Helpdesk migration
Field-level mapping, validation, and rollback between Logicalware and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.
Logicalware
Source
Gorgias
Destination
Compatibility
9 of 12
objects map 1:1 between Logicalware and Gorgias.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Logicalware dissolved in April 2023 and was absorbed into Puzzel, leaving no live API, developer portal, or vendor support. Every migration from Logicalware to Gorgias is a forensic data recovery exercise: we work from your surviving CSV or XML export artifacts, validate their structural integrity during scoping, and map what is present rather than assuming complete coverage. Tickets map to Tickets in Gorgias; Logicalware Customers map to Customers with phone, email, language, and timezone preserved where present in the export; thread-based Conversations flatten into individual message events linked to the parent ticket. Agent email addresses are almost certainly deactivated at the dissolved @logicalware.com domain, so we map each agent to a designated replacement owner in Gorgias during migration rather than allowing tickets to land in unmonitored mailboxes. Custom fields, channel metadata, and attachment references migrate only where the export artifacts include them. We do not migrate Rules, Macros, or Automations; we deliver a written inventory of every active Logicalware rule for your admin to rebuild in Gorgias.
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 Logicalware 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.
Logicalware
Ticket
Gorgias
Ticket
1:1Logicalware Ticket records map to Gorgias Ticket. We preserve ticket ID (as external_id), subject, body, status (open/pending/resolved), priority (low/medium/high/urgent), and all timestamps (created_at, updated_at, first_response_at) where present in the export. Custom ticket fields migrate only if structurally present in the export artifact; we document every custom field found and flag any that appear in Gorgias but have no source counterpart.
Logicalware
Customer (Contact Record)
Gorgias
Customer
1:1Logicalware Customer records map to Gorgias Customer. We map name, email, phone, language, and timezone from exported fields. The email address serves as the primary dedupe key. Any Customer records with no email are flagged for manual review before insertion because Gorgias requires an email for Customer creation via API. Email addresses at the @logicalware.com domain are mapped to the designated replacement owner email supplied during scoping.
Logicalware
Company
Gorgias
Organization
1:1Logicalware Company records map to Gorgias Organization. The organization name, website (domain), and any linked contact associations migrate directly. Organizations without associated customers in the export are flagged as potentially orphaned. In Gorgias, Organizations are optional but enable the customer-organization linkage that powers the order context sidebar in e-commerce workflows.
Logicalware
Conversation (Message Thread)
Gorgias
Message Event
1:1Logicalware Conversations thread multiple message events per ticket in chronological order. We flatten thread chronology into individual message records preserving sender (agent or customer), timestamp, and body text. Thread metadata such as reply-to headers and message IDs are preserved as external references. Multi-channel tickets (e.g., email routed to chat) that created mixed-channel threads in Logicalware may produce separate message segments in Gorgias, which we document in the mapping notes for admin awareness.
Logicalware
Agent
Gorgias
User
1:1Logicalware Agent records (name, email, role) map to Gorgias User. We resolve agents by email match against the destination Gorgias User table. Any @logicalware.com email addresses are almost certainly deactivated after the 2023 dissolution and cannot receive ticket assignments. We map each Logicalware agent to a designated replacement Gorgias User supplied by the customer during scoping. Agents referenced in tickets but not present in the export are held in a reconciliation queue.
Logicalware
Channel (Email, Live Chat, SMS, WhatsApp, Social)
Gorgias
Channel Tag
lossyLogicalware channel type is stored as a property on each ticket and message event. We preserve channel type as a ticket tag in Gorgias (e.g., #channel-email, #channel-live-chat) so agents can filter by originating channel. This tag-based approach is the standard method for surfacing channel provenance when Gorgias's native primary-channel field does not fully capture multi-channel ticket origins.
Logicalware
Attachment
Gorgias
Attachment
1:1File attachments on Logicalware tickets migrate as Gorgias Ticket Attachments linked to the parent message event. We flag any attachment references that point to URLs no longer accessible after the 2023 dissolution. We attempt to preserve the original filename, content type, and binary data where the export artifact includes the file; for URL-only references, we document the broken link in the migration report for manual recovery if the file is available elsewhere.
Logicalware
Tag / Label
Gorgias
Tag
1:1Logicalware tags applied to tickets for categorization migrate as Gorgias Ticket Tags. Tag names transfer directly without consolidation. Tags used for SLA categorization, team routing, or priority flagging in Logicalware are preserved with the same label so that filtering logic in Gorgias dashboards can be replicated by the admin using the same vocabulary.
Logicalware
Custom Field (per-account)
Gorgias
CustomField
lossyLogicalware custom fields added by individual accounts are not consistently included in export artifacts. We document every custom field present in the export, map its type (string, number, date, boolean, dropdown), and create the corresponding Gorgias CustomField with the original Logicalware field name stored in the external_id property for traceability. Custom fields present in Gorgias but absent from the source export are left unmapped and noted as requiring manual population post-migration.
Logicalware
SLA / Priority Mapping
Gorgias
Ticket Priority
lossyLogicalware priority levels (low, medium, high, urgent or equivalent) map directly to Gorgias Ticket priority values. If Logicalware used a numeric priority scale (1-5), we map it to Gorgias low/medium/high/urgent based on the value distribution in the export. SLA status fields are preserved as read-only ticket properties if the export includes them.
