Helpdesk migration

Migrate from Ivinex to Gorgias

Field-level mapping, validation, and rollback between Ivinex and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.

Ivinex logo

Ivinex

Source

Gorgias

Destination

Gorgias logo

Compatibility

42%

5 of 12

objects map 1:1 between Ivinex and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Ivinex and Gorgias serve different primary use cases. Ivinex is a general-purpose CRM and contact center platform built for BPOs and service teams that model their own processes via custom Tabs and fields; Gorgias is a conversational AI helpdesk platform purpose-built for ecommerce brands where customer orders are the primary context for ticket resolution. The structural gap between a general CRM and an order-aware helpdesk means the migration centers on Contacts, Tickets, Activities, and Custom Fields, while Ivinex Workflows, Saved Views, and Change History are documented as rebuild artifacts rather than data copies. Ivinex exposes its schema only through per-Tab API calls; we call GetFields on every Tab before pulling records to capture the live field list including field type, label, and dropdown options. Gorgias uses a per-ticket pricing model starting at $10 per month, which contrasts with Ivinex's per-user structure and is a key driver for teams whose support volume grows faster than headcount.

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

Ivinex logo

Ivinex

What's pushing teams away

  • Steep initial learning curve — the platform is not an out-of-the-box product; teams without a clear process definition struggle to configure it effectively and may never fully adopt it.
  • Limited third-party integrations — while a REST API exists, the native integration marketplace is thin compared to HubSpot or Salesforce, making connectivity to popular tools a manual effort.
  • Small team size raises long-term viability concerns — Ivinex has not raised external funding and competes against much larger CRM vendors, which some buyers view as a risk for ongoing product development.
  • UI polish and modern UX expectations — several reviews note that aesthetic customization options are limited (e.g., background wallpapers are pre-set), which can be a friction point for teams expecting consumer-grade UI flexibility.

Choosing

Gorgias logo

Gorgias

What's pulling them in

  • Shopify-native integrations pull order details, shipment status, and return data directly into the ticket view, eliminating the need for agents to switch between apps.
  • Unlimited user seats mean growing support teams do not trigger billing changes; pricing scales only on billable ticket volume.
  • AI Agent automates responses to high-volume queries like order status and returns, measurably reducing the number of billable tickets each month.
  • Omnichannel inbox consolidates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.
  • SOC 2 Type II certification and GDPR-aligned data handling satisfy enterprise procurement requirements for customer support platforms.

Object mapping

How Ivinex objects map to Gorgias

Each row shows how a Ivinex object lands in Gorgias, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Ivinex

Contacts (Tab)

maps to

Gorgias

Customer

1:1
Fully supported

Ivinex Contact records map to Gorgias Customer objects. The email address is the primary dedupe key. We call GetFields on the Contacts Tab before pulling records to capture all custom field labels and types, then map each to a Gorgias Customer custom field via external_id. Standard fields (name, email, phone, address) migrate directly. Owner assignment resolves by email match to the Gorgias User table.

Ivinex

Organizations (Tab)

maps to

Gorgias

Customer (company attributes)

lossy
Fully supported

Ivinex Organizations are linked to Contacts via LinkRecords. We flatten organization fields onto the related Customer record in Gorgias rather than creating a separate object, since Gorgias does not have a standalone Organization/Account object separate from Customer. The company name and domain map to Customer attributes; the relationship chain is preserved in a migration notes file for manual reconstruction if the customer needs separate company-level reporting.

Ivinex

Tickets (Tab)

maps to

Gorgias

Ticket

1:1
Fully supported

Ivinex Ticket records map directly to Gorgias Ticket. The ticket status, priority, assignee, and description fields map to their Gorgias equivalents. Custom fields on the Ivinex Tickets Tab are enumerated via GetFields and mapped to Gorgias Ticket custom fields using external_id. We resolve the assignee to a Gorgias User by email match. The Ivinex ticket created_date and modified_date become Gorgias created_datetime and updated_datetime.

