CRM migration

Migrate from FRONTU to Salesforce Sales Cloud

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

FRONTU logo

FRONTU

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

100%

13 of 13

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

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Frontu models field service operations around work orders, customers, technicians, and site locations. Salesforce Sales Cloud is a CRM built around Accounts, Contacts, and Cases, with field-service capabilities added through Field Service Lightning. The migration maps Frontu's task-centric data model to Salesforce's Account-Contact-Case hierarchy, translating FSM-specific concepts like scheduling windows, route assignments, and multi-day job tracking into custom fields and related records. FlitStack AI carries over work orders, customers, employees, attachments, and all custom Frontu properties. What does not migrate: route-optimization algorithms (requires Salesforce Maps or a similar add-on), FSM-specific workflow automations (must be rebuilt in Salesforce Flow), and Frontu's per-seat service-license model (Salesforce charges per User + Field Service Lightning add-on). We run scoped read access against the Frontu API, extract via paginated REST endpoints, transform through a staging layer, and load into Salesforce via Bulk API — with a delta-pickup window capturing any records modified during cutover.

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

FRONTU logo

FRONTU

What's pushing teams away

  • Smaller partner ecosystem and fewer third-party integrations compared to enterprise FSM platforms means organizations with complex ERP or CRM needs eventually outgrow the available connectors.
  • Pricing opacity and minimum seat requirements on higher tiers make it difficult for smaller organizations to budget predictably as they scale their field operations.
  • Limited advanced reporting and analytics features mean organizations seeking deep operational intelligence often migrate to platforms with built-in BI dashboards.

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 FRONTU objects map to Salesforce Sales Cloud

Each row shows how a FRONTU 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.

FRONTU

Work Order / Task

maps to

Salesforce Sales Cloud

Case

1:1
Fully supported

Frontu work orders map directly to Salesforce Cases. The Case Status pick-list in Salesforce maps to Frontu's task status values — each status translation is validated value-by-value. Original creation timestamps and last-modified dates are preserved in Salesforce's native CreatedDate and LastModifiedDate fields. Multi-day job flag and duration are stored in custom fields since Salesforce Cases do not have a native multi-day span attribute.

FRONTU

Customer

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Frontu customer records with a company name map to Salesforce Accounts. The Account Name, website, industry, phone, and billing address fields translate directly. Frontu customer records without a company name are flagged for review — these may map to individual Accounts or to Contacts without an Account association depending on your Salesforce configuration preference.

FRONTU

Customer contact

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Named contacts on Frontu customers map to Salesforce Contacts under the corresponding Account. The Contact's name, email, phone, title, and mailing address translate field-for-field. If a Frontu customer has multiple contact persons, each maps to a separate Contact record linked to the same AccountId.

FRONTU

Employee / Technician

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Frontu employees are translated to Salesforce Users so they appear as Case owners and service resources. Email-based matching is the primary resolution key — if a matching Salesforce User exists by email, the Frontu employee record links to it; if not, the record is flagged before migration and your admin either invites the person to Salesforce or reassigns their records to a fallback owner. Salesforce Field Service Lightning licensing is required for mobile technician scheduling beyond basic case ownership.

FRONTU

Site / Location

maps to

Salesforce Sales Cloud

Custom Object (Service_Site__c)

1:1
Fully supported

Frontu site and location records map to a custom Service_Site__c object in Salesforce, linked to the parent Account via a lookup relationship. Address fields, site name, and site-specific notes translate directly. If your Salesforce edition does not support custom objects, site records can be stored as a custom field on Account, though this limits multi-site-per-customer reporting flexibility.

FRONTU

Attachment / Photo

maps to

Salesforce Sales Cloud

ContentDocument / Salesforce Files

1:1
Fully supported

Photos and documents attached to Frontu work orders and customers are downloaded from Frontu's storage, then re-uploaded to Salesforce as Salesforce Files attached to the corresponding Case or Account record. File size limit in Salesforce is 25MB per file — files exceeding this threshold are flagged for splitting or alternative handling before migration.

FRONTU

Custom Property on Work Order

maps to

Salesforce Sales Cloud

Custom Field (Case)

1:1
Fully supported

Frontu custom properties on work orders map to Salesforce custom fields on the Case object using the __c suffix naming convention. Each custom property's data type in Frontu (text, number, pick-list, date, currency) is mapped to the closest Salesforce field type. Pick-list custom properties require value-by-value mapping if the destination pick-list values differ from Frontu's values.

FRONTU

Custom Property on Customer

maps to

Salesforce Sales Cloud

Custom Field (Account / Contact)

1:1
Fully supported

Frontu custom properties on customers translate to Salesforce custom fields on Account or Contact depending on whether the property applies at the company level or the person level. Custom fields are created in Salesforce before migration using the __c suffix, then populated during the load phase. Pick-list values require explicit value mapping against the Salesforce field.

