CRM migration

Migrate from FieldPro to Microsoft Dynamics 365 Sales

Field-level mapping, validation, and rollback between FieldPro and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .

FieldPro logo

FieldPro

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

100%

12 of 12

objects map 1:1 between FieldPro and Microsoft Dynamics 365 Sales .

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

FieldPro is a field-service and field-sales platform built around structured visit records, route data, outlet mapping, and retail-audit workflows — not a traditional CRM. Dynamics 365 Sales (built on Dataverse) organizes data around Account, Contact, Lead, and Opportunity tables with a pick-list-driven opportunity stage model. The migration challenge is threefold: (1) FieldPro's structured visit and route records have no native Dynamics 365 equivalent and must be mapped to custom tables or Activity entities; (2) FieldPro custom fields (common in mid-market deployments) require new_-prefixed custom columns in Dynamics 365, and their data types must be validated against Dataverse column restrictions; (3) FieldPro owner records (field agents, dispatchers) must resolve to Dynamics 365 SystemUser records by email lookup — unmatched owners get flagged before data lands. We do not migrate FieldPro workflows, routing rules, or third-party integrations (ERP connectors to NetSuite or Business Central, for example). Those must be rebuilt using Power Automate or the Dynamics 365 connector library post-migration. The migration runs via Dynamics 365 Web API (Dataverse) using batch Create/Update calls, with a 24–48 hour delta-pickup window capturing records modified between the initial extract and the cutover commit. Sample migrations of 100–200 records run first, generating field-level diffs so your admin can validate mapping before the full dataset commits.

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

FieldPro logo

FieldPro

What's pushing teams away

  • The platform's primary language is English, which creates friction for multinational distributors operating field teams in non-English-speaking markets.
  • Quarterly billing with a 10-user minimum means smaller teams pay for capacity they may not fully utilize, especially during off-peak seasons.
  • Documentation quality is inconsistent — advanced features like Detect image metadata and conditional field logic are not thoroughly documented publicly.
  • Integration costs are front-loaded: ERP sync setup runs €2,000 with €200/month ongoing, making the total cost of ownership significantly higher than the base per-user price.
  • Bugs and UI inconsistencies in the web dashboard are cited as ongoing maintenance burdens, requiring workarounds that disrupt reporting workflows.

Choosing

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

What's pulling them in

  • Deep Microsoft 365, Teams, and Outlook integration makes Microsoft Dynamics 365 Sales a natural fit for Microsoft-first organizations already invested in that ecosystem
  • Sales Enterprise and Premium tiers offer unlimited custom tables and advanced AI-driven forecasting and predictive analytics not available in lower tiers
  • Professional tier pricing at $65 per user per month offers a lower entry cost than Salesforce for SMB teams with straightforward CRM needs
  • Flexible customization options allow businesses to build bespoke apps, tailor forms and views, and integrate with other Dynamics 365 modules
  • Microsoft Copilot AI tools are embedded directly into the sales workflow on Enterprise and Premium, automating routine tasks and providing deal intelligence

Object mapping

How FieldPro objects map to Microsoft Dynamics 365 Sales

Each row shows how a FieldPro object lands in Microsoft Dynamics 365 Sales , including any object-level transformations, lookup resolution, or schema-design dependencies.

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

FieldPro

FieldPro User (field agent / dispatcher)

maps to

Microsoft Dynamics 365 Sales

SystemUser

1:1
Fully supported

FieldPro users map to Dynamics 365 SystemUser records. We match on email address — if a FieldPro user email matches an existing D365 user, the record inherits that OwnerId. Unmatched FieldPro users are flagged before migration; your admin either invites them to D365 first or assigns them to a fallback user who inherits their records.

FieldPro

Outlet / Point of Sale

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

FieldPro outlets (retail locations, distributor endpoints) map directly to Dynamics 365 Account records. We map the outlet name to Account.Name, the registered address fields to Address1 components, and store the original FieldPro outlet ID in a custom Source_Outlet_ID__c field for traceability. GPS coordinates from FieldPro (latitude/longitude) become custom decimal fields on the Account.

FieldPro

Contact (outlet contact, field agent)

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

FieldPro contact records on outlets map to Dynamics 365 Contact. Email, phone, mobile phone, job title, and address fields migrate directly. We resolve the primary account link by matching the outlet name — if the outlet already landed as an Account, the contact gets that AccountId lookup populated. Contacts without an email receive a generated placeholder email and are flagged for review.

