Helpdesk migration

Migrate from Sprinklr Service to Gorgias

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

Sprinklr Service logo

Sprinklr Service

Source

Gorgias

Destination

Gorgias logo

Compatibility

92%

11 of 12

objects map 1:1 between Sprinklr Service and Gorgias.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Sprinklr Service to Gorgias is a step-down from a 30-plus channel enterprise CCaaS to a ticket-centric helpdesk built for ecommerce operations. Sprinklr structures cases as multi-channel conversation threads with separate entities for Agents, Teams, Custom Fields, and Knowledge Base articles; Gorgias consolidates most of this into Customers, Tickets, and a separate Knowledge Base module. We handle the schema translation: Sprinklr case channel source and agent assignment become Gorgias ticket tags and assignee; Sprinklr custom fields become Gorgias ticket attributes; Sprinklr Knowledge Base articles export as structured markdown and import into Gorgias Articles. Sprinklr's 1000 calls per hour API rate limit constrains large-volume extraction, so we use bulk export where available and paginated API fallback during off-peak windows. Automations, approval workflows, and SLA configuration do not migrate as code; we deliver a written inventory for the customer's team to rebuild in Gorgias.

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

Sprinklr Service logo

Sprinklr Service

What's pushing teams away

  • Pricing is fully opaque with no public list; contracts are negotiated per-organization and escalate significantly at renewal, making budget forecasting unreliable for finance teams.
  • The Advanced plan includes zero technical support — organizations pay thousands and still must engage a Success Manager for any configuration assistance.
  • Interface complexity and steep learning curve mean onboarding new agents takes weeks rather than days, especially for teams without prior enterprise CRM experience.
  • Module licensing structure means organizations often pay for capabilities they do not use; adding channels or AI features incrementally drives the total cost well above the initial quote.

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 Sprinklr Service objects map to Gorgias

Each row shows how a Sprinklr Service 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.

Sprinklr Service

Case

maps to

Gorgias

Ticket

1:1
Fully supported

Sprinklr Cases map to Gorgias Tickets. The Sprinklr case ID is preserved in a custom Gorgias ticket attribute for audit traceability. Channel source (email, chat, voice, social) from Sprinklr becomes a Gorgias ticket tag per channel. Agent assignment, SLA timestamps (First Response, Next Response, Resolution), and priority migrate to Gorgias assignee, SLA rules, and priority fields respectively. Message threads attach as Ticket Messages in chronological order.

Sprinklr Service

Contact

maps to

Gorgias

Customer

1:1
Fully supported

Sprinklr Contacts map to Gorgias Customers. The mapping is direct for contacts with a unique email address used as the dedupe key. Sprinklr custom contact properties migrate to Gorgias customer attributes. If the Sprinklr tenant uses linked Company records, we resolve the company association and map it to the Gorgias Customer organization field.

Sprinklr Service

Company

maps to

Gorgias

Customer (organization)

1:1
Fully supported

Sprinklr Companies map to the organization field on Gorgias Customers. Company custom properties (industry, size tier, account tier) become Gorgias customer attributes. If the Sprinklr implementation has contacts without a linked company, we create a standalone Gorgias customer record and flag it for manual review to confirm whether an organization association is appropriate.

Sprinklr Service

Agent

maps to

Gorgias

User (Agent)

1:1
Fully supported

Sprinklr Agent records (user profile, role assignment, team membership, skill tags) map to Gorgias Users with the Agent role. We resolve agents by email match. Skill-based routing metadata from Sprinklr is preserved as tags on the Gorgias User record. Agents without an email match are placed in a reconciliation queue for the customer to provision before record import resumes.

Sprinklr Service

Team

maps to

Gorgias

Team

1:1
Fully supported

Sprinklr Teams (agent groupings used for case routing and SLA management) map to Gorgias Teams. Team membership lists migrate as group membership records in Gorgias. If the Sprinklr implementation uses a hierarchical team structure, we flatten the hierarchy into Gorgias flat teams and preserve the parent-child relationship as a tag on each team.

Sprinklr Service

Custom Fields (on Case)

maps to

Gorgias

Ticket Attributes (custom fields)

1:1
Fully supported

Sprinklr custom fields on Cases map to Gorgias custom ticket fields. Picklist, multiselect, number, text, and date field types translate directly. Controlling-field hierarchies from Sprinklr (where a picklist value governs the visibility of child fields) cannot be reproduced in Gorgias; we flatten the controlling field values into tags on the ticket and flag the child field values for manual post-migration configuration in Gorgias Settings.

Sprinklr Service

Custom Fields (on Contact)

maps to

Gorgias

Customer Attributes

1:1
Fully supported

Sprinklr custom fields on Contacts map to Gorgias customer attributes. We export the full field definition per tenant from the Sprinklr Developer Portal and create equivalent custom attributes in Gorgias. Any cross-references to controlling fields are resolved using the controlling field value as a tag, consistent with the flattening approach used for case custom fields.

