-directional data flow takes 3 to 6 weeks. A core bidirectional sync covering accounts, products, and orders runs 6 to 14 weeks, including error handling and testing. Multi-domain programs take 4 to 8 months. Timelines extend when data needs cleanup or when several ERP instances are involved.
| Scope | What we typically see | What is included |
| Single flow, one direction | 3 to 6 weeks | One data domain, one direction, no custom logic |
| Core bidirectional sync | 6 to 14 weeks | Accounts, products, orders both ways, error handling, UAT |
| Multi-domain program | 4 to 8 months | Reusable APIs, monitoring, governance, several domains |
| Multi-instance or multi-ERP | 8 to 14 months | Several ERP instances, consolidated identifiers and calendars |
These ranges assume the team has already settled the scoping decisions. Projects that begin development before the team agrees on field ownership and error handling usually spend the difference on rework.
What extends a timeline
- Data cleanup volume: Duplicate accounts, retired product codes, and inconsistent naming all have to be resolved before records can move. On older systems this alone can run longer than the build.
- Approval chains: Multi-step routing and conditional logic have to be built and tested rather than configured, and each variant needs its own test case.
- Legacy API constraints: Older ERP platforms may expose data through batch exports or database views rather than modern endpoints, which means building an access layer first.
- Non-calendar fiscal structures: A 4-4-5 or 13-period calendar has to be replicated exactly on the Salesforce side before any financial data can load into the right period.
- Multiple ERP instances: Separate divisions often run different systems with conflicting identifiers, currencies, and units. Reconciling them is a project in itself before the integration begins.
Timeline and cost move together on ERP Salesforce integration work. A standard middleware connection at $10,000 to $40,000 usually lands in the 6 to 14 week band, and the same factors that push it toward $40,000 push it toward 14 weeks.
What does it cost to maintain a Salesforce and ERP integration?
Ongoing maintenance runs 15% to 20% of implementation cost each year. That covers monitoring, resolving failed records, updating mappings when either platform changes, and expanding API capacity as volume grows. We treat it as a standing operational line, not an occasional repair budget.
How much does ongoing maintenance cost?
Budget 15% to 20% of implementation annually. On a $30,000 project that is $4,500 to $6,000 per year, split across three cost drivers.
| Driver | What it covers | Frequency |
| Platform releases | Regression testing when mappings break after an update | 3x yearly, Salesforce side |
| Business change | New products, regions, approval rules, reporting fields | Continuous, grows over time |
| Operational monitoring | Exception queue review, failed record resolution, alerting | Daily to weekly |
Business change is the one that grows. Platform releases and monitoring remain roughly flat year to year, while teams accumulate change requests as the workflow moves further away from the integration’s original design. That shifts the shape of the spend over a five-year window.
| Year | Typical activity | Relative cost |
| Year 1 | Stabilization, mapping corrections, monitoring tuning | Highest |
| Years 2 to 3 | Release testing, incremental additions | Steady |
| Years 4 to 5 | Accumulated change requests, possible re-architecture | Rising |
What happens when data volume grows?
Growing record counts hit governor limits before performance limits. Salesforce enforces daily API call allowances by edition and user count, and a sync sized for today’s volume can exceed them as the business scales.
- One call per record: Works at 1,000 records daily. Fails at 50,000.
- Bulk API: Handles large loads in batches. Design for it upfront rather than converting later.
- Frequency cost: A five-minute sync uses 12x the API capacity of an hourly one. For daily-changing data that buys nothing.
Who monitors the integration after launch?
One named person, with time allocated. Shared ownership across a team usually means nobody checks.
- Checks the exception queue: Failed records surface here or nowhere
- Responds to alerts: Failures are silent by default. A rejected order does not announce itself
- Approves changes: Requirements shift, and someone decides what the integration does about it
- Reconciles totals: Source against target, on a defined schedule
What breaks after an ERP and Salesforce integration goes live?
