CRM migration

Migrate from FieldAware by GPS Insight to Salesforce Sales Cloud

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

FieldAware by GPS Insight logo

FieldAware by GPS Insight

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

100%

14 of 14

objects map 1:1 between FieldAware by GPS Insight and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

3–5 days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

FieldAware by GPS Insight is a field-service management platform centered on Jobs, Customers, Locations, Assets, and Invoices. Salesforce Sales Cloud is a CRM centered on Accounts, Contacts, Cases, and Opportunities. The two platforms use fundamentally different data models, and this migration requires explicit mapping for every object and field rather than a direct import. We export FieldAware data via the REST API and Bulk API, map Jobs to Salesforce Cases as the service-work equivalent, preserve custom field declarations on each entity, and sequence the migration so foreign keys resolve correctly — Accounts first, then Contacts and Assets, then Cases with full history, then custom objects. FieldAware workflows, scheduling rules, dispatch triggers, and notification templates do not migrate because they depend on FSM-specific logic that has no direct equivalent in Salesforce's Flow engine. Those automations must be rebuilt manually in Salesforce or handled by a third-party FSM product. FlitStack AI migrates data and schema only — activity history, attachments, custom fields, and ownership assignments all transfer, but billing logic and scheduling optimization require destination-side configuration.

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

FieldAware by GPS Insight logo

FieldAware by GPS Insight

What's pushing teams away

  • Support fragmentation where multiple agents respond to a single ticket asking redundant questions creates confusion and delays resolution, especially for billing or refund issues.
  • Refund processing workflow is widely reported as confusing and error-prone, requiring detailed knowledge of job status to route correctly, which frustrates accounting staff.
  • Mobile app syncing problems and occasional data loss during orientation changes or typing on Android devices cause technicians to lose completed job data.
  • Limited automatic customer text alerts and poor secondary technician job visibility on active work orders create communication gaps on multi-tech jobs.
  • Advanced customizations and deeper configuration options often require vendor assistance rather than self-service within the platform.

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 FieldAware by GPS Insight objects map to Salesforce Sales Cloud

Each row shows how a FieldAware by GPS Insight 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.

FieldAware by GPS Insight

Customer

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

FieldAware Customers map to Salesforce Accounts. The primary company name becomes Account.Name, the website maps to Account.Website, and the industry field maps to Account.Industry with explicit pick‑list value mapping. The primary billing contact is created as a separate Contact linked to the Account via AccountId, preserving the contact’s email, phone, and title. The original FieldAware customer ID is stored as Source_System_ID__c for traceability.

FieldAware by GPS Insight

Job

maps to

Salesforce Sales Cloud

Case

1:1
Fully supported

FieldAware Jobs are the core FSM record and map to Salesforce Cases as the service-work equivalent. Job status (Open, Scheduled, In Progress, Completed, Cancelled) maps to Case Status via explicit value mapping. Job type (Repair, Maintenance, Installation, Inspection) maps to Case Type. Original job number preserved as Case.CaseNumber or custom field.

FieldAware by GPS Insight

Location

maps to

Salesforce Sales Cloud

Account (address fields) or custom Location__c

1:1
Fully supported

FieldAware Locations represent service sites tied to a Customer. In Salesforce, Locations become Account address records or a custom Location__c junction object — chosen during schema design based on your reporting requirements. If you use Salesforce Field Service, we map Locations to the native Location object with full address and contact details.

FieldAware by GPS Insight

Contact

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

FieldAware Contacts migrate directly to Salesforce Contacts. Email is the unique identifier for deduplication and link resolution. Each Contact receives an AccountId lookup to the parent Account created from the FieldAware Customer. Phone, job title, and address fields map directly to Salesforce Contact equivalents.