Logicalware
Message Automation Rules
Gorgias
Rule (not migrated)
1:1Logicalware keyword-triggered automation rules and routing configurations are not migrated as active code. We audit the export artifact and any surviving rule exports, document every active rule (trigger condition, keyword list, routing action, template response), and deliver the inventory to the customer as a written handoff. The customer's Gorgias admin uses this inventory to rebuild equivalent Rules in Gorgias. This is a documentation deliverable, not a data migration.
Logicalware
Macros / Saved Responses
Gorgias
Macro (not migrated)
1:1Logicalware saved response templates and macros do not migrate as executable code. We attempt to identify and list any template content referenced in ticket body exports, but template-to-macro reconstruction is not within migration scope. We deliver a list of identified templates with their source ticket references so the Gorgias admin can recreate them as Macros. This is a documentation deliverable.
| Logicalware | Gorgias | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| Customer (Contact Record) | Customer1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Conversation (Message Thread) | Message Event1:1 | Fully supported | |
| Agent | User1:1 | Fully supported | |
| Channel (Email, Live Chat, SMS, WhatsApp, Social) | Channel Taglossy | Fully supported | |
| Attachment | Attachment1:1 | Fully supported | |
| Tag / Label | Tag1:1 | Fully supported | |
| Custom Field (per-account) | CustomFieldlossy | Fully supported | |
| SLA / Priority Mapping | Ticket Prioritylossy | Fully supported | |
| Message Automation Rules | Rule (not migrated)1:1 | Fully supported | |
| Macros / Saved Responses | Macro (not migrated)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.
Logicalware gotchas
Company dissolution voids all SLA commitments
No public API or export endpoints documented
Agent email addresses may become stale post-dissolution
Multi-channel thread flattening may alter conversation context
Custom ticket fields export inconsistently
Gorgias gotchas
AI Agent adds outcome-based fees on top of billable ticket costs
Overage billing for tickets scales nonlinearly
API rate limits restrict bulk export throughput
Agent data visibility cannot be restricted by role for GDPR use cases
Knowledge Base translations require separate API calls per locale
Pair-specific challenges
Migration approach
Export artifact audit and integrity assessment
We begin by reviewing whatever export files the customer still possesses from Logicalware. This includes CSV or XML dumps of Tickets, Customers, Companies, Conversations, Agents, and Attachments. We validate structural completeness: are ticket bodies present or are only ticket headers exported? Are attachment binaries included or only URL references? Are custom field definitions included in the export or only the standard fields? The output of this step is a written Export Integrity Report that itemizes every object and field present in the export, every field that is absent, and a migration viability recommendation. We will advise against proceeding if the export is too incomplete to produce a meaningful dataset.
Agent reconciliation and replacement owner mapping
We extract every distinct Logicalware agent referenced in tickets and conversations and cross-reference them against the customer's designated Gorgias User list. Agents with @logicalware.com email addresses are mapped to the replacement owner supplied by the customer. We produce an Agent Reconciliation Report listing each Logicalware agent, their mapped Gorgias counterpart, and any agents with no clear replacement (held in queue for manual assignment). Migration cannot proceed past this step because ticket ownership requires a valid Gorgias User ID.
Gorgias destination configuration
We configure the Gorgias destination account before any data insertion. This includes disabling active Rules in Gorgias (Automation > Rules) to prevent automated actions from firing on incoming migrated records, creating any CustomFields in Gorgias that correspond to Logicalware custom fields found in the export, and confirming the Customer and Organization objects are active in the destination account. We also set the import preference for handling duplicate emails (Gorgias's default is to merge on email match, which aligns with our dedupe strategy).
Data transformation and export normalization
We transform Logicalware export records into the JSON and API payloads required by Gorgias. Ticket bodies, message bodies, and note content are cleaned of Logicalware-specific formatting and sanitized for UTF-8 compatibility. Channel metadata from Logicalware is encoded as #channel-* tags on each message event. Timestamps are normalized to UTC. Customer records are deduplicated by email; records with no email are flagged for manual review. Attachment URL references are replaced with null if the linked resource is inaccessible, and the original URL is preserved in the migration report.
API insertion with rate-limit handling and reconciliation
We insert records into Gorgias using the REST API with batch chunking and exponential backoff. Insertion follows dependency order: Customers first (and Organizations if used), then Tickets (with Customer ID lookups resolved), then Message events (with parent Ticket ID resolved), then Tags applied to tickets. We track inserted record IDs and reconcile row counts at each phase. Any record rejected by Gorgias (validation error, missing required field, rate limit) is logged to a rejection report and retried in a subsequent batch with corrected payloads.
Cutover, delta migration, and automation handoff
We freeze Logicalware writes during the cutover window, run a final delta migration of any records created or modified since the initial export, then mark Gorgias as the system of record. We deliver the Rule and Macro inventory document to the customer's admin team for rebuild in Gorgias. We support a 72-hour hypercare window to resolve reconciliation issues raised by the support team. We do not rebuild Logicalware automations as Gorgias Rules or Macros within the migration scope; that work uses the delivered inventory and falls to the customer's admin team or a separate Gorgias implementation engagement.
Platform deep dives
Logicalware
Source
Strengths
Weaknesses
Gorgias
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 4 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Logicalware and Gorgias.
Object compatibility
4 of 7 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
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Logicalware: Not publicly documented.
Data volume sensitivity
Logicalware 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
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