CRM migration
Field-level mapping, validation, and rollback between Fieldy and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
Fieldy
Source
Zoho CRM
Destination
Compatibility
10 of 11
objects map 1:1 between Fieldy and Zoho CRM.
Complexity
BStandard
Timeline
2–4 weeks
Overview
Fieldy is a field service management platform built around job records, technician scheduling, customer management, and invoice generation for service businesses. Zoho CRM is a broader sales and customer relationship platform organized around Leads, Contacts, Accounts, Deals, and pipeline stages. The migration from Fieldy to Zoho CRM is a data-model translation problem: Fieldy's job records map to Zoho Deals (or Cases), customers map to Contacts, companies map to Accounts, invoices map to Zoho's Invoice module, and Fieldy's staff roster maps to Zoho Users. The core challenge is that Fieldy's scheduling-centric job model — with technician assignments, service types, and job statuses — does not have a native equivalent in Zoho's deal-pipeline architecture. Zoho's Blueprint process automation and workflow rules do not migrate from Fieldy's custom automation engine; they must be rebuilt in Zoho's Deluge-based workflow builder. FlitStack AI uses Zoho's REST API v8 and bulk data endpoints to extract Fieldy records, transform them according to the field-level mapping, and load them into the correct Zoho modules in dependency order — Accounts first, then Contacts, then Deals with line items and attachments — with a delta pickup window capturing any records modified 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 Fieldy 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.
Fieldy
Customer
Zoho CRM
Contact
1:1Fieldy customers migrate to Zoho Contacts. Each customer record carries name, email, phone, address, and custom properties. Primary company association in Fieldy maps to Contact.Account lookup in Zoho. Customer type or tags become custom pick-list fields in Zoho. During migration, we validate that email addresses are unique to prevent duplicate contact records in Zoho.
Fieldy
Company
Zoho CRM
Account
1:1Fieldy company records map 1:1 to Zoho Accounts. Company name becomes Account Name. Website, industry, employee count, and annual revenue map to matching Zoho standard fields. Parent-company hierarchy in Fieldy maps to Account.Parent_Account lookup in Zoho. If a parent company is missing, we create a placeholder Account and flag it for your team to resolve after migration.
Fieldy
Job
Zoho CRM
Deal
1:1Fieldy job records are the primary translation challenge. The job name maps to Deal Name, job amount maps to Deal Amount, and Fieldy job status (e.g., Scheduled, In Progress, Completed) maps to Zoho Deal Stage values via value mapping. Fieldy job priority migrates as a custom pick-list field on the Zoho Deal. Site address and service type are preserved as custom fields on the Deal record.
Fieldy
Job Assignment
Zoho CRM
Deal.Owner (User lookup)
1:1Fieldy technician assigned to a job resolves by email match to a Zoho User record. The matched User becomes the Deal Owner in Zoho CRM. Unmatched technicians are flagged before migration; your team assigns them to Zoho users first. This ensures every Deal has a responsible owner and adheres to Zoho's sharing rules for record visibility across your organization.
Fieldy
Job Line Items / Products Used
Zoho CRM
Deal Line Items + Products
many:1Fieldy job line items (parts, labor, materials) migrate as Zoho Deal Line Items linked to the Deal. Product records in Fieldy map to Zoho Products with SKU, unit price, and description. If Fieldy products have no SKU, Zoho product records are created with a generated identifier.
Fieldy
Invoice
Zoho CRM
Invoice
1:1Fieldy invoices migrate to Zoho Invoices when the Professional tier or higher is active. Invoice number, date, due date, line items, tax, and payment status map directly. If the Zoho plan does not include the Invoice module, invoices migrate as custom fields on the Deal with the invoice data preserved for reference.
Fieldy
Staff / Technician
Zoho CRM
User
1:1Fieldy staff and technician records map to Zoho Users. First name, last name, email, phone, and role title map to matching Zoho User fields. Active/inactive status in Fieldy controls the Zoho User active flag. Admin and technician roles in Fieldy require manual review against Zoho role and profile assignments.
Fieldy
Attachment / Signature
Zoho CRM
Deal Attachment
1:1Fieldy job attachments — including customer signatures, photos, and job documents — re-upload as Zoho Attachments linked to the corresponding Deal record. Zoho supports up to 25MB per file via its Files module. Inline images in job notes are downloaded and rehosted in Zoho's Documents.