FieldPro

Lead (prospect outlet pre-qualification)

maps to

Microsoft Dynamics 365 Sales

Lead

1:1
Fully supported

If FieldPro tracks outlet pre-qualification or prospect visits before a location is confirmed, those records map to Dynamics 365 Lead. Lead fields (firstname, lastname, email, company, phone) migrate directly. We preserve the original FieldPro createdate as Original_Create_Date__c since D365's CreatedOn is set at migration time.

FieldPro

Visit Record

maps to

Microsoft Dynamics 365 Sales

Custom Table (new_FieldProVisit) + Task

1:1
Fully supported

FieldPro visit records have no native D365 equivalent — the structured visit data (checklist responses, visit outcome, products observed, visit duration) maps to a new_ FieldProVisit custom table in Dataverse. The visit summary (date, outlet, agent, outcome) also creates a Task record on the related Account for timeline visibility. The custom table stores the full visit payload as JSON in a custom Long Text field for audit reference.

FieldPro

Route / Route Leg

maps to

Microsoft Dynamics 365 Sales

Custom Table (new_FieldProRoute)

1:1
Fully supported

FieldPro route definitions and individual route legs (ordered stops with arrival times) map to a new_ FieldProRoute custom table. Each route leg links to the related Outlet (Account) via a lookup field. Route optimization scores from FieldPro AI migrate as custom Number fields. Planned vs. actual arrival times are preserved as separate datetime fields for route-efficiency reporting in Power BI.

FieldPro

Order / Sales Transaction (FieldPro Direct)

maps to

Microsoft Dynamics 365 Sales

SalesOrder + OrderProduct

1:1
Fully supported

FieldPro Direct orders placed by retailers map to Dynamics 365 SalesOrder and OrderProduct records. Order number, order date, total amount, and status migrate directly. Line items map to OrderProduct with product name, quantity, and unit price. If FieldPro products use a different SKU schema than D365, we apply a value-map lookup or create placeholder products flagged for D365 admin reconciliation.

FieldPro

Product / SKU (FieldPro catalog)

maps to

Microsoft Dynamics 365 Sales

Product

1:1
Fully supported

FieldPro product catalog entries (name, SKU, description, unit price, category) map to Dynamics 365 Product records. Product type (stocked vs. non-stocked) is preserved as a custom field. If FieldPro organizes products into hierarchies that don't match D365's unit-group model, we map the top-level category to Product.Products [Default Business Unit] and surface sub-category as a custom field.

FieldPro

FieldPro Custom Object (user-defined)

maps to

Microsoft Dynamics 365 Sales

Custom Table (new_* Dataverse table)

1:1
Fully supported

Any FieldPro custom objects — common in distribution and agri-sourcing deployments where teams define bespoke data capture forms — map to new_ prefixed Dataverse tables. We create the custom table schema in D365, define the lookup relationships to Account or Contact, and migrate the records. N:N associations between custom objects map via Dataverse many-to-many relationship entities.

FieldPro

Attachment / Visit Photo / Signed Form

maps to

Microsoft Dynamics 365 Sales

SharePoint Document Location + Note

1:1
Fully supported

FieldPro blob attachments (visit photos, signed forms, compliance documents) are downloaded from FieldPro storage and re-uploaded to SharePoint Online linked to the relevant Account or Contact record. We create Document Location records in D365 pointing to the SharePoint folder so the files appear in the CRM timeline. If your D365 environment uses Notes attachments instead of SharePoint, we fall back to Note with file attachment (25MB limit enforced per file).

FieldPro

FieldPro Workflow / Route Automation

maps to

Microsoft Dynamics 365 Sales

Power Automate (not migrated)

1:1
Fully supported

FieldPro workflows — route-triggered notifications, visit-completion alerts, auto-assignment rules — have no direct equivalent in Dynamics 365 and do not migrate automatically. We export FieldPro workflow definitions as a reference JSON document your D365 admin can use to rebuild equivalent Power Automate flows. The export covers trigger conditions, action steps, and field references.

FieldPro

ERP Integration (NetSuite, Sage, SYSPRO, Business Central)

maps to

Microsoft Dynamics 365 Sales

Dataverse Connector / Power Automate (not migrated)

1:1
Fully supported

FieldPro's pre-built ERP connectors (Business Central, NetSuite, Sage CRM, SYSPRO) are platform-specific and cannot transfer to Dynamics 365. We document the current integration endpoints, field mappings, and sync frequency so your integration team can rebuild using the D365 Dataverse connector or Azure Logic Apps. If you use FieldPro Direct for B2B ordering, we provide a data model guide for mapping that flow to D365 Sales Order processing.

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.