FieldAware by GPS Insight

Asset

maps to

Salesforce Sales Cloud

Asset

1:1
Fully supported

FieldAware Assets migrate to Salesforce Assets. SerialNumber, InstallDate, Status, and description map directly, with Status values aligned via pick‑list mapping. Each Asset receives an AccountId lookup to the parent Account from the FieldAware Customer. Custom properties declared in FieldAware — such as warranty type, service interval, or location reference — migrate as custom fields on the Salesforce Asset object. The original asset ID is stored as Source_System_ID__c for traceability.

FieldAware by GPS Insight

Invoice

maps to

Salesforce Sales Cloud

Custom Invoice__c object

1:1
Fully supported

Salesforce Sales Cloud has no native invoice object in most editions. We create a custom Invoice__c object with fields for invoice number, date, due date, total amount, status, and line items. The FieldAware invoice ID is preserved as Source_System_ID__c for traceability. Salesforce Revenue Cloud handles native billing for organizations that need it post-migration.

FieldAware by GPS Insight

Quote

maps to

Salesforce Sales Cloud

Opportunity or custom Quote__c object

1:1
Fully supported

FieldAware Quotes map to Salesforce Opportunities as the sales-work equivalent, with a custom Quote__c field for detailed line-item information. Quote number, status, description, expiration date, and total amount all migrate. Line items become custom Quote_Line_Item__c records or Opportunity Products depending on your Salesforce configuration.

FieldAware by GPS Insight

Task

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

FieldAware Tasks migrate directly to Salesforce Tasks. Subject, Description, and DueDate map to their Salesforce equivalents, with DueDate stored as ActivityDate. Task Status is aligned via pick‑list mapping to the Salesforce Task Status values. The task owner is resolved by matching the FieldAware user email to a Salesforce User record; unmatched owners are flagged for fallback assignment. The original FieldAware task ID is preserved as Source_System_ID__c to support delta‑run deduplication.

FieldAware by GPS Insight

Item

maps to

Salesforce Sales Cloud

Product2

1:1
Fully supported

FieldAware Items (parts, materials, services) migrate to Salesforce Products. Item name, part number, description, and unit price all map directly to Product2.Name, ProductCode, Description, and UnitPrice. Category or item type maps to Product2.Family. Items are inserted into the Standard Pricebook via PricebookEntry records.

FieldAware by GPS Insight

Custom Field (Job, Invoice, Asset, Customer, Contact, Location, Task, Item)

maps to

Salesforce Sales Cloud

Custom Field on corresponding Salesforce object

1:1
Fully supported

FieldAware custom field declarations — text, number, checkbox, dropdown, date, time — map to custom fields on their Salesforce object equivalents. Dropdown pick‑list values must be created in Salesforce before migration so field validation passes. We create the Salesforce custom field declarations during the schema setup phase; you choose which custom fields to migrate versus archive.

FieldAware by GPS Insight

User / Technician

maps to

Salesforce Sales Cloud

User (lookup by email)

1:1
Fully supported

FieldAware users and technicians are resolved by email match against Salesforce User records. Unmatched users are flagged before migration — your team either provisions Salesforce User accounts first or assigns their records to a fallback owner. Technician scheduling status from FieldAware migrates as a custom field on the Case.

FieldAware by GPS Insight

Job Status / Type Change History

maps to

Salesforce Sales Cloud

Custom Case audit fields

1:1
Fully supported

FieldAware preserves job status and type change logs as part of the job record. Salesforce Case History tracking has field-count limitations, so we migrate this as custom datetime and text fields on the Case object — Status_Changed_To__c, Type_Changed_To__c — to preserve the full audit trail for service-history reporting.

FieldAware by GPS Insight

Job Number

maps to

Salesforce Sales Cloud

Case.CaseNumber or custom Job_Number__c

1:1
Fully supported

FieldAware job numbers are preserved as Salesforce Case CaseNumber for cross-system traceability. If your Salesforce org uses auto-number CaseNumber format, we use a custom Job_Number__c text field instead. This ensures service tickets can be cross-referenced without requiring a custom join.

