ERP migration

Migrate from daftra to Epicor Prophet 21

Field-level mapping, validation, and rollback between daftra and Epicor Prophet 21. We move data and schema; workflows are rebuilt natively in Epicor Prophet 21.

daftra logo

daftra

Source

Epicor Prophet 21

Destination

Epicor Prophet 21 logo

Compatibility

67%

8 of 12

objects map 1:1 between daftra and Epicor Prophet 21.

Complexity

BStandard

Timeline

5-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Daftra to Epicor ERP is a structural redesign across two fundamentally different ERP philosophies. Daftra is a MENA-oriented, multi-module SaaS ERP that bundles CRM, HRM, accounting, inventory, and operations under a single Arabic-first subscription. Epicor ERP — specifically the Kinetic interface — is a manufacturing-centric enterprise platform for discrete and mixed-mode producers that requires explicit hierarchical loading of master data before transactional records can post. We resolve that sequencing gap during scoping: Chart of Accounts loads first in account-code order to establish posting hierarchy, followed by Cost Centers, then master data (Customers, Suppliers, Employees, Parts), then open transactional records (Work Orders, Invoices, Expenses), then historical data. Daftra's Cheque Cycle, membership points, and insurance records have no native Epicor equivalent — we preserve these in supplementary custom fields or as separate notes records for the customer's Epicor admin to allocate post-migration. Daftra's undocumented API means we coordinate with Daftra's technical team to obtain data extraction endpoints before we can build the migration pipeline, which adds two to four weeks to discovery. Workflows, dynamic field automations, and the Daftra field-builder configurations do not migrate; we deliver a written inventory for the customer's admin to rebuild in Epicor Kinetic.

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

daftra logo

daftra

What's pushing teams away

  • Multi-module complexity leads to feature gaps within each individual module — customers who need deep accounting or deep HRM report Daftra's capabilities feel shallower than specialized alternatives.
  • Support responsiveness varies significantly; users report long resolution times for technical issues outside standard business hours.
  • Customization limits on reports and dashboards frustrate power users who need advanced financial reporting or KPI visualization.
  • Platform lacks transparent public API documentation, making it difficult for technical teams to build custom integrations or export data programmatically without vendor assistance.

Choosing

Epicor Prophet 21 logo

Epicor Prophet 21

What's pulling them in

  • Industry-specific design for wholesale distributors, not a general-purpose ERP repurposed for distribution — distributors choose P21 because it matches their replenishment, kitting, and counter-sale workflows out of the box.
  • Strong inventory control with automated replenishment, lot and serial tracking, and multi-warehouse management appeals to distributors with complex stock requirements and tight margin pressure.
  • Responsive customer support cited across G2 and Gartner reviews, with Epicor's 90% retention rate reflecting long-term customer satisfaction in a market where switching costs are high.
  • Cloud deployment on Microsoft Azure provides the flexibility to scale user counts and warehouse locations without on-premise infrastructure investment.
  • The Software Development Kit lets distributors personalize P21 to their specific business processes without modifying the application source code, preserving upgrade paths.

Object mapping

How daftra objects map to Epicor Prophet 21

Each row shows how a daftra object lands in Epicor Prophet 21, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

daftra

Chart of Accounts

maps to

Epicor Prophet 21

GL Account

lossy
Fully supported

Daftra's Chart of Accounts is exported as a flat table with account type (asset, liability, revenue, expense) but without an explicit parent_id column. We reconstruct the hierarchical posting tree during discovery by parsing account codes (Daftra uses dot-notation like 1000.100.01 to indicate parent-child relationships). Accounts load into Epicor GL Account in account-code order to satisfy posting hierarchy requirements. Sub-account parent references are resolved at migration time against the reconstructed tree. Cost Centers from Daftra map to Epicor GL Account Category Codes or a dedicated Cost Center custom field depending on the destination Epicor company's chart configuration.