FieldPro logo

FieldPro gotchas

High

Quarterly billing minimum masks true cost

High

License count is tied to all active mobile users

Medium

Detect module image metadata is separate from image files

Medium

ERP integrations must be rebuilt on the destination platform

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales gotchas

High

Professional tier 15-table custom table limit blocks migrations

High

October 2024 pricing increase applies at renewal for all customers

Medium

Custom fields must be created in the UI before API writes

Medium

Power Platform request limits apply to bulk migrations

Medium

Activity records orphaned to inactive owners fail silently

Pair-specific challenges

  • Visit record schema requires custom Dataverse table creation before migration

    FieldPro's structured visit records — the core data object in field-service and distribution deployments — have no equivalent in the Dynamics 365 Sales base schema. The Account, Contact, Lead, and Opportunity tables cover CRM relationships but not structured visit data with checklist responses, GPS timestamps, and visit outcomes. We create a new_FieldProVisit custom table in Dataverse, but this must be provisioned in your D365 environment before migration runs. If your D365 edition is Sales Professional, note that custom tables are limited to 15 tables total — Enterprise and Premium have unlimited custom tables. We audit your D365 edition before schema creation to confirm capacity.

  • FieldPro GPS coordinates require custom decimal fields — D365 has no native lat/long

    FieldPro captures latitude and longitude for every outlet and visit stop as part of its field-mapping module. Dynamics 365 Sales has no native geolocation fields on the Account table. We store GPS coordinates as custom decimal fields (new_GPSLatitude__decimal and new_GPSLongitude__decimal) on Account and the custom visit table. If you need map visualization, these fields can be consumed by Power Apps or a third-party map component, but D365's native timeline and Activity maps do not read these custom fields automatically — a Power BI or Power Apps layer is needed for geographic reporting.

  • FieldPro route optimization scores do not transfer as native D365 pipeline data

    FieldPro AI Route Optimization generates per-route efficiency scores and planned-vs-actual arrival time comparisons. These metrics live as custom Number fields in FieldPro with no native D365 equivalent — D365 Sales has no concept of route efficiency scoring in its base pipeline model. We migrate the optimization score as a new_OptimizationScore__number field on the custom route table. If your team uses these scores for agent performance reporting, you need a Power BI report that reads the custom Dataverse table — D365's native dashboards do not surface these values without custom development.

  • Sales Professional tier caps custom tables at 15 — Enterprise required for heavy custom object use

    FieldPro distribution and agri-sourcing deployments often use multiple custom object types (bespoke data capture forms, crop-specific checklists, distributor scoring matrices). If your D365 target is Sales Professional, you are limited to 15 custom tables in Dataverse. The base migration (Account, Contact, Lead, Opportunity, FieldProVisit, FieldProRoute, SalesOrder) consumes 7–8 tables, leaving limited headroom for additional custom objects. We flag this during the pre-migration audit — if you need more than 15 custom tables, your team must upgrade to Sales Enterprise before migration or drop lower-priority custom objects from scope.

  • FieldPro Direct B2B orders require product SKU reconciliation before order migration

    FieldPro Direct orders placed by retailers reference FieldPro's internal product catalog. When migrating orders to Dynamics 365 SalesOrder and SalesOrderDetail, the product reference must resolve to a D365 Product record. If FieldPro uses different SKU codes than your D365 product catalog, the migration creates unmatched line items. We run a pre-migration SKU reconciliation pass: products with matching SKUs link directly; products with no D365 match are created as placeholder records and flagged in the migration report for your product admin to reconcile post-migration before orders go live.

Migration approach

Six steps for a successful FieldPro to Microsoft Dynamics 365 Sales data migration

  1. Audit FieldPro data model and D365 edition

    We read your FieldPro export — users, outlets, visits, routes, orders, and all custom objects — and cross-reference against your target D365 edition (Professional vs. Enterprise). We identify every custom field in FieldPro, map it to either a D365 standard field or a new_ Dataverse custom column, and flag custom tables that exceed the Sales Professional 15-table cap. We deliver a schema setup checklist: which custom tables to create in D365, which Dataverse column types to use, and which custom fields your admin must provision before data lands.

  2. Resolve owners and users by email match

    FieldPro agents and dispatchers map to Dynamics 365 SystemUser records. We match FieldPro user emails against existing D365 users — matches inherit the correct OwnerId automatically. Unmatched FieldPro users are listed in a pre-migration owner report with one of two actions: invite the user to D365 first, or assign their records to a fallback owner. No record lands in D365 without a resolved owner; this prevents orphaned visit and route records after cutover.