Sprinklr Service

Tag

maps to

Gorgias

Tag

1:1
Fully supported

Sprinklr Tags (applied across Cases and Contacts for classification) map to Gorgias Tags. Tag taxonomy is exported with parent-child relationships preserved as a naming convention (e.g., Region-North-America) or as separate tags linked by convention, depending on the volume and complexity of the source taxonomy.

Sprinklr Service

Knowledge Base Articles

maps to

Gorgias

Articles

1:1
Mapping required

Sprinklr KB articles export as structured content via the built-in KB export function or API. Articles include category, publish status, author, and external/internal URL metadata. We convert article content to Gorgias-compatible markdown and import into the Gorgias Articles module, preserving category assignments as article categories. Published status migrates directly; draft articles are imported with draft status and flagged for editorial review.

Sprinklr Service

Conversation / Message Thread

maps to

Gorgias

Ticket Message

1:1
Fully supported

Sprinklr message threads (inbound and outbound messages per case, tagged with channel, timestamp, sender, and content) map to Gorgias Ticket Messages. Each message in the thread becomes a separate message record attached to the target Gorgias Ticket. Channel metadata is preserved as message-level tags. Attachments migrate as file references where the attachment URL remains accessible post-migration.

Sprinklr Service

Custom Entities

maps to

Gorgias

Customer Attributes or External Reference

lossy
Mapping required

Sprinklr Custom Entity types (created via Entity Manager) are unique per tenant and may represent domain objects such as Subscriptions, Policies, or Contracts. Gorgias does not have a native custom entity model. We handle these in one of two ways depending on volume and relationship: for small entity sets with a clear link to Customer, we embed the most relevant fields as customer attributes; for large or complex custom entity sets, we flag them for a separate migration scope or a Gorgias custom integration build.

Sprinklr Service

Dashboard Exports

maps to

Gorgias

Report Package (delivered separately)

1:1
Fully supported

Sprinklr reporting dashboards and widget exports (PDF, Excel, CSV) are extracted directly and delivered as a structured report package alongside the data migration. Gorgias analytics cover ticket volume, response times, and agent performance but do not replicate Sprinklr's multi-channel reporting dimensions. Report rebuilding in Gorgias is documented as a post-migration task.

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.

Sprinklr Service logo

Sprinklr Service gotchas

High

API rate limit of 1000 calls/hour is a hard ceiling

Medium

Facebook platform disruptions propagate across the entire CCaaS stack

Medium

Account migration between workspaces drops draft messages and breaks mid-approval posts

Low

Knowledge Base sync requires Success Manager coordination

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

  • Sprinklr API rate limit of 1000 calls per hour constrains extraction speed

    Sprinklr's Developer Portal API enforces a 1000 calls per hour rate limit and a 10 calls per second burst ceiling. For large contact centers with millions of cases and message threads, polling-based export via the REST API is impractical within a reasonable migration window. We address this by prioritizing bulk export paths (Data Connector S3 or SFTP dump) where available in the customer's Sprinklr tier, falling back to paginated REST API calls during off-peak hours, and batching export requests across objects to minimize per-object call consumption. Custom entities require a separate Entity Manager export with schema flattening, which adds extraction complexity.

  • Gorgias has no native custom entity model

    Sprinklr's Entity Manager allows organizations to create fully custom entity types unique to their data model. Gorgias does not support custom entity objects. If the Sprinklr tenant uses custom entities that are integral to case context (such as linked Subscription or Policy records), we cannot import them as standalone records in Gorgias. We either embed the most relevant entity fields as customer attributes or flag the gap for a custom Gorgias integration built post-migration. This is a structural limitation, not a migration tooling gap.

  • Sprinklr controlling-field hierarchies do not translate to Gorgias

    Sprinklr supports controlling-field structures where a picklist multiselect field governs the visibility and available values of child custom fields at the asset (case or contact) level. Gorgias has no equivalent conditional field display model. We export the controlling field value as a ticket or customer tag, export the child field values as their actual field values, and flag the ticket for the customer's admin to manually configure equivalent field visibility rules in Gorgias if the conditional display logic is business-critical.

  • Draft messages and mid-approval posts do not transfer across workspaces

    Sprinklr's internal account migration feature does not copy draft outbound messages, and approval messages in an active tiered approval path continue their workflow in the source workspace even after migration. We export draft message content separately via the API before any workspace consolidation step and flag any cases with pending approval items so the customer can resolve them manually before migration proceeds. Drafts that cannot be reconciled are noted in the migration inventory as requiring manual re-entry in Gorgias.

