CRM migration
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
Source
Salesforce Sales Cloud
Destination
Compatibility
14 of 14
objects map 1:1 between FieldAware by GPS Insight and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
3–5 days
Overview
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.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
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
Salesforce Sales Cloud
Account
1:1FieldAware 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
Salesforce Sales Cloud
Case
1:1FieldAware 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
Salesforce Sales Cloud
Account (address fields) or custom Location__c
1:1FieldAware 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
Salesforce Sales Cloud
Contact
1:1FieldAware 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
Salesforce Sales Cloud
Asset
1:1FieldAware 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
Salesforce Sales Cloud
Custom Invoice__c object
1:1Salesforce 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
Salesforce Sales Cloud
Opportunity or custom Quote__c object
1:1FieldAware 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
Salesforce Sales Cloud
Task
1:1FieldAware 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
Salesforce Sales Cloud
Product2
1:1FieldAware 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)
Salesforce Sales Cloud
Custom Field on corresponding Salesforce object
1:1FieldAware 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
Salesforce Sales Cloud
User (lookup by email)
1:1FieldAware 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
Salesforce Sales Cloud
Custom Case audit fields
1:1FieldAware 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
Salesforce Sales Cloud
Case.CaseNumber or custom Job_Number__c
1:1FieldAware 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)
Salesforce Sales Cloud
Account hierarchy or custom Location_Junction__c
1:1FieldAware 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.
| FieldAware by GPS Insight | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Customer | Account1:1 | Fully supported | |
| Job | Case1:1 | Fully supported | |
| Location | Account (address fields) or custom Location__c1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Asset | Asset1:1 | Fully supported | |
| Invoice | Custom Invoice__c object1:1 | Fully supported | |
| Quote | Opportunity or custom Quote__c object1:1 | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Item | Product21:1 | Fully supported | |
| Custom Field (Job, Invoice, Asset, Customer, Contact, Location, Task, Item) | Custom Field on corresponding Salesforce object1:1 | Fully supported | |
| User / Technician | User (lookup by email)1:1 | Fully supported | |
| Job Status / Type Change History | Custom Case audit fields1:1 | Fully supported | |
| Job Number | Case.CaseNumber or custom Job_Number__c1:1 | Fully supported | |
| Location Hierarchy (nested Locations) | Account hierarchy or custom Location_Junction__c1:1 | Fully supported |
Gotchas + challenges
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 gotchas
User tier cap misalignment at migration time
Custom field format type immutability
API rate limits are not publicly documented
Asset-to-Job linkage reconstruction
FieldAware brand transition to GPS Insight
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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
FieldAware by GPS Insight
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.
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
2 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
FieldAware by GPS Insight: Not publicly documented in the FieldAware REST API reference..
Data volume sensitivity
FieldAware by GPS Insight doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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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