CRM migration

Migrate from STEL Order to Pipedrive

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

STEL Order logo

STEL Order

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

10 of 10

objects map 1:1 between STEL Order and Pipedrive.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

STEL Order is a field-service and ERP platform built around clients, work orders, quotes, invoices, products, and scheduling. Pipedrive is a sales CRM built around Persons, Organizations, Deals, Products, Activities, and Leads. The migration maps STEL Order's operational records into Pipedrive's sales-oriented object model: clients and contacts land as Persons and Organizations, quotes and orders land as Deals with custom fields for document metadata, and products migrate to Pipedrive's Products object. Work orders and asset records have no native Pipedrive equivalent — FlitStack AI surfaces them as custom fields on Deals and preserves their full metadata in a migration reference export so your team can rebuild scheduling workflows in Pipedrive Automations. The migration uses STEL Order's REST API (60 calls/min on Lite, 1000/day on Business, 2000/day on Pro) to extract all records in ISO 8601 format, then maps, transforms, and loads into Pipedrive via its REST API respecting token-based rate limits. No workflows, automations, or scheduling rules migrate — those require manual rebuild in Pipedrive.

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

STEL Order logo

STEL Order

What's pushing teams away

  • Limited international documentation and primarily Spanish-language support creates friction for non-Spanish speaking teams evaluating the platform for global use.
  • API documentation is not publicly detailed, making custom integrations and automated data pipelines difficult to implement without direct vendor support.
  • Small review sample size (4 verified reviews) makes it difficult to assess long-term reliability and identify systemic issues before committing to the platform.

Choosing

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How STEL Order objects map to Pipedrive

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

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

STEL Order

Client

maps to

Pipedrive

Organization

1:1
Fully supported

STEL Order clients (companies) map directly to Pipedrive Organizations. Client name populates the Organization name, while client address, city, state, and country fields are mapped to the corresponding Pipedrive address components. The primary contact for each client is created as a Person record and linked to the Organization via the org_id relationship. Any client-level custom properties are transferred as Organization custom fields for complete fidelity.

STEL Order

Contact

maps to

Pipedrive

Person

1:1
Fully supported

STEL Order contact persons map to Pipedrive Persons. Each contact is linked to its parent Client/Organization via the Organization ID field. Core fields such as email, phone, mobile, job title, fax, and address migrate directly. Additional notes or internal comments are stored as the Person note field. When multiple contacts share the same client, they become individual Person records linked to the same Organization, preserving the relationship hierarchy.

STEL Order

Product

maps to

Pipedrive

Product

1:1
Fully supported

STEL Order products map to Pipedrive Products with name, code, price, unit, description, and category fields preserved directly. Since Pipedrive lacks native inventory tracking, stock quantity and warehouse assignments are stored as custom fields (Stock_Quantity__c and Warehouse__c). Tax rate is also kept as a custom field (Tax_Rate__c) because Pipedrive Products do not support per-product tax rates. This ensures all key product attributes are available for quoting and reporting.

STEL Order

Quote

maps to

Pipedrive

Deal

1:1
Fully supported

STEL Order quotes migrate as Pipedrive Deals with a 'Quote' label in a custom status field. Quote-specific metadata — quote number, validity date, discount percentage — migrates as custom fields. Line items are preserved in deal notes since Pipedrive Deals do not natively support multi-line item products.

STEL Order

Order

maps to

Pipedrive

Deal

1:1
Fully supported

STEL Order sales orders map to Pipedrive Deals with 'Order' as a custom label. Order metadata (order number, order date, shipping address) becomes custom fields on the Deal. The associated Client and Contact IDs are resolved to Pipedrive Organization and Person lookups.

STEL Order

Invoice

maps to

Pipedrive

Deal (closed)

1:1
Fully supported

STEL Order invoices migrate as closed Pipedrive Deals (or Activity notes) with invoice metadata — invoice number, issue date, due date, total amount, payment status — preserved as custom fields. Paid status maps to a Pipedrive Activity note recording the payment event.

STEL Order

Work Order

maps to

Pipedrive

Deal (custom fields)

1:1
Fully supported

Pipedrive has no native work order object. STEL Order work orders — with status, assigned technician, scheduled date, location, and line items — migrate as Pipedrive Deals with a dense set of custom fields and a full work-order summary stored in the deal notes. Scheduling logic requires manual rebuild using Pipedrive Automations post-migration.