daftra

Clients

maps to

Epicor Prophet 21

Customer

1:1
Fully supported

Daftra Client records map to Epicor Customer. We extract contact details, follow-up history, memberships, points, and insurance references as supplementary fields on the Customer record or in related tables. Client Follow-Up activity logs migrate as CRM Activity records (Task or ToDo) linked to the Customer. Membership points, insurance records, and sales commission settings (Daftra Advanced and Comprehensive plans) have no native Epicor equivalent — we preserve these as custom fields on Customer or as Notes attached to the Customer record for the customer's Epicor admin to allocate to the appropriate module.

daftra

Products & Services

maps to

Epicor Prophet 21

Part or Service

1:1
Fully supported

Daftra Products and Services export includes pricing tiers, SKU, stock levels, and supplier links. Products map to Epicor Part (with PartType = Stock or Non-Stock), Services map to Epicor Service. Custom fields on Products migrate to UD fields on Part. We extract the supplier links as VendorPart records in Epicor's Supplier cross-reference table. SKU maps to Part Number; stock levels map to PartWhse (Part Warehouse) records.

daftra

Invoices

maps to

Epicor Prophet 21

AR Invoice

1:1
Mapping required

Daftra Invoices carry line items, taxes, installment schedules, and sales commission assignments. We map to Epicor AR Invoice (or the equivalent in Epicor's financial module). The invoice balance and installment schedule are preserved as separate fields or as linked Payment records in Epicor's Payment Entry. Custom fields on Invoices (Daftra field-builder) are enumerated per object during discovery and mapped to UD fields on the Epicor Invoice header or line. Closed invoices with zero balance migrate as historical records; open invoices migrate with their outstanding balance.

daftra

Expenses

maps to

Epicor Prophet 21

AP Invoice or GL Journal

1:1
Fully supported

Daftra Expenses map to Epicor AP Invoice (for vendor-linked expenses) or GL Journal Entry (for non-vendor expenses). We extract expense category, date, amount, and attachment references. Recurring expense patterns are preserved as a flag on the migrated record. Expenses link to the Chart of Accounts (GL Account mapping already resolved in order 1) and to Cost Centers where applicable.

daftra

Cost Centers

maps to

Epicor Prophet 21

GL Account Category or UD Field

lossy
Mapping required

Daftra Cost Centers are used for expense attribution across departments or projects. The linking between Cost Centers and individual transactions requires field-level extraction since Daftra's export does not include the full transaction-CostCenter join in a single table. We build this join during discovery and map Cost Centers to either Epicor GL Account Category Codes (if the Epicor company uses category-level reporting) or to a UD field on the GL Journal Entry or AP/AR Invoice depending on the destination company's reporting structure.

daftra

Employees

maps to

Epicor Prophet 21

Employee or Demand Worker

1:1
Mapping required

Daftra Employee records include Organizational Structure placement, Contracts, Attendance, and Payroll. Compensation history is stored as a time-series within the employee record — we extract each payroll entry as a separate labor record or HR record in Epicor's HRM module (Demand Worker or Employee depending on Epicor edition). Contracts migrate as LaborRate records or HR records with start/end dates and compensation terms. Custom fields on Employees are enumerated and mapped to UD fields on the Epicor Employee record.

daftra

Assets

maps to

Epicor Prophet 21

Asset

1:1
Mapping required

Daftra Fixed Assets include custom fields added per-asset and separate depreciation schedule records. We map to Epicor Asset Management (Asset register). Asset depreciation schedules are extracted separately from the asset master record and loaded as Depreciation Detail records in Epicor. Custom fields on Assets are enumerated during discovery and mapped to UD fields on the Asset record. Asset category maps to Epicor Asset Class.