Five issues account for most post-launch problems: Mapping drift after platform updates, duplicate records where matching rules disagree, sync failures during high-volume periods, silent failures where a rejected record reads as no activity, and permission gaps when access models diverge. Each traces back to a design decision.
| What surfaces | Why it happens | What handles it at design time |
| Mapping drift | A platform update changes a field or endpoint behavior | Regression test suite tied to release cycles |
| Duplicate records | Matching rules differ across the two systems | Single matching key agreed before build, usually an external ID |
| Peak-period failures | Volume exceeds what the sync was sized for | Bulk operations and queuing designed for peak, not average |
| Silent failures | A rejected record leaves no trace in the target system | Exception queue plus alerting to a named recipient |
| Permission gaps | Access models were configured independently on each side | Role mapping defined during scoping, reviewed on both sides |
| Grain errors | Records load at the wrong aggregation level | Target record grain documented before development |
Two of these deserve extra attention.
- Silent failures are the expensive one: A missing order looks identical to an order that was never placed. The gap usually surfaces days later, when someone asks why a shipment never went out.
- Grain errors produce plausible numbers: Totals load successfully and reconcile to nothing. Reporting disagrees before anyone finds the cause.
Every row above resolves in the design phase at a fraction of what it costs to fix in production. Salesforce integration with ERP systems is mostly a design exercise, which is the practical argument for treating scoping as build work rather than paperwork.
Bringing it together
Salesforce ERP integration comes down to four decisions: How records move between the systems, which one owns each field, what the connection costs to build, and what it costs to keep running. Settle those during scoping and the build becomes execution, with a single source of truth for every field that matters. Skip them and they resurface later, when changes are more expensive. The mechanics are solvable, the costs are knowable, and the timeline follows the scope rather than the tooling.
The longer-term question is who controls the data model, because that determines how much translation the integration layer performs for the life of the system. Where the workflow is standard, that translation is a reasonable price to pay. Where the workflow is the business itself, building the ERP around it removes the translation entirely. If you are scoping an integration now, start with field ownership and the error path, then talk to our team about where the rest of it lands.
FAQs
1. Does Salesforce have its own ERP?
No. Salesforce is a CRM platform and does not sell a full ERP system. Some ERP products are built on the Salesforce platform by third-party vendors, and Salesforce Billing handles parts of the revenue cycle.
2. Is Salesforce an ERP or a CRM?
Salesforce is a CRM. It manages customer relationships, sales pipelines, and service interactions. An ERP manages finance, inventory, procurement, and fulfillment. The two systems hold different halves of the same transaction, which is why they are commonly integrated.
3. How can I integrate Salesforce with my ERP system?
Three methods: Point-to-point custom code, middleware or iPaaS platforms, and pre-built connectors. The right choice depends on how many systems you are connecting, how much custom logic sits between them, and who will maintain the connection after launch.
4. Is ERP outdated?
No. ERP systems still run finance, inventory, and fulfillment for most businesses. What has changed is deployment and architecture. Cloud and purpose-built systems now offer API surfaces designed for integration, which older on-premise platforms were never built to provide.
5. How much does Salesforce ERP integration cost?
A standard ERP-to-Salesforce connection on middleware runs $10,000 to $40,000. Pre-built connectors sit lower at $1,000 to $5,000. Multi-system programs reach $150,000 or more. Cost is driven by connected systems, data volume, and custom logic.
6. How long does a Salesforce ERP integration take?
A core bidirectional sync covering accounts, products, and orders runs 6 to 14 weeks on our projects, including error handling and testing. Single one-directional flows finish in 3 to 6 weeks. Multi-domain programs take 4 to 8 months.
7. Which system should own customer data after integration?
It depends on the field. The ERP usually owns credit limits, payment terms, and billing addresses. Salesforce usually owns contact details, opportunity stage, and communication history. Every synced field needs a defined owner before development starts.
8. Should data sync in real time or in batches?
Match the frequency to how fast the data changes. Inventory levels often need near real-time sync. Product catalogs and financial summaries work fine on a nightly batch. Over-syncing consumes API capacity without operational benefit.
9. What happens to the integration when either system upgrades?
Mappings can break. Salesforce ships releases three times a year and ERP vendors run their own cycles. Regression testing after major releases is standard practice, and the effort belongs in the annual maintenance budget.
10. What needs monitoring after the integration goes live?
The exception queue, alert responses, and reconciliation against source totals. Failed records are silent by default, so one named person needs responsibility for checking integration health and resolving failures before they compound.
11. Which integration approach fits a custom ERP?
A contract-first API designed for the syncs it serves. When the ERP is built alongside the integration requirement, endpoints match the data flows and field ownership is settled at design time, which removes most transformation work.
How we Work