FieldAware by GPS Insight

Location Hierarchy (nested Locations)

maps to

Salesforce Sales Cloud

Account hierarchy or custom Location_Junction__c

1:1
Fully supported

FieldAware supports nested location hierarchies where a customer has parent and child service sites. In Salesforce, nested locations require either Account hierarchy using Parent AccountId or a custom Location_Junction__c object. We choose based on your reporting structure during the schema design phase.

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.

FieldAware by GPS Insight logo

FieldAware by GPS Insight gotchas

High

User tier cap misalignment at migration time

Medium

Custom field format type immutability

Medium

API rate limits are not publicly documented

Medium

Asset-to-Job linkage reconstruction

Low

FieldAware brand transition to GPS Insight

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

  • Job-to-Case mapping requires explicit pick-list value mapping

    FieldAware job status values (Open, Scheduled, In Progress, Completed, Cancelled) and job type values (Repair, Maintenance, Installation, Inspection) do not automatically match Salesforce Case Status and Type pick-lists. Salesforce record types drive page layouts, available pick-list values, and Flow entry criteria — so every pick-list value requires explicit value mapping before migration. Without this, Jobs may fail validation on import or land in incorrect record types. We deliver the pick-list mapping plan before migration commits and you confirm the value mappings in your Salesforce org during schema setup.

  • Location handling requires explicit schema decision before migration

    FieldAware's Location entity supports one Customer with multiple service sites — each with its own address, contact, and scheduling notes. Salesforce Accounts have a single address by default. Without Salesforce Field Service, there is no native Location object, so you must choose between storing all location addresses on a single Account record (collapsing multi-site to one address), creating separate Account records per location (increasing your Account count and requiring a naming convention), or building a custom Location__c junction object with AccountId and address fields. We document this choice in the migration plan and adjust all field mapping accordingly — changing this after migration requires data rework.

  • Invoices migrate as a custom object — Salesforce has no native invoice object

    Salesforce Sales Cloud has no native invoice object in most editions. FieldAware invoice records — invoice number, date, due date, total amount, status, and line items — must migrate as a custom Invoice__c object with custom fields. Salesforce Revenue Cloud provides native billing but requires separate licensing and configuration. We create the Invoice__c object and all custom fields during the schema setup phase, but the object will appear in Salesforce Setup as a custom object rather than a standard tab. Your billing team should verify whether Revenue Cloud or a third-party billing integration is needed for post-migration invoicing workflows.

  • Custom field pick-list values must exist in Salesforce before migration

    FieldAware custom field declarations with pick-list types (dropdown) must have corresponding pick-list values created in Salesforce before migration so field-level validation passes. We create Salesforce custom fields during the schema setup phase, but you must confirm which pick-list values to include — deprecated or unused custom field values in FieldAware should be excluded. Any FieldAware custom fields not mapped to Salesforce custom fields are preserved as archived text fields for reference, but they are not active fields on the destination records. We provide a full inventory of your custom field declarations before migration so you can decide which ones to keep active.

  • Technician scheduling status has no direct Salesforce equivalent

    FieldAware tracks technician scheduling status — available, dispatched, en route, on site, completed — as part of the job assignment. Salesforce Cases have an OwnerId (the assigned technician) but no native scheduling status field. We preserve the scheduling status as a custom Case field (Technician_Status__c), but the status values are historical from FieldAware — they do not sync in real time. If you need live scheduling and dispatch visibility in Salesforce, Salesforce Field Service (a separate product with its own licensing) provides the ServiceResource, ServiceAppointment, and OperatingHours objects that replace FieldAware's scheduling model entirely.

Migration approach

Six steps for a successful FieldAware by GPS Insight to Salesforce Sales Cloud data migration

  1. Audit FieldAware data model and record volumes

    We export FieldAware object lists via the API — Jobs, Customers, Locations, Contacts, Assets, Invoices, Quotes, Tasks, Items, and custom field declarations on each entity type — to get full record counts and identify which custom fields are active versus deprecated. This audit identifies every entity that needs a Salesforce-side schema counterpart and confirms which pick-list values exist on each custom field declaration.