daftra

Work Orders

maps to

Epicor Prophet 21

Job or FSM Service Order

1:1
Fully supported

Daftra Work Orders link to Clients, Employees, and Products and include full workflow stage history and attached files. These map to Epicor Job (for manufacturing work orders) or FSM Service Order (for field service work orders) depending on the customer's operational model in Epicor. The workflow stage history migrates as Job Operation records or Service Order status change records. Files and notes attach to the Job or Service Order via Epicor's Document Management.

daftra

Bookings/Reservations

maps to

Epicor Prophet 21

Appointment or Job Operation

1:1
Fully supported

Daftra Reservation Files with PNR-style file management, status tracking, and appointment scheduling map to Epicor Appointments (FSM module) or Job Operations (manufacturing). The activity log migrates as a series of Appointment records or Operation notes. Booking status values map to Epicor Appointment or Job status fields. Files attach to the Appointment or Job record.

daftra

Cheque Cycle

maps to

Epicor Prophet 21

Custom Fields on AP/AR + Notes

lossy
Mapping required

Daftra's Cheque Cycle tracks cheques through issue, deposit, and return stages tied to both the Chart of Accounts and specific invoice/payment records. Epicor ERP does not have a native cheque cycle object. We preserve the full cycle history (issue date, bank account, payee/receiver, amount, deposit date, return date, return reason) as a UD field group on the AP Payment record or as a linked Notes record for the customer's Epicor admin to reference. The GL impact of each cheque stage (post-dated cheque asset, bank clearing entries) is reconstructed against the GL Account mapping already loaded.

daftra

Custom Fields

maps to

Epicor Prophet 21

UD Fields

lossy
Mapping required

Daftra custom fields on Invoices, Assets, and Workflows are object-scoped and must be enumerated per object via the Daftra UI during discovery. We read field type, required flag, and options list, then pre-create equivalent UD (User Defined) fields on the corresponding Epicor business object before any data import. Custom field values are then written to these UD fields during the import phase. We flag any Daftra field types (e.g., multi-select picklists, date-only fields) that require explicit type mapping to Epicor's UD field schema.

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.

daftra logo

daftra gotchas

High

API is not publicly documented

Medium

Custom fields are object-scoped and must be enumerated per object

Medium

Chart of Accounts export does not flatten sub-account hierarchy

Low

Arabic character encoding requires normalization

Epicor Prophet 21 logo

Epicor Prophet 21 gotchas

High

Third-party bolt-on integrations complicate migration scope

High

Dirty data without standardized processes compounds migration risk

Medium

SDK customizations and BPMs may not survive platform upgrades

Medium

Report-based export only for non-technical users

Low

Per-user pricing model requires accurate user count before migration planning

Pair-specific challenges

  • Daftra has no publicly documented API

    Daftra does not publish a public API reference or developer documentation. All documented data exports are UI-based (product export, report downloads). We cannot build a programmatic extraction pipeline without first coordinating with Daftra's technical team to obtain API access. This adds two to four weeks to discovery and may require the customer to involve Daftra support directly. We flag this at proposal stage so that the customer's procurement or IT team can initiate the API access request early in the project timeline.

  • Epicor requires master data before transactional records

    Epicor ERP enforces a strict DMT load-order dependency: Chart of Accounts must be loaded before any GL journals, Customers and Suppliers before any AR/AP invoices, Parts before any Work Orders, and Employees before any labor records. Daftra's flat export and multi-module co-existence mean that master-transaction dependencies are not explicitly tracked. We build the dependency graph during discovery and enforce the loading sequence in our pipeline. Skipping this step results in Epicor rejecting transactional records that reference unresolved master entities.

  • Daftra sub-account hierarchy is not in the export

    Daftra's chart of accounts supports parent-child account relationships, but the standard UI export lists accounts as a flat table without an explicit parent_id field. Sub-account parent references must be inferred from account codes (which use dot-notation like 1000.100.01) or extracted via a separate query to Daftra. We build a recursive account tree during discovery by parsing the account code structure before we load into Epicor. Failing to reconstruct this hierarchy means Epicor's posting sequence and financial report rollups will be incorrect.

