CRM migration
Field-level mapping, validation, and rollback between FRONTU and Nutshell. We move data and schema; workflows are rebuilt natively in Nutshell.
FRONTU
Source
Nutshell
Destination
Compatibility
10 of 10
objects map 1:1 between FRONTU and Nutshell.
Complexity
BStandard
Timeline
48–72 hours
Overview
Frontu is a field service management platform built around workers, tasks, locations, and work orders. Nutshell is a sales CRM organized around People, Companies, Leads, Deals, and Activities. These models diverge significantly: Frontu tracks field-technician assignments, location coordinates, process templates, and asset registers that have no native Nutshell equivalent. FlitStack AI handles the FSM-to-CRM translation by converting Frontu Workers into Nutshell People records (email-matching owner resolution against Nutshell users), Frontu Customers into Nutshell Companies with address and industry fields, and Frontu Tasks into Nutshell Activities with custom fields capturing work-order type, priority, status, and original technician assignment. Nutshell has no native work-order object — task metadata gets stored as custom fields on the Activity record so service history is queryable. Frontu locations map to a combination of Company address fields and a Location_Name__c custom field when multiple service sites exist per customer. Process templates, automation rules, and asset registers do not migrate — those require manual rebuild in Nutshell's workflow tools or as custom objects. We run a sample migration first (typically 100–500 records) and generate a field-level diff so you can verify work-order status mapping and custom field completeness before the full run commits. A 24–48 hour delta-pickup window captures any records modified in Frontu during cutover.
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 FRONTU object lands in Nutshell, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
FRONTU
Worker
Nutshell
Person
1:1Frontu Workers map 1:1 to Nutshell People. First name, last name, email, phone, and role transfer directly. Worker type (Technician, Admin, Manager) is preserved as a Role__c custom field on the Person record since Nutshell has no native role classification for People.
FRONTU
Customer
Nutshell
Company
1:1Frontu Customers map directly to Nutshell Companies with company name, address fields, phone, website, and industry transferred on a field-for-field basis. Customer type (Commercial, Residential, Industrial) is preserved as a Customer_Type__c custom pick-list field on the Nutshell Company record. The Frontu customer ID is stored as Source_System_ID__c for delta-run reconciliation and audit traceability.
FRONTU
Location
Nutshell
Company (Address) + Custom Field
1:1Frontu Locations store site name and GPS coordinates. The primary service address transfers to the Company address fields. Site-specific names (e.g., Warehouse A, Branch Office) map to Location_Name__c on the Company. When a Customer has multiple Locations, each location name becomes a separate Company record with a shared parent relationship.
FRONTU
Task
Nutshell
Activity (Task)
1:1Frontu Tasks translate to Nutshell Activities (Task type). Task name becomes the Activity subject. Task status, priority, type, and technician assignment are stored as custom fields on the Activity: Work_Order_Type__c, Priority__c, Task_Status__c, Technician_Name__c. Original creation timestamps and work-order IDs are preserved as custom fields for audit continuity.
FRONTU
Process Template
Nutshell
Custom Field or Template Reference
1:1Frontu process templates define standardized task checklists and routing logic. Nutshell has no native process-template object. Template names and step descriptions are captured as Process_Template__c and Process_Steps__c custom fields on the Activity for reference, but the automation logic must be rebuilt as Nutshell workflow rules or sequence steps.
FRONTU
Work Order
Nutshell
Activity + Custom Fields
1:1Work orders in Frontu aggregate multiple tasks under a single job. Nutshell has no work-order object — we create a primary Activity record per work order with a Work_Order_ID__c custom field linking to the source system. Individual tasks under the work order become linked Activity records. Total work-order value, if tracked, becomes Estimated_Value__c on the primary Activity.
FRONTU
Asset / Equipment
Nutshell
Custom Object (Asset)
1:1Frontu asset registers track equipment linked to customers and locations. Nutshell has no native asset object. We create a custom Asset__c object with fields for name, serial_number__c, equipment_type__c, install_date__c, and a lookup to the linked Company record. The asset-to-location relationship is preserved via the Company link.
FRONTU
User / Owner
Nutshell
User (email match)
1:1Frontu worker records are matched to Nutshell Users by email address. Any Frontu worker without a matching Nutshell user email is flagged before migration — those records are assigned to a fallback Nutshell user or left unassigned pending admin action. Original Frontu owner ID is preserved as Source_Owner_ID__c on migrated records.
