CRM migration

Migrate from Sercom to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between Sercom and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

Sercom logo

Sercom

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

90%

9 of 10

objects map 1:1 between Sercom and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Sercom serves field service operations with a vertically-oriented data model built around service tickets, technician dispatch, and asset tracking. Salesforce Sales Cloud uses the Account–Contact–Opportunity object graph with extensibility through custom objects and fields. The migration carries Sercom's core records — service accounts, contacts, work orders, assets, and activity history — into Salesforce's schema while surfacing what cannot auto-migrate: dispatch rules, service territory boundaries, contract SLA terms, and field-service-specific workflows. Those must be rebuilt using Salesforce Flow, Field Service Lightning, or a combination of both. FlitStack AI uses Salesforce Bulk API 2.0 for high-volume record loads and the REST API for related-object insertion, running a sample migration with field-level diff before committing to the full dataset. A 24–48 hour delta-pickup window captures any records modified during the cutover window.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Sercom logo

Sercom

What's pushing teams away

  • Limited public documentation and community resources make troubleshooting and onboarding more difficult without vendor dependency.
  • Smaller market footprint compared to established FSM platforms, leading some teams to seek solutions with larger ecosystems and third-party support.
  • Sparse review activity and limited third-party app marketplace reduce confidence in long-term platform extensibility.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Sercom objects map to Salesforce Sales Cloud

Each row shows how a Sercom object lands in Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Sercom

Service Account

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Sercom service accounts map directly to Salesforce Account records. Billing address, shipping address, and account type fields align by name. Multi-location accounts in Sercom collapse to one Account with Shipping Addresses populated per location, or split into child Accounts under a parent.

Sercom

Contact

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Direct map. Sercom contacts without a primary account attach to a default Salesforce Account record. Primary contact roles on accounts map to Salesforce Contact roles. Mobile phone and direct dial fields land in Phone and MobilePhone respectively. Unmatched contacts appear in a pre-migration exception report.

Sercom

Technician / Staff

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Sercom technician records map to Salesforce User objects. Matching happens by email address — if a Sercom technician has no email or the email does not match a Salesforce User, the record is flagged for your admin to resolve before migration commits. Active/inactive status maps to Salesforce User.IsActive.

Sercom

Work Order

maps to

Salesforce Sales Cloud

Case + Custom Object (Work_Order__c)

many:1
Fully supported

Sercom work orders carry too much field-service-specific data to map cleanly to a single Salesforce object. We create a Case record for the service interaction (status, priority, origin) and a Work_Order__c custom object for Sercom-specific fields: service type, parts used, labor hours, and resolution code. Both link back to the Account.

Sercom

Asset / Equipment

maps to

Salesforce Sales Cloud

Asset

1:1
Fully supported

Sercom asset records map to Salesforce Asset by serial number and product reference. InstallDate, Status, and UsageEndDate carry over. Asset's AccountId links to the corresponding migrated Service Account. Maintenance history from Sercom becomes custom Activity records on the Asset.

Sercom

Service Visit / Activity Log

maps to

Salesforce Sales Cloud

Task / Event

1:1
Fully supported

Sercom visit records and service call logs migrate as Salesforce Tasks with Type = 'Service Visit'. Original timestamps, technician owner (mapped to User), and parent Account/Asset references are preserved. Duration and outcome fields map to custom fields on the Task.

Sercom

Parts Used

maps to

Salesforce Sales Cloud

Custom Object (Parts_Used__c)

1:1
Fully supported

Salesforce has no native parts-tracking object. We create a Parts_Used__c custom object linked to Work_Order__c, storing part number, quantity, unit cost, and total cost. Product2 lookup connects to your Salesforce Product catalog if it exists. Custom fields capture serial numbers and warranty status.

Sercom

Contract / SLA Terms

maps to

Salesforce Sales Cloud

Contract + Entitlement

1:1
Fully supported

Sercom contract data migrates as Salesforce Contract records (account link, start/end dates, status). SLA thresholds and milestone definitions must be rebuilt as Salesforce Entitlement Processes — we preserve the raw contract terms as a custom long-text field for reference during configuration.

Sercom

Service Territory

maps to

Salesforce Sales Cloud

Custom Object (Service_Territory__c)

1:1
Fully supported

Salesforce Field Service Lightning uses Territory2 objects for scheduling optimization, but those require Salesforce Scheduler setup. We migrate Sercom territory definitions as a custom Service_Territory__c object with zip-code ranges and assigned technicians for reference; your admin wires these to Field Service Lightning territories during configuration.

Sercom

Custom Fields (generic)

maps to

Salesforce Sales Cloud

Custom Fields (__c)

1:1
Fully supported

Sercom custom fields per entity translate to Salesforce custom fields on the mapped object. Field types are inferred from Sercom data (text → Text, number → Number, date → Date). Pick-list values in Sercom require value-by-value mapping to Salesforce pick-list options on the corresponding custom field.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Sercom logo

Sercom gotchas

High

No public Sercom migration documentation or API reference

Medium

Custom field schema is entirely tenant-defined

Medium

Historical Work Order records may lack referential integrity

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Field Service Lightning territories require separate configuration

    Sercom service territories defined by zip-code ranges, service areas, or geographic zones have no direct Salesforce equivalent. Salesforce Scheduler uses Territory2 objects for optimization, but those require explicit setup in Field Service Lightning. We migrate Sercom territory definitions as a custom Service_Territory__c object with location data for reference — your admin wires these to Field Service Lightning territory objects during post-migration configuration. This is a manual step that affects scheduling automation but does not block data from landing.