Ivinex

Activities (related records)

maps to

Gorgias

Ticket messages / Comment

1:many
Fully supported

Ivinex Activities attached to a Ticket (call logs, emails, notes, tasks) map to Gorgias Ticket message records. We retrieve all GetAllRelatedItems for each Ticket before inserting, then write them as a chronological sequence of comments on the destination Ticket. Call duration and disposition from Ivinex become custom message metadata fields. The activity timestamp preserves the original date for timeline ordering.

Ivinex

Tasks (Tab)

maps to

Gorgias

Ticket or Task

lossy
Fully supported

Standalone Ivinex Task records are evaluated during scoping. If tasks correspond to follow-up work on an existing ticket, they migrate as comments on that Ticket. If tasks are independent work items without a parent ticket, they are documented as a rebuild scope in Gorgias Rules or a separate task management tool, since Gorgias does not have a standalone Task object separate from Ticket workflow.

Ivinex

Users

maps to

Gorgias

User / Agent

1:1
Fully supported

Ivinex User records (name, email, role, active/inactive status) map to Gorgias User. We match by email address. Inactive Ivinex users who own records are mapped to an inactive Gorgias User stub so that ownership history is preserved. Active users must have a corresponding Gorgias User provisioned before Ticket import begins, since assignee resolution is required.

Ivinex

Groups

maps to

Gorgias

Team

lossy
Mapping required

Ivinex Groups control API permissions and record access. We export group membership as a JSON artifact documenting which Ivinex users belong to which groups. Gorgias Teams are the equivalent organizational unit for agent grouping. The customer's admin rebuilds team membership in Gorgias Settings post-migration based on this artifact.

Ivinex

Attachments (metadata)

maps to

Gorgias

File (attachment)

1:1
Fully supported

Ivinex stores attachment metadata with download URLs in GetRecords responses, but binary content requires a separate download pass. We extract all attachment URLs during the data pull, execute parallel downloads in a second pass, and re-upload files to Gorgias via the /api/upload endpoint. Files over 20 MB exceed Gorgias Help Center limits but are accepted on Ticket records. Large file volumes should be migrated in a dedicated post-ETL file transfer step to avoid extending the main migration window.

Ivinex

Custom Fields (per Tab)

maps to

Gorgias

Custom Field

lossy
Fully supported

Every Ivinex Tab has a unique set of custom fields not documented in a global schema. We call GetFields on every Tab during the pre-migration schema audit, capture field type, label, and dropdown options, then pre-create matching Gorgias Custom Fields with external_id set to the Ivinex field identifier. Field type handling: Ivinex text, number, date, and checkbox types map to Gorgias text, decimal, date, and boolean respectively. Ivinex dropdown fields map to Gorgias options custom fields. Ivinex user-link fields are documented for manual reconstruction as Gorgias User lookup fields if needed.

Ivinex

Workflows

maps to

Gorgias

Rules (documented)

lossy
Mapping required

Ivinex Workflows are automation rules defined in the process automation module. We export workflow configuration as structured JSON documenting trigger conditions, action steps, and branching logic. Gorgias Rules are condition-action pairs that operate on tickets and messages but do not share the same data model or UI as Ivinex workflows. Workflows are not migrated as executable code; we deliver a written inventory with a recommended Gorgias Rules equivalent so the customer's admin can rebuild them post-migration.

Ivinex

Saved Views

maps to

Gorgias

Views (documented)

lossy
Fully supported

Ivinex Saved Views define field visibility and filter criteria per Tab. These are user preference data, not customer data. We export view names, filter criteria, and sort order as a JSON artifact. Gorgias Views are defined by channel, status, assignee, and tag combinations and do not share the same field-level filtering model. Views are documented as a rebuild guide rather than migrated as data.

Ivinex

Change History

maps to

Gorgias

Ticket events (partial)

1:1
Mapping required

Ivinex Change History captures field-level audit trails per record. Full history export is scoped to the records being migrated. Gorgias Ticket events capture status changes and assignee changes but not field-level history for all custom field modifications. We migrate the most recent status and assignee changes as Ticket events; a complete audit log requires a custom integration and is outside standard migration scope.

