Shedul + Tanda

Connect Shedul to Tanda - Automate Your Workflow

Australian Healthcare & Allied Health businesses rely on both Shedul and Tanda. Our custom one-way integration keeps them in sync, saving your team 8+ hours/week and eliminating data entry errors.

8+ hours/week

Saved weekly

98%

Client retention

Tanda fields

One-way

Sync direction

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Why Connect Shedul to Tanda?

Shedul uses a REST API while Tanda uses REST + Webhook, requiring careful middleware to translate data formats between the two platforms

Shedul limitations compound the integration challenge: now part of the Fresha platform, with existing Shedul accounts being migrated, creating uncertainty about standalone feature availability

Employee records must be updated separately in Shedul and Tanda, causing payroll discrepancies when changes are missed

Online orders in Shedul and in-store inventory in Tanda are never in sync, frustrating customers

Patient appointment data in Shedul and billing records in Tanda require double entry, risking compliance issues

Manually copying data between Shedul and Tanda wastes hours every week that could be spent on revenue-generating work

No single source of truth when employees live in two disconnected tools, so staff second-guess which system has the correct information

New team members take longer to onboard because they must learn manual workarounds to keep Shedul and Tanda aligned

How We Help

Every week without this integration costs your Healthcare & Allied Health and Retail & E-commerce business 8+ hours/week in manual data handling between Shedul and Tanda. Our Harvard-educated consultants build a sync that eliminates that waste permanently. On the technical side, Tanda authenticates via bearer, which our team handles as part of the build.

Amplify Shedul Strengths

Shedul excels because free salon management software with online booking, client management, POS, and basic marketing at no cost. Connecting it to Tanda ensures that advantage flows through your entire workflow rather than staying siloed in one tool.

Scalable Without Extra Headcount

As your data volume grows, the integration scales with you. No need to hire additional admin staff to keep Shedul and Tanda in sync, even as your business doubles.

Real-Time Visibility Across Teams

When a record updates in Shedul, every team member working in Tanda sees the change instantly. No lag, no stale dashboards, no conflicting reports.

Built-In Error Handling and Alerts

Our integrations include automatic retries, error queuing, and real-time notifications. If something fails between Shedul and Tanda, your team knows immediately and the system self-recovers where possible.

Shedul to Tanda Use Cases

Automate employee data flow between Shedul and Tanda

New hires, role changes, and departures in Shedul are automatically reflected in Tanda. Eliminates the manual re-entry that causes payroll errors and delayed access provisioning.

Automated error handling and retry for Shedul/Tanda sync

When a sync between Shedul and Tanda fails due to a rate limit, network issue, or validation error, the integration retries automatically with exponential backoff. Your team is alerted only when intervention is genuinely needed.

Data Mapping

How data flows between Shedul and Tanda

Shedul	→	Tanda	Notes
Shedul Staff	→	Tanda Employees	Employee records including personal details, roles, and department data synchronised for HR and payroll alignment.
Shedul Timestamps	→	Tanda Audit Log	Created and modified timestamps preserved for sync conflict resolution and compliance
Shedul Record IDs	→	Tanda External References	Cross-reference identifiers stored on both records for bidirectional lookups and deduplication
Shedul Owner/Assignee	→	Tanda Owner/Assignee	Record ownership mapped between platforms using email address as the matching key
Shedul Appointments	→	Tanda Custom Fields	Appointments data from Shedul stored in Tanda custom fields for reference
Shedul Products	→	Tanda Custom Fields	Products data from Shedul stored in Tanda custom fields for reference
Shedul Clients	→	Tanda Custom Fields	Clients data from Shedul stored in Tanda custom fields for reference
Shedul Services	→	Tanda Custom Fields	Services data from Shedul stored in Tanda custom fields for reference

Shedul + Tanda Integration FAQ

The most common data objects synced between Shedul and Tanda include employees. We map each data type to its counterpart in the target system, including custom fields, metadata, and relationship data. The exact scope is tailored to your workflow during the discovery session.

Yes. We have built integrations for Healthcare & Allied Health businesses that rely on both Shedul and Tanda. The integration is customised to your industry-specific workflows, data structures, and compliance requirements. Book Free Assessment to discuss your specific needs.

Most Shedul to Tanda integrations are completed within 2 weeks. We start with a discovery session to understand your specific workflow, then build and test the integration. Complex setups with custom business logic may take up to 4-8 weeks.

We use a combination of direct REST API connections and automation platforms like Make, Zapier, or n8n, depending on your requirements and budget. For complex workflows, we build custom middleware. The right approach depends on your volume, sync frequency, and business rules.

Yes. All data is transferred over encrypted connections (TLS/SSL). We follow least-privilege API access, never store credentials in plain text, and log all sync activity for audit purposes. For Australian businesses with compliance requirements, we can implement additional safeguards.

Our integrations include retry logic and error queuing. If Tanda is temporarily down, changes are queued and replayed once the system recovers. You will receive alerts for any sync failures that need attention. No data is lost during outages.

Yes. we poll Shedul's REST API at configurable intervals for near-real-time detection, and Tanda also provides webhook support for bidirectional triggers. Changes in Shedul are reflected in Tanda within seconds. For high-volume scenarios, we implement queuing to handle peak loads without data loss.