  3. Migrate outlets and contacts before visits and orders

    Dynamics 365 requires foreign-key resolution in a specific order: Accounts must exist before Contacts (ParentCustomerId), Contacts before Opportunities, and Accounts before visit and order records. We sequence the migration: (1) FieldPro Users → D365 SystemUsers, (2) Outlets → Accounts with GPS custom fields, (3) Contacts linked to Accounts, (4) Leads, (5) Custom tables (FieldProVisit, FieldProRoute), (6) Products, (7) SalesOrders and SalesOrderDetails. Route legs are created after the route header records exist.

  4. Run sample migration with field-level diff

    A representative slice of 150–300 records migrates first — typically 50 outlets, 80 contacts, 40 visit records, 20 routes, and 10 orders. We generate a field-level diff: source FieldPro field value vs. destination D365 column value for every mapped field. Your admin reviews the diff to verify GPS coordinate mapping, custom pick-list value translations, owner resolution, and product SKU matching. No full migration runs until you sign off on the sample diff.

  5. Full migration with delta-pickup window

    The full dataset migrates via D365 Web API (Dataverse) batch operations — Create for new records, Update for existing records. A delta-pickup window opens at migration start and runs for 24–48 hours, capturing any FieldPro records created or modified during the cutover. All operations are logged in an audit trail. If reconciliation reveals missing records or mapping errors, one-click rollback reverts the batch so your team can correct and recommit. After rollback window closes, your admin receives a migration summary report with record counts, error log, and owner-unresolved flags.

  6. Deliver workflow export and integration rebuild guide

    FieldPro workflow definitions — route-triggered notifications, visit-completion alerts, auto-assignment rules — are exported as a JSON reference document with trigger conditions, action steps, and field references. This document goes to your D365 admin as a rebuild guide for Power Automate. Similarly, we deliver a data model summary of your FieldPro ERP integrations (Business Central, NetSuite, Sage CRM) so your integration team has the source field list and sync logic needed to rebuild those connections via the D365 Dataverse connector.

Platform deep dives

Context on both ends of the pair

FieldPro logo

FieldPro

Source

Strengths

  • Modular licensing (Core, Detect, Direct, AI) scales with operational complexity rather than forcing full-stack adoption.
  • Real-time field-to-office data flow reduces the lag between field activity and management reporting.
  • Deployment packages (Basic through Enterprise) provide structured onboarding paths for teams of different sizes.
  • GPS-tagged Visit and Outlet data gives a clean spatial record for distributor territory planning.

Weaknesses

  • Quarterly billing with minimum seat counts creates upfront commitment that mid-size distributors find difficult to adjust mid-contract.
  • English-only documentation and interface limit adoption in non-English-speaking field markets.
  • ERP integration setup carries significant one-time cost (€2,000 setup) that is not transparent in headline per-user pricing.
  • UI bugs and dashboard redesign needs generate support tickets that slow day-to-day operational use.
Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

Destination

Strengths

  • Native integration with Microsoft 365, Teams, Outlook, and SharePoint for unified productivity workflow
  • Unlimited custom tables and complex workflows on Enterprise tier enable deep customization for complex sales processes
  • AI-driven predictive analytics and deal intelligence on Enterprise and Premium tiers help sales teams prioritize pipeline
  • Dataverse unified data layer provides a consistent API and data model across all Dynamics 365 and Power Platform apps
  • Strong security model with Field-Level Security and Record Ownership rules for governance-conscious enterprises

Weaknesses

  • Sales Professional tier caps custom tables at 15, creating a migration ceiling for highly customized SMB environments
  • October 2024 pricing increases of $15 per user across all tiers apply to existing customers upon renewal
  • Implementation typically requires costly certified partners, adding 30–50% to total project cost
  • Updates and platform releases can disrupt customizations and plugins, requiring regression testing after each wave
  • Non-Microsoft integrations require additional configuration or middleware, limiting flexibility for heterogeneous tech stacks

Complexity grading

How hard is this migration?

Standard CRM migration. 1 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 FieldPro and Microsoft Dynamics 365 Sales .

  • Object compatibility

    B

    1 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

    FieldPro: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your FieldPro to Microsoft Dynamics 365 Sales 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 FieldPro to Microsoft Dynamics 365 Sales data migrations

Answers to the questions buyers ask most during FieldPro to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.

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For FieldPro deployments with under 50,000 total records (outlets, contacts, visits, routes, orders), the migration typically completes in 48–72 hours of clock time. Larger deployments with 200,000+ records or multiple custom objects (common in distribution and agri-sourcing) extend to 5–10 days. The longest single step is the schema setup phase — creating custom Dataverse tables and validating column types — which runs in parallel with D365 admin preparation and typically takes 3–5 business days before the first data batch moves.

Adjacent paths

Related migrations to explore

Ready when you are

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