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.

Ivinex logo

Ivinex gotchas

High

API user permissions gate all record access

High

Custom fields schema is per-account, not per-Tab documentation

Medium

No publicly documented API rate limit

Medium

Attachments require a separate download step

Gorgias logo

Gorgias gotchas

High

AI Agent adds outcome-based fees on top of billable ticket costs

High

Overage billing for tickets scales nonlinearly

Medium

API rate limits restrict bulk export throughput

Medium

Agent data visibility cannot be restricted by role for GDPR use cases

Low

Knowledge Base translations require separate API calls per locale

Pair-specific challenges

  • Ivinex per-Tab custom field schema requires pre-enumeration

    Ivinex exposes no global schema for custom fields. Every Tab has its own set of user-defined fields that must be retrieved via GetFields before data extraction. Skipping this step means bulk exports may omit columns or misalign data with field positions. We call GetFields for every Tab as the first step of the data extraction phase and map each field to a Gorgias Custom Field with the Ivinex field identifier stored as external_id.

  • Gorgias does not migrate ticket attachments or CSAT ratings

    The Gorgias Help Desk Migration tool and the Gorgias REST API do not import attachment binary content or satisfaction rating data from non-Zendesk sources. Ivinex attachment metadata (download URLs) requires a separate download-and-re-upload pass via the Gorgias /api/upload endpoint. CSAT survey data associated with Ivinex Tickets has no equivalent in Gorgias and is documented as a pre-migration export for reporting continuity.

  • Ivinex API user permissions gate record visibility silently

    The Ivinex API inherits the exact permission set of the migration user account. If the migration user lacks read access to a Tab, GetRecords returns an empty result set with no error code. We run a pre-flight validation call against each Tab using the migration user credentials before starting the export. Any Tab that returns zero records without an empty_fields response flag is escalated to the customer's Ivinex admin for permission correction before data extraction begins.

  • Gorgias has tiered rate limits; Ivinex does not publish any

    Gorgias enforces 40-80 requests per 20 seconds using a leaky-bucket algorithm, with limits varying by plan tier. Ivinex has no publicly documented rate limit. We implement conservative backoff against the Ivinex API (500ms base, doubling on 429, 16-second ceiling) and respect Gorgias rate limits during the import phase with queue-based request pacing. Large migrations exceeding 10,000 records on either side add jitter to prevent synchronized retry storms.

  • Gorgias tickets have channel identity; Ivinex tickets do not

    Every Gorgias Ticket has a primary channel (email, chat, Facebook, Instagram, Twitter) that determines how the ticket is routed and displayed. Ivinex Tickets do not have an equivalent channel field; they are primarily email-channel by default. We set all migrated Ivinex Tickets to the email channel in Gorgias and document this as a post-migration review item if the customer's support operations include multiple inbound channels that were handled within Ivinex's unified interface.

Migration approach

Six steps for a successful Ivinex to Gorgias data migration

  1. Schema discovery and Ivinex permissions audit

    We enumerate every Ivinex Tab using the migration user account and call GetFields on each Tab to capture the live custom field schema including field type, label, and dropdown options. We run a pre-flight validation call against each Tab to confirm record visibility under the migration user's permission set. Any Tab that returns zero records without a valid empty_fields flag is escalated to the customer's Ivinex admin for permission correction. The discovery output is a written schema inventory and a pre-migration scope sign-off.

  2. Gorgias workspace provisioning and custom field pre-creation

    We create all required Gorgias Custom Fields with external_id set to the corresponding Ivinex field identifier before any data import begins. User accounts for active Ivinex agents are provisioned in Gorgias by matching email addresses. Inactive users who own historical records are created as inactive stubs to preserve ownership history. The customer configures email integration (IMAP/SMTP or Gmail/Outlook OAuth) in Gorgias so that the platform is ready to receive migrated ticket data.

