CRM migration
Field-level mapping, validation, and rollback between FRONTU and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
FRONTU
Source
Zoho CRM
Destination
Compatibility
9 of 11
objects map 1:1 between FRONTU and Zoho CRM.
Complexity
BStandard
Timeline
48–72 hours
Overview
Frontu is a field service management platform built around tasks, work orders, employee scheduling, and route planning for mobile technicians. Its data model centers on Jobs (tasks with status, location, and assignment), Customers (service locations with contact details), Employees (technicians with availability), and Activity Logs (check-ins, photos, signatures). Zoho CRM uses a traditional CRM schema with Leads, Contacts, Accounts, Deals, Tasks, Events, and Calls — plus custom modules and Blueprint automation. The migration requires converting Frontu's job-centric structure into Zoho's account-contact-deal model. We map Frontu Customers to Zoho Accounts and Contacts, Frontu Jobs to Zoho Deals (or a custom Jobs module), Frontu Employees to Zoho Users with territory assignments, and Frontu Activity Logs to Zoho Tasks and Events. Workflows, scheduling rules, and route-optimization logic from Frontu have no direct Zoho equivalent and must be rebuilt using Zoho Blueprint or custom functions. Our API-based extraction from Frontu preserves all timestamps and technician ownership; bulk import into Zoho handles the data load with field-level validation before commit.
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 Zoho CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
FRONTU
Customer
Zoho CRM
Account + Contact
many:1Frontu Customers (service-location entities with primary contact info) map to Zoho Accounts for the company record and a primary Contact for the service manager or site contact. Frontu's customer name becomes Account Name; the contact name, phone, and email become the Contact record. If Frontu stores multiple contact roles per customer, secondary contacts are added as related Contact records.
FRONTU
Job
Zoho CRM
Deal (or Custom Module: Jobs_C)
1:1Frontu Jobs (field service tasks with status, location, and assignment) translate to Zoho Deals representing each service event. Job name becomes Deal Name; Job status (Pending, In Progress, Completed) maps to Zoho Stage values. If your team uses custom job types or service categories, we create a custom Jobs module with _C suffix and map those fields to custom pick-list and multi-select fields in Zoho.
FRONTU
Employee
Zoho CRM
User
1:1Frontu Employees (technicians) resolve to Zoho Users by email matching. Frontu's employee name, email, phone, and availability status migrate as User fields. Zoho's User record is the destination for technician ownership of Deals, Tasks, and Events. Unmatched employees are flagged before migration; your Zoho admin creates the User records and we remap by email.
FRONTU
Activity Log
Zoho CRM
Task + Event
1:1Frontu Activity Logs (check-in, check-out, photos, signatures, notes) become Zoho Tasks (for discrete action items like 'Completed inspection') or Events (for scheduled site visits with start/end times). Original timestamps, technician owner, and parent Job reference are preserved. Photos and signatures are downloaded and re-uploaded as Zoho Attachments linked to the corresponding Deal or Task.
FRONTU
Service Location
Zoho CRM
Account (address fields) + Custom Location module
many:1Frontu service locations with GPS coordinates, site name, and address details map to Zoho Account address fields (Street, City, State, Zip, Country). If your Frontu setup tracks multiple locations per customer with distinct site managers, we create a custom Locations_C module linked to Account for N:1 relationships. GPS coordinates migrate as custom latitude/longitude decimal fields.
FRONTU
Job Checklist
Zoho CRM
Custom fields on Deal/Jobs_C
1:1Frontu job checklists (items, steps, completion status per job) have no native Zoho equivalent. We migrate each checklist item as a separate custom field on the Deal or custom Jobs_C module: either multi-select pick-lists for simple pass/fail items or long-text fields for itemized notes. Your Zoho admin can restructure these into sub-forms after migration if Zoho forms support is available in your tier.
FRONTU
Job Status History
Zoho CRM
Custom datetime fields on Deal
1:1Frontu tracks job status transitions with timestamps. Zoho Deal history is tracked via the Audit Log, but original status-change timestamps are not surfaced on the record. We preserve each status transition as a pair of custom datetime fields (e.g., Status_In_Progress_Date__c, Status_Completed_Date__c) on the Deal for reporting continuity.
FRONTU
Attachment / File
Zoho CRM
Zoho Attachments (Notes module or File Upload)
1:1Frontu file attachments (photos, PDFs, signed forms) on Jobs and Activity Logs are downloaded and re-uploaded to Zoho. Attachments are linked to the corresponding Deal or Task record. Zoho supports files up to 25 MB per attachment. Inline images from Frontu Activity Logs are extracted and hosted as Zoho Attachments.
FRONTU
Custom Job Property
Zoho CRM
Custom field on Deal or Jobs_C
1:1Frontu custom fields on Jobs (e.g., Equipment ID, Service Type, Warranty Code) map to custom fields in Zoho. Data type matching is performed: text to varchar, numbers to integer/decimal, dates to datetime. Pick-list values from Frontu are recreated as Zoho pick-list values. We create the custom fields in Zoho via API before the migration run so data lands in the correct schema.