  • Epicor Kinetic enforces scheduled cloud upgrades

    Epicor's cloud product enforces periodic upgrades on Epicor's schedule rather than the customer's. Forum discussions on EpiUsers.help describe this as a forced cadence where customizations (BPMs, custom reports, dashboards) must be validated after each upgrade pass. Daftra customers moving to Epicor cloud should plan for a validation cycle after each Epicor upgrade and should avoid deep customization of BPMs that will require ongoing maintenance. This is a platform-level constraint of Epicor cloud, not specific to the Daftra migration, but it affects the post-migration ongoing cost.

  • Arabic character encoding requires normalization before Epicor

    Daftra's Arabic-first interface stores text in locale-specific encoding. We normalize all Arabic characters to UTF-8 before writing to Epicor to prevent rendering issues in the browser-based Kinetic UI. Date formats also require explicit normalization since Daftra uses Hijri and Gregorian calendars depending on locale settings, while Epicor defaults to Gregorian. We add explicit date format normalization as a pre-write transform for all date fields.

Migration approach

Six steps for a successful daftra to Epicor Prophet 21 data migration

  1. Discovery and API access coordination

    We audit the Daftra portal across all active modules (CRM, HRM, Accounting, Inventory, Operations) and enumerate the full data inventory: client count, invoice volume, employee records, work order count, chart of accounts account count, and any active custom fields on Invoices, Assets, and Workflows. Simultaneously, we initiate API access coordination with Daftra's technical team so that we have extraction endpoints before building the pipeline. We deliver a written migration scope document that includes the full object list, estimated row counts per object, and the DMT-compatible load-order sequence for Epicor.

  2. Chart of Accounts reconstruction and GL load

    We extract Daftra's Chart of Accounts as a flat table and reconstruct the hierarchical account tree by parsing account codes for dot-notation patterns (e.g., 1100.01, 1100.01.002). We build parent_id mappings for every sub-account and validate the tree against Daftra's balance totals for each account. The reconstructed GL Account hierarchy is the first data loaded into Epicor via DMT GL Account templates, in account-code order to satisfy Epicor's posting sequence requirements. Any Cost Centers are mapped to GL Account Category Codes or UD fields at this stage.

  3. Master data load: Customers, Suppliers, Employees, Parts

    We load master data in Epicor's required dependency order: Employees (or Demand Workers) first, then Customers, then Suppliers, then Parts (with PartClass and PartWhse). We resolve Daftra Client follow-up history, membership points, and insurance references as UD fields on Customer. We resolve Daftra employee compensation history as a time-series of labor rate records. Supplier links from Daftra Products migrate as VendorPart cross-reference records. Each phase emits a row-count reconciliation report.

  4. Custom field enumeration and UD field provisioning

    We enumerate Daftra custom fields on Invoices, Assets, and Workflows via the Daftra UI and read field type, required flag, and options list for each. We pre-create equivalent UD fields on the corresponding Epicor business objects (Invoice, Asset, Job) using Epicor's UD field schema. Field types are explicitly mapped (Daftra text to Epicor String, Daktra date to Epicor Date, Daftra select to Epicor Combo or List). We then write custom field values as part of the transactional import phase.

  5. Transactional records: Invoices, Expenses, Work Orders

    We load open invoices (with outstanding balance), expenses, and Work Orders in Epicor's DMT-compatible order. Open Work Orders map to Epicor Job or FSM Service Order depending on the customer's Epicor configuration. Closed invoices and historical transactions are loaded after open records, following the migrate-or-archive decision matrix: open records migrate for day-one operations; closed historical records migrate for audit traceability (up to 3 years of current-year financials; older records are flagged for archival). Cheque Cycle records are preserved as UD field groups on AP Payment records.