  3. Data extraction in dependency order

    We extract Ivinex data in schema-first order: GetFields for every Tab, then Users and Groups, then Contacts and Organizations, then Tickets with all related Activities, then Attachments via download URL pass. Activities are retrieved via GetAllRelatedItems per Ticket to preserve the full timeline before any inserts. We log any attachment download failures (expired URLs, size limits) for manual retrieval. All timestamps (created_date, modified_date) are preserved as metadata for ordering during the Gorgias import phase.

  4. Staging migration and reconciliation

    We run a full migration into a Gorgias staging environment (a separate Gorgias account or a dedicated test workspace) using production-like data volume. The customer's operations lead reviews record counts, spot-checks random ticket threads against the Ivinex source, and validates custom field mapping completeness. Any field mapping corrections, missing dropdown options, or schema gaps are resolved before the production migration begins.

  5. Production migration with delta window

    We freeze Ivinex writes during the cutover window, run a final delta extraction of any records modified since the staging migration, then execute the production import in dependency order: Users, then Customers, then Tickets with message history, then attachments via the Gorgias upload API. Each phase emits a row-count reconciliation report. We respect Gorgias rate limits throughout the import using queue-based request pacing with exponential backoff on 429 responses.

  6. Cutover, validation, and rebuild handoff

    We validate the production migration by comparing record counts and sampling record content against the Ivinex source. We deliver the Workflow inventory JSON, Saved Views rebuild guide, and Change History export artifact to the customer's admin team. We support a five-business-day hypercare window for reconciliation issues. We do not rebuild Ivinex Workflows as Gorgias Rules inside the migration scope; that is a separate rebuild engagement or internal admin task.

Platform deep dives

Context on both ends of the pair

Ivinex logo

Ivinex

Source

Strengths

  • No-code workflow and tab builder with unlimited custom fields per record
  • Unified User Experience (UUE) showing right data at the right time on agent screens
  • SOC 2 Type II certified with encryption at rest and in transit
  • Integrated inbound/outbound contact center capabilities
  • Small, accessible team with direct customer access to leadership

Weaknesses

  • Username/password API authentication lacks OAuth 2.0, limiting security posture for enterprise buyers
  • No publicly documented rate limits — migration tooling must use conservative defaults and handle 429 responses generically
  • Thin public documentation beyond the API reference and a basic FAQ site
  • Limited native integrations compared to major CRM platforms
  • Small company with no disclosed external funding raises platform continuity questions
Gorgias logo

Gorgias

Destination

Strengths

  • Shopify and BigCommerce integrations surface order, return, and shipment data natively inside every ticket.
  • Unlimited agent seats remove per-user licensing friction as support teams grow.
  • AI Agent reduces billable ticket volume through automated resolution of high-frequency queries.
  • SOC 2 Type II certified with GDPR-aligned data handling for enterprise procurement readiness.
  • Omnichannel inbox aggregates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.

Weaknesses

  • Ticket-volume pricing with overage fees creates unpredictable monthly costs during seasonal traffic spikes.
  • Custom reporting is shallow; raw event-level data export for BI tooling is not natively supported.
  • Knowledge Base, Macros, and Rules lack simple export tooling, making competitive migrations complex.
  • GDPR compliance limitations mean customer data cannot be hidden from agents by role, blocking use by teams with freelance staff.
  • Performance and glitch reports emerge in G2 reviews at higher ticket volumes.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 3 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Ivinex and Gorgias.

  • Object compatibility

    C

    3 of 7 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

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Ivinex: Not publicly documented.

  • Data volume sensitivity

    B

    Ivinex doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Ivinex to Gorgias migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

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FAQ

Frequently asked questions about Ivinex to Gorgias data migrations

Answers to the questions buyers ask most during Ivinex to Gorgias migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for accounts with fewer than 10,000 Contacts, 5,000 Tickets, and a moderate custom field schema (under 20 fields per Tab). Migrations with large attachment volumes, complex multi-Tab custom field schemas, or Ivinex Organizations requiring company-level data reconstruction move to six to ten weeks because of the attachment download pass, per-Tab field enumeration overhead, and staging validation scope.

Adjacent paths

Related migrations to explore

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