Helpdesk migration

Migrate from Mint Service Desk to Gorgias

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

Mint Service Desk logo

Mint Service Desk

Source

Gorgias

Destination

Gorgias logo

Compatibility

42%

5 of 12

objects map 1:1 between Mint Service Desk and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Mint Service Desk to Gorgias is a structural migration that restructures how support data is organized, not a direct record transfer. Mint Service Desk is an ITIL 4-certified ITSM platform built around Queues that bundle ticket routing, access permissions, and SLA breach rules into a single organizational unit. Gorgias is a commerce-focused helpdesk built around a Customer object with deep Shopify order integration, AI Agent automation, and per-ticket volume pricing. We extract Mint SD's ticket taxonomy, company records, queue assignments, SLA rule linkages, and custom field schema, then remap them into Gorgias's customer-ticket-field model. Mint SD's Queues do not have a direct Gorgias equivalent; we map them to Gorgias Teams and Rules so that ticket routing logic continues to function after cutover. SLA definitions, Change Management records, and Asset records require explicit disposition decisions because Gorgias does not natively provide ITSM-grade SLA tracking or asset management.

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

Mint Service Desk logo

Mint Service Desk

What's pushing teams away

  • Implementation and configuration can take longer than expected, especially when aligning the system to complex organizational structures and existing workflows.
  • Initial learning curve for agents — several reviews mention it being tricky to get acquainted with during the first weeks of use.
  • Pricing became a factor for some organizations, particularly when scaling agents or adding enterprise-tier features.
  • Limited integrations compared to larger platforms, with some users noting difficulty connecting Slack, Firebase, and other common tooling.

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 Mint Service Desk objects map to Gorgias

Each row shows how a Mint Service Desk 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.

Mint Service Desk

Ticket

maps to

Gorgias

Ticket

1:1
Fully supported

Mint SD Tickets map to Gorgias Tickets 1:1 using Subject, Description, Type, Status, and Priority. Mint SD's Type taxonomy (Incident, Request, Problem) maps to Gorgias Ticket Type values, and Status (Open, In Progress, On Hold, Resolved, Closed) maps directly to Gorgias status values. Priority maps to a Gorgias ticket field we create during schema setup. Custom fields on Mint SD tickets follow the custom field mapping process: we extract source field definitions, create matching Gorgias ticket fields (Text, Number, Dropdown, or Yes/No), and flag any orphaned source fields with no destination equivalent.

Mint Service Desk

Company

maps to

Gorgias

Customer

1:1
Fully supported

Mint SD Company records map to Gorgias Customer records. The Company Name becomes Customer name, and any Company-level custom fields map to Customer-level fields in Gorgias. We preserve the Company-to-Ticket linkage by attaching the customer to every migrated ticket. If the Mint SD installation uses a separate Organization or Account object alongside Company, we merge them into a single Customer record in Gorgias and note the merge in the migration manifest.

Mint Service Desk

Queue

maps to

Gorgias

Team + Rule

lossy
Fully supported

Mint SD Queues bundle ticket routing, access permissions, and SLA rules. Gorgias has no Queue object. We map each Mint SD Queue to a Gorgias Team and create a Routing Rule that reproduces the queue's ticket assignment logic. The rule evaluates ticket properties (Type, Category, Priority) and assigns the ticket to the corresponding Team. Permission sets that were enforced at the Queue level are enforced via Gorgias Team membership post-migration. Any SLA linkage originally attached to the Mint SD Queue is documented separately (see SLA Rules mapping) because Gorgias does not have native SLA breach tracking.

Mint Service Desk

SLA Rule

maps to

Gorgias

Rule (Rule Template) + documentation

lossy
Fully supported

Mint SD SLA rules attach to Queues or Ticket Types and define breach thresholds. Gorgias has no SLA object. We convert SLA breach logic to Gorgias Rule conditions (e.g., First Response Time, Next Reply Time) using Gorgias SLA Rule templates if the destination plan includes them, or document them as an operational playbook the customer's admin follows. The SLA-to-Queue linkage is preserved in the migration manifest so the admin can re-attach SLA expectations to the corresponding Gorgias Rule or team inbox.