  • Work-order-to-Case split creates a two-object record pair

    Sercom work orders carry too much field-service-specific data — service type, labor hours, parts used, resolution codes — to fit inside a single Salesforce Case record. We split each work order into a Case (for Salesforce's native case management UI and escalation workflows) and a Work_Order__c custom object linked to the Case. Reports that reference work order data must query the custom object, not Case fields. Your Salesforce admin should build list views and report types that include Work_Order__c before go-live.

  • Technician-to-User matching by email can leave orphan work orders

    Sercom technicians may lack email addresses in the system, or their email addresses may not match Salesforce User emails exactly due to typos, domain changes, or missing entries. We match by email as the primary key and flag unmatched technicians before migration commits. Any work order with an unresolved technician owner lands with the fallback owner you designate. Review the unmatched-technician report before migration commits to avoid orphaned records.

  • SLA terms and entitlement milestones do not auto-migrate

    Sercom contract SLA thresholds — first-response time, resolution time, escalation triggers — exist as data but carry workflow semantics. Salesforce Entitlement Processes and Milestones evaluate these at runtime against Case timestamps. We migrate contract terms as data only (Contract record + SLA terms in a custom text field). Your admin must build the Entitlement Process in Salesforce that reads those terms. Without it, SLA compliance tracking is inactive even though the data is present.

  • Parts-used data lands in a custom object, not Opportunity Product Lines

    Sercom tracks parts consumed per work order as line items with part numbers, quantities, and costs. Salesforce has no native parts-tracking object on Cases or Assets. We create a Parts_Used__c custom object linked to Work_Order__c for this data. If you want parts cost reflected in Opportunity revenue, that math must be done in a Flow or custom component — Salesforce does not roll up Parts_Used__c costs to the related Opportunity automatically.

Migration approach

Six steps for a successful Sercom to Salesforce Sales Cloud data migration

  1. Discover Sercom schema and map to Salesforce objects

    FlitStack AI inspects your Sercom instance via API to enumerate all objects, custom fields, and relationships. We cross-reference against Salesforce's standard objects and flag any custom object creation requirements. The output is a field-level mapping document that your team reviews and approves before any data moves. This step also identifies technician records with missing or non-matching email addresses for resolution.

  2. Create Salesforce custom objects and fields

    Before records land, FlitStack AI creates Work_Order__c, Parts_Used__c, Service_Territory__c, and any other custom objects identified in the discovery phase. Custom fields on standard objects (Account, Contact, Case, Asset, Task) are also deployed. Your Salesforce admin reviews the setup plan, approves field types and pick-list values, and scopes record types and page layouts to your business units.

  3. Resolve users and designate fallback owners

    Sercom technicians are matched to Salesforce Users by email. Unmatched technicians appear in a pre-migration report listing their email addresses and Sercom IDs. Your team either creates Salesforce Users for them before migration or designates a fallback owner. No work order or service activity migrates without a resolved OwnerId — this prevents orphan records in Salesforce.

  4. Run sample migration with field-level diff

    A representative slice of records — typically 200–500 covering accounts, contacts, work orders, assets, and activities — migrates into your Salesforce sandbox first. We generate a field-level diff comparing source values to destination field values, flagging any truncation, pick-list mismatches, or lookup failures. You review and sign off on the sample before we proceed to the full migration.

  5. Execute full migration with delta-pickup window

    The full dataset migrates using Salesforce Bulk API 2.0 for high-volume record loads and REST API for related-object inserts. A 24–48 hour delta-pickup window after the cutover captures any records modified in Sercom during migration. Audit logs record every operation, and if reconciliation fails, one-click rollback reverts the target org to its pre-migration state.

  6. Post-migration: verify, rebuild automations, train users

    After migration, FlitStack AI delivers a reconciliation report comparing record counts and field-value distributions between Sercom and Salesforce. Your admin then rebuilds Sercom workflows and dispatch rules as Salesforce Flow or Field Service Lightning automation — we export your workflow definitions as a reference document. Finally, your team runs user acceptance testing and training before switching Sercom to read-only or decommissioning it.

Platform deep dives

Context on both ends of the pair

Sercom logo

Sercom

Source

Strengths

  • Custom workflow and field-level configuration across service objects.
  • Purpose-built field service management focus rather than a repurposed CRM.
  • Direct integration pathways for service dispatch and technician scheduling.

Weaknesses

  • Minimal public-facing technical documentation and no published API reference.
  • Very limited third-party app ecosystem and community resources.
  • No independently verifiable pricing, SLA terms, or feature documentation in public sources.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Sercom and Salesforce Sales Cloud.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Sercom: Not publicly documented — typical SaaS limits assumed and confirmed during scoping.

  • Data volume sensitivity

    B

    Sercom doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Sercom to Salesforce Sales Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Sercom to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Sercom to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most Sercom-to-Salesforce migrations complete in 48–72 hours of clock time for under 50,000 records including work orders, assets, and activities. Larger setups with 200,000+ records, extensive asset histories, or complex territory structures extend to 7–14 days. The discovery and mapping phase typically adds 3–5 business days before migration begins. Salesforce custom object creation and technician resolution are the longest planning steps.

Adjacent paths

Related migrations to explore

Ready when you are

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