FRONTU
Team / Group
Zoho CRM
Zoho Territory
1:1Frontu technician teams or dispatch groups map to Zoho Territories. Territory assignment in Zoho controls data visibility for users. We map team membership to territory membership so each technician sees only their assigned Accounts and Deals. If your Frontu setup uses regions or service areas, those become Zoho Territories linked to the relevant Accounts.
FRONTU
Invoice / Billing Record
Zoho CRM
No equivalent (Zoho Books or Invoices module)
1:1Frontu invoices or billing records tied to completed jobs have no direct CRM equivalent. We export them as reference records linked by Deal ID for import into Zoho Books or as a custom Invoice_C module. If you use Zoho Books, the Deal ID cross-reference allows your accounting team to match invoices to service events post-migration.
| FRONTU | Zoho CRM | Compatibility | |
|---|---|---|---|
| Customer | Account + Contactmany:1 | Fully supported | |
| Job | Deal (or Custom Module: Jobs_C)1:1 | Fully supported | |
| Employee | User1:1 | Fully supported | |
| Activity Log | Task + Event1:1 | Fully supported | |
| Service Location | Account (address fields) + Custom Location modulemany:1 | Fully supported | |
| Job Checklist | Custom fields on Deal/Jobs_C1:1 | Fully supported | |
| Job Status History | Custom datetime fields on Deal1:1 | Fully supported | |
| Attachment / File | Zoho Attachments (Notes module or File Upload)1:1 | Fully supported | |
| Custom Job Property | Custom field on Deal or Jobs_C1:1 | Fully supported | |
| Team / Group | Zoho Territory1:1 | Fully supported | |
| Invoice / Billing Record | No equivalent (Zoho Books or Invoices module)1:1 | 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
Zoho CRM gotchas
API access requires Professional tier or above
Subform fields do not export cleanly via CSV
API credit consumption is non-linear
Export download links expire in 7 days
Owner (User) assignments require pre-mapped user IDs
Pair-specific challenges
Migration approach
Audit Frontu data model and export via API
FlitStack AI connects to Frontu via REST API using OAuth credentials. We extract all Customers, Jobs, Employees, Activity Logs, and custom properties. A pre-migration data audit identifies duplicate records, missing required fields, and data quality issues (null addresses, invalid emails). We deliver a data quality report with remediation recommendations before schema design begins. Frontu's API returns records in paginated JSON; we handle rate limiting and resume from last checkpoint for large datasets.
Design Zoho schema: modules, fields, layouts
Based on the data audit, we design the Zoho target schema: standard Accounts/Contacts/Deals for core data, custom Jobs_C module if your Frontu job model requires it, and custom fields for GPS coordinates, equipment IDs, priority levels, and status-history timestamps. We create all custom fields via Zoho CRM API before migration so the schema is ready before data lands. Layouts and territories are documented for your Zoho admin to configure before the test migration.
Resolve owners: map Frontu employees to Zoho users
We match Frontu Employee email addresses to Zoho User records by email. Unmatched employees are listed with their Frontu Employee ID, name, and email so your Zoho admin can create the corresponding User. We provide a CSV template for bulk user creation. Owner resolution must complete before Deals are migrated because Zoho requires a valid OwnerId on every Deal. This step typically takes 1–3 business days depending on team size.
Run sample migration with field-level diff
A representative slice of 100–500 records migrates first: 2–3 customers, 5–10 jobs, their associated activity logs, and attachments. We generate a field-level diff comparing source Frontu values against destination Zoho field values. You verify job status mapping, account-address accuracy, technician ownership, and attachment presence before the full run commits. Any mapping adjustments are documented and applied to the migration configuration before the bulk phase begins.
Full migration with delta-pickup window
Bulk migration loads all remaining records into Zoho: Accounts first (to resolve lookups), then Contacts, then Employees (user resolution confirmed), then Deals with OwnerId assignments, then Activity Logs linked to parent Deals via WhatId. A delta-pickup window of 24–48 hours captures any Frontu records created or modified during the cutover. All operations are logged in an audit trail. One-click rollback reverts the Zoho environment to pre-migration state if reconciliation identifies critical data issues.
Reconcile and validate record counts
Post-migration reconciliation compares total record counts per object between Frontu and Zoho: total Customers vs. Accounts, total Jobs vs. Deals, total Activity Logs vs. Tasks, total Employees vs. Users. We surface any discrepancies (null OwnerId, missing attachments, unmapped custom fields) in a validation report. Your team runs a parallel-read period of 5–7 business days to verify data accuracy before decommissioning Frontu read access.
Platform deep dives
FRONTU
Source
Strengths
Weaknesses
Zoho CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Zoho CRM.
Object compatibility
1 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
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