  2. Design Salesforce schema for FSM-to-CRM translation

    We create the Salesforce schema before data moves: custom Invoice__c object with all required fields, custom Quote__c and Quote_Line_Item__c objects, any custom Location junction objects, Case custom fields for job status, type, priority, and scheduling history, and Product2 items with Standard Pricebook entries. We configure Case record types and pick-list values to match the FieldAware job type and status vocabulary. All schema elements are created in a sandbox or development org first.

  3. Resolve technician and user assignments by email

    FieldAware users and technicians are matched against Salesforce User records by email, with name and title used as secondary identifiers when duplicate email addresses exist. Unmatched users are captured in a pre‑migration report that lists the missing email, source role, and suggested fallback OwnerId — your team either provisions Salesforce User accounts before the run or assigns those records to a designated fallback owner. The mapping leverages the Salesforce REST API, and every Case insertion is validated to ensure a resolved OwnerId exists; records without a valid OwnerId are queued for resolution rather than inserted.

  4. Sequence and run sample migration with field-level diff

    We sequence the migration in dependency order so foreign keys resolve correctly: Accounts (with location handling resolved), then Contacts and Assets linked to Accounts, then Cases with full history and technician ownership, then Invoices and custom objects. A representative sample — typically 50–200 records across Jobs, Customers, Assets, and Contacts — migrates first. We generate a field-level diff so you verify Case status mapping, record type assignment, technician ownership, location assignment, and custom field population before the full run commits.

  5. Full migration with delta pickup and audit rollback

    Full migration runs against Salesforce Production with a 24–48 hour delta pickup window capturing any records created or modified in FieldAware during cutover. An audit log records every insert, update, and skip operation with source record ID and destination record ID. If post-migration reconciliation fails — record counts off, duplicate detected, ownership gaps — one-click rollback reverts all operations. After rollback window closes, the migration is final and your team goes live in Salesforce.

Platform deep dives

Context on both ends of the pair

FieldAware by GPS Insight logo

FieldAware by GPS Insight

Source

Strengths

  • Native offline-capable mobile apps for iOS and Android keep field operations running without connectivity.
  • Route optimization and schedule dispatching reduce travel time and prevent double-booking technicians.
  • End-to-end quote-to-invoice workflow with built-in payment processing eliminates module switching.
  • Open REST API with JSON payloads enables integrations to NetSuite, Domo, and other enterprise systems.
  • Scalable from 2-user Starter to 500+ vehicle fleets with tiered pricing and no per-module surprises.

Weaknesses

  • Support ticket handling involves multiple agents with overlapping questions, delaying issue resolution.
  • Refund processing requires specific knowledge of job lifecycle stages and is widely reported as error-prone.
  • Mobile app crashes or freezes during phone orientation changes and typing, causing incomplete job sync.
  • Automatic customer text notifications are absent, requiring manual communication for job status updates.
  • Advanced customizations and deeper configuration options often require vendor-assisted implementation.
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 FieldAware by GPS Insight 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

    FieldAware by GPS Insight: Not publicly documented in the FieldAware REST API reference..

  • Data volume sensitivity

    B

    FieldAware by GPS Insight doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your FieldAware by GPS Insight 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 FieldAware by GPS Insight to Salesforce Sales Cloud data migrations

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

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Migration duration depends on record count and schema complexity. Small FieldAware accounts with under 1,000 records and simple custom fields typically complete in 2–3 days of clock time. Mid-size accounts with 5,000–10,000 records and custom Invoice__c objects extend to 4–7 days. Large accounts with 10,000+ records, complex location handling, or multi-year invoice history can take 10–14 days. The longest phase is always Salesforce schema setup — creating custom objects, configuring pick-list values, and provisioning users — while the actual data transfer runs 4–24 hours depending on volume.

Adjacent paths

Related migrations to explore

Ready when you are

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