FRONTU
Attachment / File
Nutshell
Activity Attachments
1:1Files attached to Frontu tasks — including photos, signatures, and job-site documents — are downloaded from Frontu storage and re-uploaded as attachments on the corresponding Nutshell Activity record. Each file is validated against Nutshell's supported file types and size limits before upload, with any oversized files flagged for external storage and URL linking.
FRONTU
Custom Field (any object)
Nutshell
Nutshell Custom Field
1:1Frontu custom fields on any object (Worker, Customer, Task, Location) are created as matching custom fields in Nutshell on the target object. Field type is mapped: text → text, number → number, date → date, pick-list → pick-list. Frontu pick-list values are preserved as Nutshell pick-list options so no data is lost during the type translation.
| FRONTU | Nutshell | Compatibility | |
|---|---|---|---|
| Worker | Person1:1 | Fully supported | |
| Customer | Company1:1 | Fully supported | |
| Location | Company (Address) + Custom Field1:1 | Fully supported | |
| Task | Activity (Task)1:1 | Fully supported | |
| Process Template | Custom Field or Template Reference1:1 | Fully supported | |
| Work Order | Activity + Custom Fields1:1 | Fully supported | |
| Asset / Equipment | Custom Object (Asset)1:1 | Fully supported | |
| User / Owner | User (email match)1:1 | Fully supported | |
| Attachment / File | Activity Attachments1:1 | Fully supported | |
| Custom Field (any object) | Nutshell Custom Field1:1 | 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.
FRONTU gotchas
No publicly documented public API for bulk data export
Custom fields are per-organization with no standard schema
Tasker legacy data from pre-2021 may use different object names
Billing and invoicing data may exist outside Frontu
Nutshell gotchas
Contact tier limits enforced on import
No bulk API endpoint requires paginated extraction
Email sequences not exportable via API
Foundation plan disables key sales features
Pair-specific challenges
Migration approach
Export Frontu data via API and audit the data model
FlitStack AI connects to Frontu using your API credentials and extracts all Workers, Customers, Locations, Tasks, Work Orders, and Assets. We profile the data to identify custom fields, pick-list values, location counts per customer, and any records with missing required fields. This audit produces a data-quality report and flags records that may need pre-migration cleanup (incomplete addresses, unmapped pick-list values) before field mapping begins.
Create Nutshell custom fields before mapping
Before any data moves, FlitStack AI creates the required custom fields in Nutshell on the Person, Company, and Activity objects: Work_Order_Type__c, Priority__c, Task_Status__c, Technician_Name__c, Location_Name__c, GPS_Latitude__c, GPS_Longitude__c, Source_System_ID__c, Estimated_Value__c, Completed_Date__c, Original_Create_Date__c, Customer_Type__c, and Role__c. We deliver a custom-field creation plan so your Nutshell admin can review and approve the field names, data types, and pick-list values before they are written to your Nutshell account.
Run sample migration with field-level diff
A representative sample — typically 100 to 500 records spanning workers, companies, locations, tasks, and work orders — migrates into Nutshell in test mode. We generate a field-level diff showing every mapped value, any custom field that received no data, and any record that failed owner resolution. You review the sample in Nutshell and confirm whether Work_Order_Type__c values, technician assignments, and location mapping appear correct before we commit to the full run.
Full migration: Workers → People, Customers → Companies, Tasks → Activities
The full migration runs in dependency order: Workers first (so email matching is ready for owner resolution), then Customers (so the Company lookup is available for Activity linking), then Locations, then Tasks and Work Orders as Activities with custom field metadata. Frontu attachments are downloaded and re-uploaded to the corresponding Nutshell Activity records. All records carry their original Frontu creation timestamps as custom datetime fields and their Frontu IDs as Source_System_ID__c for reconciliation.
Delta-pickup and rollback window
A 24–48 hour delta-pickup window runs after the full migration commits, capturing any Frontu records created or modified during the cutover period. An audit log records every record created, updated, or skipped with timestamps and operator IDs for full traceability. If reconciliation identifies missing records or incorrect custom field values, a one-click rollback reverts all migrated data so the migration can be re-run with corrected mapping logic.
Platform deep dives
FRONTU
Source
Strengths
Weaknesses
Nutshell
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 FRONTU and Nutshell.
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
FRONTU: Not publicly documented.
Data volume sensitivity
FRONTU 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 FRONTU to Nutshell migration scoping. Not seeing yours? Book a call.
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