Mint Service Desk

Asset

maps to

Gorgias

Customer field or external reference

lossy
Fully supported

Gorgias does not have an Asset management module. We handle Mint SD Asset records by attaching the most relevant asset identifiers (serial number, asset tag, product name) to the linked Customer record in Gorgias as custom fields, or by linking to an external asset reference URL if the customer maintains a separate asset management system. The disposition decision is made during scoping: either migrate asset data into Customer fields or treat Assets as out-of-scope and document the recommended external system replacement.

Mint Service Desk

Agent (User)

maps to

Gorgias

User

1:1
Fully supported

Mint SD agents map to Gorgias agents by email address. We extract agent profiles including Name, Email, Role, and Group membership, then provision them in Gorgias. Queue permission sets that were Mint SD-specific map to Gorgias Team membership. If an agent in Mint SD has no active destination counterpart, their tickets are reassigned to a default agent designated by the customer during scoping.

Mint Service Desk

Custom Field (per-installation)

maps to

Gorgias

Ticket Field or Customer Field

lossy
Fully supported

Every Mint SD tenant has a unique custom field set. We introspect the source custom field definitions before migration, map them to Gorgias ticket fields or customer fields by name and data type, and create any missing destination fields. Gorgias limits active ticket fields to 25. If the source exceeds this, we archive unused fields in Gorgias post-migration to make room, or we split fields between ticket and customer context. Any source custom field with no Gorgias equivalent is flagged in the scoping report with a disposition recommendation.

Mint Service Desk

Attachment

maps to

Gorgias

Attachment (re-hosted)

1:1
Fully supported

Mint SD stores attachment references as URLs or file paths on Tickets and Assets. These references break after migration because they point to Mint SD's storage. We re-upload attachments to Gorgias-hosted storage during migration and update all ticket attachment links to the new hosted location. For large attachment volumes, we chunk uploads and validate a representative sample post-import to confirm links resolve correctly. If attachments exceed Gorgias storage limits, we negotiate an alternative storage disposition during scoping.

Mint Service Desk

Time Entry

maps to

Gorgias

Note or external time-tracking field

lossy
Fully supported

Mint SD agents log time against Tickets as Time Entries. Gorgias does not have a native time-tracking object. We migrate time entry data as a Note attached to the parent ticket with a structured format (e.g., 'Time Entry: 2h 15m - Agent Name - Work performed') or as a custom field on the ticket if the customer prefers structured storage. The disposition is confirmed during scoping.

Mint Service Desk

Change Management Record

maps to

Gorgias

Ticket (linked) or external documentation

lossy
Fully supported

Mint SD Change Management records link to Tickets and carry custom approval chains. Gorgias does not have a Change Management module. We map Change records to Tickets in Gorgias with the change record content preserved in the ticket body, or we recommend the customer maintain change records in a separate system post-migration. Any approval chain data is documented as a written record for the customer's ITSM administrator to re-establish in a dedicated change management tool if required.

Mint Service Desk

Types, Statuses, Priorities

maps to

Gorgias

Ticket Type, Status, Priority values

1:1
Fully supported

Mint SD's standard Type taxonomy (Incident, Request, Problem) and Status values (Open, In Progress, On Hold, Resolved, Closed) map 1:1 to Gorgias equivalents. Custom Type values, Status values, and Priority values migrate as enumerated Dropdown field values in Gorgias. Any custom enumerated value that does not have a matching Gorgias field is added during schema setup before migration.

Mint Service Desk

Category / Service

maps to

Gorgias

Tag or Ticket Field

lossy
Fully supported

Mint SD Categories and Services define ticket categorization. We map these to Gorgias Tags or a Category ticket field depending on the customer's preference. Tags are preferred if the categorization is used for reporting and filtering; a dedicated Category field is preferred if the categorization drives routing rules. The choice is made during scoping based on how the customer uses Mint SD Categories today.