FRONTU

Time Entry / Activity Log

maps to

Salesforce Sales Cloud

Task / Event

1:1
Fully supported

Frontu time tracking records and activity logs map to Salesforce Tasks (for discrete time entries) or Events (for scheduled blocks). Original timestamps, duration, and technician assignment are preserved as custom fields on the Task or Event. If Frontu logs billable hours as a currency field, that maps to a custom Number field on the Task record.

FRONTU

Service Type / Category

maps to

Salesforce Sales Cloud

Custom Pick-list Field (Case)

1:1
Fully supported

Frontu service types and work order categories map to a custom pick-list field on Case (Service_Type__c). If Frontu's category values differ from your desired Salesforce pick-list values, a value-mapping table is applied during migration. Pick-list values are created in Salesforce before the migration run and validated against source data completeness.

FRONTU

Skill / Certification

maps to

Salesforce Sales Cloud

Custom Pick-list Field (Case or User)

1:1
Fully supported

Frontu technician skills and certifications translate to a custom pick-list on Case (Required_Skill__c) so work orders can indicate needed qualifications. If Salesforce Field Service Lightning is active, skills also map to ResourceSkill objects via the FSL data model. Without FSL, a custom pick-list on the User record (Technician_Skills__c) is the practical equivalent.

FRONTU

Route / Sequence Data

maps to

Salesforce Sales Cloud

Custom Text Field (Case)

1:1
Fully supported

Frontu's native route-optimization data does not have a direct Salesforce equivalent. Route assignment order and optimization flags are stored as a custom text field (Route_Data__c) on the Case record for reference. Full route planning and optimization must be rebuilt using Salesforce Maps, MapAnything, or a similar geospatial add-on after migration — we flag this in the post-migration handoff plan.

FRONTU

Parts Used

maps to

Salesforce Sales Cloud

Custom Text Field (Case) + Product2

1:1
Fully supported

Frontu parts-used records map to a custom text field on Case (Parts_Used__c) storing a comma-separated list for reference. If a structured product catalog exists in Frontu, those items can map to Salesforce Product2 records linked via Opportunity Products or Case Products — we assess this during the discovery phase and configure based on your Parts management needs.

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.

FRONTU logo

FRONTU gotchas

High

No publicly documented public API for bulk data export

Medium

Custom fields are per-organization with no standard schema

Medium

Tasker legacy data from pre-2021 may use different object names

Medium

Billing and invoicing data may exist outside Frontu

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

  • Route optimization and scheduling data have no Salesforce native equivalent

    Frontu's route-optimization algorithms and daily dispatch-sequence data do not map to any standard Salesforce object. FlitStack AI preserves route assignment order and optimization flags as custom text fields on the Case record for reference, but the actual route planning and optimization logic must be rebuilt in Salesforce Maps, MapAnything, or a comparable geospatial add-on. Teams should budget for this rebuild separately and treat it as a post-migration configuration project rather than a data-migration deliverable. Scheduling windows and multi-day job data require custom datetime fields on Case since Salesforce does not have native multi-day span support.

  • Technician-to-User licensing requires Field Service Lightning for mobile scheduling

    Frontu's per-seat pricing bundles technician, dispatcher, and admin access without separate licensing tiers. Salesforce separates these: a standard Salesforce User license is required for Case ownership, but mobile scheduling, capacity management, and work-order dispatch require Salesforce Field Service Lightning at an additional per-user cost. FlitStack AI resolves Frontu employee records to Salesforce Users by email — if Field Service Lightning is not active in your org, technician scheduling data still migrates as custom fields and the scheduling UI defaults to Salesforce's standard layout. We flag the FSL gap during discovery so your team can evaluate the licensing decision before data lands.

  • Work order multi-day jobs require custom date-span fields on Case

    Frontu supports multi-day work orders with start and end dates spanning multiple calendar days. Salesforce Case does not have a native end-date field — the standard CloseDate field applies to case resolution, not job span. FlitStack AI stores Frontu's multi-day job start date, end date, and duration in custom datetime fields (Multi_Day_Start__c, Multi_Day_End__c, Job_Duration_Days__c) so that reporting on multi-day jobs is possible in Salesforce. Your admin should add these fields to the appropriate Case page layouts before migration validation runs.

  • API pagination limits and deleted-record handling in Frontu exports

    Frontu's REST API returns paginated results, and deleted records are not included in standard API responses by default. FlitStack AI handles pagination loops during extraction and checks for soft-delete or archive endpoints if available. If your Frontu plan exposes a recycle-bin or deleted-records API, we include those records for completeness. If not, permanently deleted Frontu records are not recoverable through the API and will not appear in the migration set — we document this limitation in the pre-migration data audit report so your team can assess whether any critical records have been permanently removed.