  • Sprinklr Knowledge Base periodic sync requires Success Manager coordination

    Sprinklr's Knowledge Base supports periodic synchronization with an external CMS for bot flows and agent recommendations, but this configuration requires engagement with a Sprinklr Success Manager rather than self-service. We export the current KB article state and deliver it as a structured import package compatible with Gorgias Articles. Ongoing KB sync between the source and destination is flagged as an implementation task to be completed post-migration with the appropriate CMS integration setup.

Migration approach

Six steps for a successful Sprinklr Service to Gorgias data migration

  1. Discovery and Sprinklr environment audit

    We audit the source Sprinklr Service tenant across workspace structure, API rate limit tier, custom field definitions (including controlling-field hierarchies), custom entity schemas, KB article count and category taxonomy, and agent and team roster. We identify whether Data Connector bulk export (S3 or SFTP) is available in the customer's Sprinklr tier as an alternative to REST API extraction. The discovery output is a written migration scope document covering object inventory, estimated row counts, and a recommended extraction sequence given the rate limit constraints.

  2. Gorgias destination setup and schema provisioning

    We configure the Gorgias destination workspace before any data loads. This includes provisioning Users and Teams matched to the Sprinklr agent and team roster, creating custom ticket fields matched to Sprinklr custom fields (with controlling-field values converted to tags), and setting up the Knowledge Base article categories mapped to the Sprinklr KB taxonomy. SLA rules in Gorgias are configured based on the SLA timestamps extracted from Sprinklr cases.

  3. Sample migration and reconciliation

    We run a test migration using a representative sample of cases (typically 100-200 records across channel types) into a Gorgias staging environment. The customer reviews the mapped tickets, verifies that channel source tags are correct, confirms that custom field values are populated, and spot-checks 25-50 records against the Sprinklr source. Mapping corrections, field type adjustments, and tag taxonomy decisions are finalized during this phase before production migration begins.

  4. Production migration in dependency order

    We run production migration in record-dependency order: Users and Teams first (validated against the Sprinklr agent roster), then Customers (from Sprinklr Contacts and Companies), then Tickets (from Sprinklr Cases with message threads attached), then Tags (reconstructed against their parent records), then KB Articles (converted to markdown and imported into Gorgias Articles), then Custom Entities (embedded as customer attributes or flagged for separate scope). Each phase emits a row-count reconciliation report before the next phase begins. We use bulk export where available and paginated API fallback with exponential backoff during off-peak windows to stay within the 1000 calls per hour Sprinklr rate limit.

  5. Cutover, delta sync, and handoff

    We freeze Sprinklr case writes during the cutover window, run a final delta migration of any cases or messages modified during the migration window, then enable Gorgias as the system of record. We deliver the migration inventory document covering each object migrated, row counts, and any records flagged as partial or requiring manual follow-up. We provide a written inventory of Sprinklr automations, approval workflows, and SLA configurations requiring rebuild in Gorgias as a separate admin task. We support a one-week hypercare window for reconciliation issues raised by the customer's support team.

Platform deep dives

Context on both ends of the pair

Sprinklr Service logo

Sprinklr Service

Source

Strengths

  • Unified platform covering 30+ channels (voice, social, chat, email, messaging) under a single codebase and data layer.
  • AI-native contact center with built-in Agent Assist, sentiment analysis, intent detection, and real-time routing without add-on costs.
  • Documented enterprise scale — 3M reduced response time by 90%, Cdiscount improved CSAT by 15% with 2M+ voice calls analyzed.
  • API access via Developer Portal with documented endpoints for entities, custom fields, and data export; supports scheduled exports to S3 and SFTP.
  • Robust Knowledge Base with built-in import/export tooling and agent recommendation integration.

Weaknesses

  • Pricing is entirely opaque — no public price list; contracts are customized per organization, making comparison and budgeting difficult.
  • Advanced plan ships with no technical support, requiring separate paid engagement for any configuration help.
  • Steep learning curve and interface complexity — new agent onboarding takes significantly longer than simpler helpdesk tools.
  • Module-based licensing means customers often pay for modules they do not actively use; adding channels or AI features escalates cost substantially.
  • Knowledge Base one-time imports and periodic sync require coordination with a Success Manager, not self-service.
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?

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

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Sprinklr Service 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

    Sprinklr Service: 1,000 calls/hour per org; 10 calls/second per org.

  • Data volume sensitivity

    A

    Sprinklr Service exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Sprinklr Service 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 Sprinklr Service to Gorgias data migrations

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

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Most migrations land between three and five weeks for organizations with under 50,000 cases, a single Sprinklr workspace, and no complex custom entity schemas. Migrations with multi-workspace Sprinklr tenants, large custom entity sets, controlling-field hierarchies, or KB exports exceeding 500 articles move to six to ten weeks because of extraction sequencing under the Sprinklr API rate limit and article taxonomy redesign work in Gorgias.

Adjacent paths

Related migrations to explore

Ready when you are

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