STEL Order

Asset

maps to

Pipedrive

Organization (custom fields)

1:1
Fully supported

STEL Order customer assets — such as equipment, serial numbers, warranty details — map to Organization custom fields and a linked Note record for descriptive information. The asset-to-client relationship is preserved by linking the asset record to the corresponding Organization. Warranty expiration dates and asset status (active, retired, under repair) become custom fields on the Organization, allowing your team to view asset data directly within Pipedrive.

STEL Order

Payment

maps to

Pipedrive

Activity (Note)

1:1
Fully supported

STEL Order payment records — amount, date, payment method, associated invoice — have no native Pipedrive equivalent. FlitStack AI preserves full payment history as Activity notes on the associated Deal and exports a complete payments reference sheet alongside the migration for reconciliation.

STEL Order

User / Owner

maps to

Pipedrive

User

1:1
Fully supported

STEL Order users and technicians are matched to Pipedrive users by email address. Unmatched owners are flagged before migration and assigned to a fallback Pipedrive user to avoid orphaned records. Active/inactive status is respected from the STEL Order user record.

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.

STEL Order logo

STEL Order gotchas

High

Offline-created records may not sync to cloud before export

Medium

Bulk import requires manual CSV/Excel formatting

Medium

Payment gateway references do not transfer as linked transactions

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • STEL Order API daily rate limits constrain large export windows

    STEL Order's API enforces per-plan daily call ceilings: Lite caps at 300 calls/day, Business at 1,000 calls/day, and Pro at 2,000 calls/day. All plans share a 60 calls/minute floor. For a migration with 20,000+ records across clients, contacts, products, orders, invoices, and work orders, these limits mean the export phase may require multiple days of staggered API calls rather than a single batch pull. FlitStack AI paces requests within these limits, pre-queries record counts per endpoint, and schedules extraction windows that complete within the daily ceiling so no records are missed during a single migration run.

  • Work orders have no Pipedrive native equivalent and require custom field reconstruction

    STEL Order's Work Orders module stores structured records with status, assigned technician, scheduled date/time, site location, line items, and client signature. Pipedrive has no native work order or field-service object — Deals do not support technician assignments, scheduling dates, or site-address fields natively. FlitStack AI migrates every work order as a Pipedrive Deal with a comprehensive set of custom fields (Work_Order_Number__c, Scheduled_Date__c, Work_Site_Address__c, Technician__c, Work_Order_Status__c) plus a full work-order summary in deal notes. However, Pipedrive Automations cannot natively trigger off these custom fields the way STEL Order triggers scheduling actions — your team will need to rebuild scheduling and dispatch logic in Pipedrive's Automation builder or via a field-service integration like Jobber or FieldEdge.

  • Pipedrive custom field keys are account-specific hashes — not human-readable names

    Pipedrive generates a random 40-character hash as the API key for each custom field, and these hashes differ between Pipedrive accounts even for identically named fields. STEL Order custom field names are free-form strings. FlitStack AI creates custom fields in the target Pipedrive account during the migration, captures the returned hash keys, and uses those hash keys for all subsequent data writes. This means the field_mapping plan references the STEL Order field names, but the actual Pipedrive API writes use account-specific hash keys — preventing the common migration failure where data lands in the wrong custom field or is silently rejected.

  • Invoice and payment data cannot become native Pipedrive records — only deal notes and custom fields

    Pipedrive has no native invoice object. STEL Order invoice records — with invoice number, issue date, due date, line items, tax amounts, and payment status — can only be preserved as closed Pipedrive Deals with custom fields (Invoice_Number__c, Invoice_Date__c, Due_Date__c, Payment_Status__c) and Activity notes recording payment events. Pipedrive's Smart Docs add-on supports quote templates but not invoice generation. The full invoice and payment history reference sheet is exported alongside the migration so your accounting team can cross-reference records in STEL Order post-migration if needed.

  • STEL Order product stock and warehouse data has no Pipedrive equivalent

    STEL Order's product catalog includes stock quantities per warehouse, reorder levels, and bundled product configurations. Pipedrive's Products module stores product name, code, price, and description for sales quoting — it does not track inventory levels or support multi-warehouse setups. FlitStack AI migrates stock quantity as a Stock_Quantity__c custom field on each Pipedrive Product, and warehouse assignments as Warehouse__c custom fields, but this is reference data only. Teams that need live inventory sync between Pipedrive and an ERP must implement a separate integration (such as QuickBooks, Xero, or a custom API connector) post-migration.

Migration approach

Six steps for a successful STEL Order to Pipedrive data migration

  1. Audit STEL Order data volume and API rate limit tier

    FlitStack AI first connects to the STEL Order API under the customer's API key and runs a pre-migration audit: it queries all endpoints (clients, contacts, products, quotes, orders, invoices, work orders, assets, users) to count records per object type and confirm the account's plan tier (Lite/Business/Pro). This count determines the export pacing schedule needed to stay within the 300–2,000 daily call ceiling. The audit also identifies which custom properties exist on each object and whether any records are soft-deleted or archived in STEL Order — those are flagged for exclusion unless explicitly requested.