  • File attachments exceed Salesforce's 25MB per-file limit

    Photos, signed forms, and documents attached to Frontu work orders may exceed Salesforce's 25MB per-file attachment limit. FlitStack AI flags files over 20MB during extraction so they can be reviewed before the migration load. Options include splitting large files into smaller chunks before upload, storing oversized files in an external document store with a link stored in Salesforce, or using Salesforce Files with chunked uploads. We surface the complete list of oversized files in the pre-migration audit and agree on a handling strategy before the full migration run commits.

Migration approach

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

  1. Stand up Salesforce schema first

    Before any data moves, FlitStack AI generates a schema setup plan based on your Frontu configuration: custom properties on work orders and customers, service-type pick-list values, multi-day job fields, and site-location structure. Your Salesforce admin (or our team) creates the custom fields on Case, Account, Contact, and User — plus the Service_Site__c custom object if multi-site-per-customer reporting is required. We deliver a pre-flight checklist confirming every destination field exists and every pick-list value is populated before the first record is loaded.

  2. Resolve Frontu employees to Salesforce Users by email

    Frontu employee records are matched against Salesforce Users by email address — the primary resolution key for owner and technician assignment. Employees without a matching Salesforce User are flagged in a pre-migration report. Your team decides whether to invite them as Salesforce Users (and evaluate Field Service Lightning licensing) or assign their cases to a fallback owner before migration. No work order lands in Salesforce without a resolved OwnerId.

  3. Migrate Account-Contact hierarchy before Cases

    Salesforce enforces referential integrity — Cases require a valid AccountId, and Contacts require a valid AccountId. FlitStack AI sequences the migration so Account records load first (with source IDs preserved for later lookup), then Contact records resolve their AccountId lookups, then Work Orders resolve both AccountId and OwnerId lookups before loading as Cases. This dependency chain prevents foreign-key violations and eliminates partial-record loads. Site records load after Accounts and link via a custom AccountId field.

  4. Run a sample migration with field-level diff

    A representative slice — typically 100–500 records covering a range of work order statuses, priority levels, customer types, and attachment sizes — migrates first. FlitStack AI generates a field-level diff report comparing source values against destination field values for every mapped property. Your team verifies status-to-Casestatus mapping, technician-to-OwnerId resolution, multi-day field population, and attachment re-upload. Custom property mapping is validated against actual values before the full run commits.

  5. Cut over with delta-pickup window for in-flight records

    The full migration loads all validated records into Salesforce via Bulk API, respecting Salesforce API rate limits by pacing batch sizes and retrying on throttled requests. A delta-pickup window — typically 24–48 hours — captures any work orders created or status changes made in Frontu during the cutover. FlitStack AI audit log records every operation (insert, update, skip) with source and destination record IDs. One-click rollback reverts the Salesforce org to its pre-migration state if reconciliation fails. Post-migration, we deliver a data quality report showing record counts, attachment counts, and unresolved records requiring manual resolution.

Platform deep dives

Context on both ends of the pair

FRONTU logo

FRONTU

Source

Strengths

  • Task scheduling and dispatch with real-time mobile sync for field technicians across multiple languages and 16+ countries.
  • Equipment and asset management natively structured for heavy machinery sectors like farming, construction, and forestry.
  • Workforce management combining employee scheduling, time tracking, and route planning in a single mobile app.
  • G2-recognized user experience with #1 User Friendly FSM rating indicating accessible interface for field teams.
  • Acquired by Everfield (2024) signaling continued investment and European market expansion.

Weaknesses

  • Smaller third-party integration ecosystem compared to enterprise FSM competitors, limiting connectivity to specialized ERP or CRM systems.
  • Limited publicly documented API for bulk data export, making self-service migration more complex without specialist tooling.
  • Analytics and reporting features are basic, which may drive organizations with advanced BI requirements to seek alternatives.
  • Pricing model has limited public transparency with minimum seat thresholds and tier-specific feature gating not clearly published.
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 FRONTU 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

    FRONTU: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your FRONTU 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 FRONTU to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during FRONTU 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 Frontu-to-Salesforce migrations complete within 48–72 hours of clock time for under 50,000 total records (work orders, customers, employees, attachments). Large migrations exceeding 100,000 records or involving extensive custom properties, multi-site customer hierarchies, and time-entry history extend to 5–10 days. The longest single step is typically the sample migration with field-level validation — getting the Case status mapping and technician-to-User resolution correct before committing to the full load.

Adjacent paths

Related migrations to explore

Ready when you are

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