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.

Mint Service Desk logo

Mint Service Desk gotchas

High

Custom field schema is per-installation with no standard export profile

High

Queue permissions are installation-specific and must be replicated carefully

Medium

No publicly documented API rate limits

Medium

Attachment references can break if storage paths are not remapped

Low

SLA linkage to Queues can be missed if Queue names change

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

  • Gorgias limits active ticket fields to 25

    Gorgias enforces a maximum of 25 active ticket fields at any time. Mint SD custom field schemas vary per installation and can exceed this limit. During scoping, we introspect the source custom field count. If the count exceeds 25, we identify fields that can be archived in Gorgias post-migration to make room, or we distribute fields across ticket context and customer context (where Gorgias also allows custom fields on Customers). We never allow active custom fields to silently drop. The customer reviews and approves the field prioritization before migration begins.

  • SLA management does not exist in Gorgias natively

    Mint SD SLA rules attach to Queues and track breach thresholds for First Response and Resolution. Gorgias has no SLA object; SLA-style rules exist only as add-ons in higher tiers and do not provide breach tracking in the same way. We convert SLA breach logic into a written SLA playbook during migration: the document maps each Mint SD SLA rule to the nearest Gorgias Rule condition, documents the SLA threshold values, and flags the disposition for the customer's admin to re-implement using Gorgias's rule engine or an external SLA tracking tool. Teams that require formal SLA breach reporting should plan for a third-party SLA tool post-migration.

  • Queue-to-team remapping requires rule reconstruction

    Mint SD Queues bundle routing, access permissions, and SLA rules. Gorgias separates these: Teams handle agent grouping, Rules handle routing logic, and SLA tracking is not native. We map each Mint SD Queue to a Gorgias Team and a corresponding Routing Rule. However, the permission sets enforced at the Queue level do not map directly to any Gorgias construct. We document the original queue permission matrix in the migration manifest so the customer's admin can configure Team-level permissions in Gorgias. Any complex conditional permissions that relied on queue-specific logic require manual review post-migration.

  • Gorgias does not have an Asset management module

    Mint SD tracks Assets linked to Tickets and Companies as first-class objects with custom fields, lifecycle status, and component hierarchies. Gorgias does not have asset records. We handle this during scoping by asking the customer whether asset data should migrate into Customer fields in Gorgias, remain in an external asset management tool, or be treated as a separate migration scope. If the customer relies heavily on asset tracking for ITSM workflows, we recommend evaluating Gorgias alongside a dedicated asset management tool post-migration.

  • Attachment re-hosting is required because source URLs break

    Mint SD stores attachment references as URLs or file paths. These references do not resolve after migration to Gorgias because they point to Mint SD storage. We re-upload attachments to Gorgias-hosted storage during migration and update ticket attachment links to the new location. For migrations with large attachment volumes (over 10,000 attachments or files exceeding 50 MB total), re-hosting can extend the migration timeline. We validate a random sample of re-hosted attachment links post-import to confirm they open correctly before declaring the attachment phase complete.

Migration approach

Six steps for a successful Mint Service Desk to Gorgias data migration

  1. Discovery and scoping workshop

    We connect to the Mint SD instance via API and introspect the full schema: Tickets, Companies, Queues, Assets, Custom Fields, SLA Rules, Change Management records, Time Entries, and attachment storage. We run a probe request to establish baseline API throughput given Mint SD's undocumented rate limits. We deliver a written scoping document that lists every source object, every custom field, the record count per object, the queue-to-rule mapping logic, the SLA disposition plan, and the asset data recommendation. The customer approves the scope before migration begins.