Fieldy
Custom Fieldy Property (Contact)
Zoho CRM
Contact Custom Field
1:1Any Fieldy custom property on a customer record that has no Zoho standard field equivalent requires a Zoho custom field created before migration. We deliver a custom field creation plan specifying field label, API name, data type, and pick-list values where applicable.
Fieldy
Custom Fieldy Property (Job)
Zoho CRM
Deal Custom Field
1:1Fieldy job-specific custom properties (e.g., service type categories, warranty codes, site-specific notes) map to Zoho Deal custom fields. Multi-select values in Fieldy custom properties may require custom multi-select fields in Zoho, which are supported up to the 300-field module limit.
Fieldy
Job Notes / Activity Log
Zoho CRM
Deal Notes + Tasks
1:1Fieldy job activity logs and internal notes migrate as Zoho Notes attached to the Deal. Timestamps and the technician who added the note are preserved. If Fieldy logs specific action types (e.g., site visit, Parts ordered), those can map to Zoho Tasks with Type field for reporting clarity.
| Fieldy | Zoho CRM | Compatibility | |
|---|---|---|---|
| Customer | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Job | Deal1:1 | Fully supported | |
| Job Assignment | Deal.Owner (User lookup)1:1 | Fully supported | |
| Job Line Items / Products Used | Deal Line Items + Productsmany:1 | Fully supported | |
| Invoice | Invoice1:1 | Fully supported | |
| Staff / Technician | User1:1 | Fully supported | |
| Attachment / Signature | Deal Attachment1:1 | Fully supported | |
| Custom Fieldy Property (Contact) | Contact Custom Field1:1 | Fully supported | |
| Custom Fieldy Property (Job) | Deal Custom Field1:1 | Fully supported | |
| Job Notes / Activity Log | Deal Notes + Tasks1:1 | 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.
Fieldy gotchas
No documented public API or bulk export endpoint
Custom workflow automations do not export as portable rules
Pricing tiers and per-user limits not publicly confirmed
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 Fieldy data model and design Zoho schema
FlitStack AI exports a full snapshot of your Fieldy data — customers, companies, jobs, invoices, staff, and all custom properties — and audits it for duplicates, missing required fields, and relationship completeness. We deliver a Zoho schema setup plan specifying which Zoho modules to activate, which custom fields and pick-list values to create, and how to structure the deal pipeline stages to match your Fieldy job statuses.
Resolve Fieldy staff to Zoho Users by email
Fieldy technician and staff records are matched to Zoho User accounts by email address. This matching process ensures that each technician in Fieldy corresponds to an active Zoho User who can own migrated Deals. Any Fieldy staff member without a corresponding Zoho User is flagged before migration begins, and your team either creates Zoho User accounts for those staff members or designates a fallback Zoho User to own those migrated records.
Import Accounts before Contacts before Deals
Zoho enforces referential integrity, meaning Accounts must exist before Contacts can link via Account_Name lookup, and Deals must link to Contacts via Contacts lookup. We sequence the migration so Accounts import first, then Contacts, then Deals with line items and attachments following. This strict ordering ensures every lookup relationship resolves correctly during data load, preventing orphaned records and maintaining data integrity across the Zoho CRM schema.
Run a sample migration with field-level validation
A representative slice — typically 100–300 records spanning customers, companies, jobs, and invoices — migrates to a Zoho sandbox first. We generate a field-level diff showing source field values against destination field values so you can verify job status mapping to deal stages, technician mapping to deal owners, and custom property placement before the full dataset commits. This validation step catches mapping errors early and allows your team to approve the field mapping before we proceed with the full migration.
Execute full migration with delta pickup window
The full dataset loads into Zoho CRM using Zoho's Bulk API v8 and REST API endpoints, with API calls throttled per your edition's credit limits. A 24–48 hour delta pickup window after the main load captures any Fieldy records modified during cutover. All operations are logged in FlitStack's audit trail, and one-click rollback is available if reconciliation against the Fieldy source reveals record discrepancies.
Platform deep dives
Fieldy
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 Fieldy 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
Fieldy: Not publicly documented..
Data volume sensitivity
Fieldy 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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