  2. Create Pipedrive custom fields and resolve user assignments

    Before any data moves, FlitStack AI creates all required custom fields in the target Pipedrive account via the /api/v1/{object}Fields endpoints, capturing the returned hash keys for each field. STEL Order users and technicians are matched to Pipedrive users by email address. Any STEL Order user without a corresponding Pipedrive account is flagged and assigned to a designated fallback owner so no migrated record lands without an owner assignment. This step also creates the Pipedrive pipelines and stages needed for the deal migration — the number of distinct STEL Order document types (quotes, orders, invoices, work orders) determines how many Pipedrive pipelines are configured.

  3. Export and sequence STEL Order records in dependency order

    STEL Order records are extracted in the correct dependency sequence: Organizations (clients) first, then Persons (contacts) with org_id resolution, then Products, then Deals (quotes, orders, work orders, invoices) with person and org lookups resolved. STEL Order's ISO 8601 timestamps are preserved as custom fields on each Pipedrive record since Pipedrive's CreatedDate reflects migration time, not the original record creation date. Work orders are exported as Deals with a dense set of custom fields and a full text summary in deal notes. Attachments — client logos, product images, signed work-order documents — are downloaded from STEL Order and re-uploaded to Pipedrive Files linked to the corresponding record.

  4. Run sample migration with field-level diff

    A representative slice — typically 100–300 records spanning clients, contacts, products, and all document types (quotes, orders, work orders, invoices) — migrates first. FlitStack AI generates a field-level diff comparing every STEL Order source field value against the corresponding Pipedrive field. You review the diff to verify: client-to-organization mapping, work order custom field population, invoice payment status encoding, and owner resolution. You can request field mapping adjustments before the full run commits. This step typically runs over 2–4 hours and surfaces any value-mapping gaps before the production migration begins.

  5. Full migration with delta-pickup and audit log

    The full migration runs against the production Pipedrive account using the validated field mapping. A delta-pickup window — typically 24–48 hours — runs concurrently with your team continuing to work in STEL Order during the cutover period. Any records created or modified in STEL Order after the initial extraction are captured in the delta pass. FlitStack AI generates a complete audit log listing every record migrated, its source ID, destination ID, and migration timestamp. One-click rollback reverts all Pipedrive records to pre-migration state if reconciliation fails. After rollback confirmation, the work-order summary export and payments reference sheet are delivered alongside the audit log for post-migration reconciliation.

Platform deep dives

Context on both ends of the pair

STEL Order logo

STEL Order

Source

Strengths

  • Comprehensive FSM suite combining scheduling, invoicing, inventory, and CRM in a single platform
  • Offline-capable mobile apps for Android and iOS enable field technicians to work without internet
  • Bulk CSV and Excel import for rapid data onboarding from spreadsheets or legacy systems
  • Stripe and PayPal payment integration provides immediate online payment collection
  • Per-user pricing with 1-on-1 onboarding and 24/7 support offers accessible entry for small businesses

Weaknesses

  • Limited publicly available API documentation restricts custom integration development
  • Primarily Spanish-language documentation and support may hinder non-Spanish speaking users
  • Small verified review sample (4 reviews) makes platform reliability assessment difficult
  • File-based bulk import (CSV/Excel) lacks real-time sync capabilities for ongoing data movement
  • Equipment and asset management features are functional but less mature than dedicated CMMS platforms
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 of 8 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 STEL Order and Pipedrive.

  • Object compatibility

    B

    3 of 8 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

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

  • API constraints

    B

    STEL Order: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your STEL Order to Pipedrive 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 STEL Order to Pipedrive data migrations

Answers to the questions buyers ask most during STEL Order to Pipedrive migration scoping. Not seeing yours? Book a call.

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Most STEL Order to Pipedrive migrations complete in 48–72 hours of clock time for under 5,000 total records across clients, contacts, products, quotes, orders, and work orders. Larger exports with 50,000+ records — especially across multiple STEL Order document types — extend to 5–10 days due to STEL Order's API daily rate limits (300–2,000 calls/day depending on plan tier). Mapping work orders to Pipedrive Deal custom fields and value-mapping STEL Order document statuses to Pipedrive deal stages are the longest planning steps before data movement begins.

Adjacent paths

Related migrations to explore

Ready when you are

Move from STEL Order.
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