  6. Sandbox reconciliation and production cutover

    We run a full migration into a Salesforce Sandbox-equivalent Epicor test company using production-like data volume. The customer's Epicor administrator reconciles record counts, spot-checks 25-50 records per object against the Daftra source, and validates GL account postings for a sample of transactions. We correct any mapping errors identified during sandbox reconciliation before production migration begins. Production cutover follows Epicor's go-live freeze process: Daftra writes are frozen, a final delta migration captures any records modified during the window, and Epicor becomes the system of record.

  7. Workflow rebuild handoff and post-migration support

    We deliver a written inventory of all Daftra workflow automations, dynamic field configurations, and field-builder setups requiring rebuild in Epicor Kinetic BPM or MES scheduling. We do not rebuild Daftra workflows as Epicor BPMs inside the migration scope; that is a separate engagement. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's team during their first week of Epicor operations. Post-hypercare, we provide a written summary of all migrated records, mapping decisions, and any data remaining in Daftra for archival purposes.

Platform deep dives

Context on both ends of the pair

daftra logo

daftra

Source

Strengths

  • Integrated CRM, HRM, Accounting, Inventory, and Operations under one tenant and one invoice.
  • Workflow builder with dynamic fields and cross-module linking for process automation.
  • Multi-currency and locale support oriented toward MENA markets and Arabic-language users.
  • Tiered enterprise plans include dedicated support, account setup assistance, and third-party escalation services.
  • Product and service catalog with POS integration, installment management, and sales commission tracking.

Weaknesses

  • API is not publicly documented, limiting programmatic data export and third-party integration without vendor coordination.
  • Review presence on major platforms (G2, Capterra) is thin, making independent evaluation difficult for prospective buyers.
  • Feature depth in individual modules (especially advanced accounting and HRM) lags behind purpose-built specialized alternatives.
  • Rate limits and API quota details are not published, creating uncertainty for migration planning.
Epicor Prophet 21 logo

Epicor Prophet 21

Destination

Strengths

  • Purpose-built for wholesale distribution with industry-specific replenishment, kitting, and counter-sale workflows out of the box.
  • Multi-warehouse management with bin locations, cross-docking, and real-time inventory visibility across all warehouse locations.
  • Automated replenishment engine with demand-based and min-max planning reduces stockouts and overstock carrying costs.
  • AI-infused reporting via Epicor Prism provides Gen AI-driven insights into ERP data without requiring a BI team.
  • Strong customer retention at 90% and a 50-year track record in the distribution vertical provides long-term vendor stability.

Weaknesses

  • High total cost of ownership — per-user pricing of $150-200/month plus $10K-$500K implementation creates significant budget commitment for small and mid-market distributors.
  • Customization via SDK requires technical expertise and introduces upgrade risk when custom code conflicts with new P21 releases.
  • Report generation performance is a known pain point — multiple users report system freezes during large or complex report exports.
  • Third-party bolt-on reliance for functionality that competitors include natively increases integration complexity and total solution cost.
  • Limited public API documentation — developers building custom integrations report difficulty finding P21 API authentication methods and endpoint specifications.

Complexity grading

How hard is this migration?

Standard ERP migration. 2 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 daftra and Epicor Prophet 21.

  • Object compatibility

    B

    2 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

    daftra: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your daftra to Epicor Prophet 21 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 daftra to Epicor Prophet 21 data migrations

Answers to the questions buyers ask most during daftra to Epicor Prophet 21 migration scoping. Not seeing yours? Book a call.

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Most migrations land between five and eight weeks for accounts with under 10,000 clients, 2,000 invoices, and a flat chart of accounts. Migrations with nested sub-account hierarchies (50+ parent accounts with children), large work order volumes (over 5,000 open orders), employee payroll history requiring time-series extraction, or Cheque Cycle records needing custom field preservation move to ten to sixteen weeks. The primary schedule risk on the Daftra side is API access coordination — without programmatic extraction endpoints, we must rely on vendor-assisted data export, which adds two to four weeks.

Adjacent paths

Related migrations to explore

Ready when you are

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