  2. Gorgias schema design and field provisioning

    We configure the destination Gorgias account: create Teams mapped from Mint SD Queues, create ticket fields (up to 25 active) mapped from Mint SD custom fields, configure Customer fields for Company data and asset data, set up Ticket Type and Status values matching the source taxonomy, and create Routing Rules that reproduce the queue routing logic. If the destination plan includes Gorgias SLA Rule templates, we configure those as well. All schema configuration is validated in a staging run before the production migration.

  3. Sample migration and reconciliation

    We run a test migration of a representative sample of records (typically 500-1,000 tickets across all queue types and status values) into a Gorgias staging environment. The customer's operations lead reviews the migrated records, validates the queue-to-team mapping, spot-checks attachment links, confirms the SLA documentation, and signs off. Any mapping corrections identified during the sample are applied to the production migration profile. No data is modified in the production Gorgias account until sample sign-off is received.

  4. Agent provisioning and queue permission audit

    We extract all Mint SD agents by email, map them to Gorgias agents, and provision the agent profiles in Gorgias with correct Team membership. Queue-level permission sets from Mint SD are documented in the migration manifest and mapped to Gorgias Team access. Any agent in Mint SD who is inactive or has left the organization is flagged; their tickets are reassigned to a default agent designated by the customer. We do not provision inactive agents in Gorgias unless the customer explicitly requests it for historical record-keeping purposes.

  5. Production migration in dependency order

    We run the production migration in record-dependency order: Customers (from Companies) first so that CustomerId is available for Ticket linkage; then Tickets with CustomerId resolved, Queue mapped to Team, SLA rule linkage documented, and all custom fields populated; then Attachments re-hosted to Gorgias storage with links updated on the parent Ticket; then Time Entries and Change Management records appended to their parent Tickets; then Agents provisioned. Each phase emits a row-count reconciliation report before the next phase begins. We throttle requests based on the baseline throughput established during discovery to avoid triggering any undocumented Mint SD API limits.

  6. Cutover, validation, and automation handoff

    We freeze writes to Mint SD during cutover, run a final delta migration of any records modified during the migration window, then enable Gorgias as the system of record. We deliver the full automation inventory: every Mint SD Queue routing rule mapped to a Gorgias Rule configuration step, every SLA definition with its threshold values and recommended Gorgias Rule template equivalent, every Change Management workflow as a written process note, and every asset record disposition decision documented. We do not rebuild Mint SD automations as Gorgias Rules or Flows inside the migration scope. We support a one-week hypercare window for reconciliation issues raised during the first week of live Gorgias operation.

Platform deep dives

Context on both ends of the pair

Mint Service Desk logo

Mint Service Desk

Source

Strengths

  • ITIL 4 certified with SLA management, change enablement, and time tracking built in.
  • Cloud and on-premise deployment options including air-gapped environments for regulated industries.
  • Competitive pricing for enterprise-grade ITSM features compared to Zendesk and ServiceNow.
  • Guided implementation and local support included with the product.
  • Configurable ticket number formats and queue-based routing to match diverse organizational structures.

Weaknesses

  • Limited public API documentation makes programmatic migration planning difficult without direct access to the Mint SD instance.
  • No publicly documented rate limits for the REST API — any limits would only surface during a live migration run.
  • Custom field schema varies per installation, requiring per-tenant mapping work rather than a one-size-fits-all export profile.
  • Integration ecosystem is narrower than larger platforms, with known gaps around Slack and Firebase connectivity.
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 Mint Service Desk 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

    Mint Service Desk: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Mint Service Desk to Gorgias migration cost

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

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Mint Service Desk to Gorgias data migrations

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

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Most migrations land between three and five weeks for accounts under 15,000 tickets and 5,000 companies with a straightforward queue-to-team mapping and no complex SLA reconstruction. Migrations with large custom field schemas (over 20 fields), multiple queue-to-rule remappings, asset record disposition decisions, or attachment volumes exceeding 10,000 files move to seven to eleven weeks because of schema redesign, Gorgias field limit planning, and attachment re-hosting time.

Adjacent paths

Related migrations to explore

Ready when you are

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