ERP migration

Migrate from metasfresh to Infor CloudSuite Corporate

Field-level mapping, validation, and rollback between metasfresh and Infor CloudSuite Corporate. We move data and schema; workflows are rebuilt natively in Infor CloudSuite Corporate.

metasfresh logo

metasfresh

Source

Infor CloudSuite Corporate

Destination

Infor CloudSuite Corporate logo

Compatibility

83%

10 of 12

objects map 1:1 between metasfresh and Infor CloudSuite Corporate.

Complexity

BStandard

Timeline

6-10 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from metasfresh to Infor Cloudsuite is a cross-architecture migration: metasfresh stores its entire business model in PostgreSQL with no public REST API, while Infor Cloudsuite runs as a multi-tenant cloud ERP on AWS with a dedicated migration database that stages external data before production copy. We connect directly to the metasfresh PostgreSQL instance using read-only credentials, construct normalized exports from the underlying tables (C_BPartner, M_Product, C_Order, C_Invoice, pp_product_bom), and load them into Infor's migration database in strict dependency order: master data (partners, products, price lists, tax categories) before transactional data (orders, invoices, BOM records). Infor CloudSuite's multi-tenant cloud architecture does not permit direct database access, so all post-migration customizations use Infor's approved extension framework rather than core code modifications. Workflows, alerts, and integrations do not migrate; we deliver a written inventory of metasfresh configurations requiring rebuild in Infor OS or ION.

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

metasfresh logo

metasfresh

What's pushing teams away

  • Steep learning curve when configuring the system for industries outside its default food and beverage workflows, requiring significant consultant time.
  • Installation and build times can be slow, with users reporting the application sometimes hanging during Docker image builds.
  • Not a turnkey solution — companies without technical staff or ERP experience may struggle to configure and maintain metasfresh without external help.
  • Self-hosting responsibility means no vendor-managed updates, backups, or SLA, which some companies prefer to outsource to a SaaS provider.

Choosing

Infor CloudSuite Corporate logo

Infor CloudSuite Corporate

What's pulling them in

  • Infor CloudSuite is industry-specific out of the box — manufacturing, distribution, healthcare, and food & beverage editions ship with preconfigured workflows that reduce the need for extensive customization and accelerate time to value for operations-heavy organizations.
  • The platform's deep integration with Excel for financial reporting is frequently cited as a key productivity feature, allowing finance teams to pull data directly and make changes without leaving familiar tooling.
  • AWS-hosted multi-tenant deployment eliminates data center management for IT teams, and Infor OS provides a unified integration layer (ION) that connects the CloudSuite to third-party applications without point-to-point middleware.
  • Organizations with multi-site or multi-country operations choose Infor for its multicurrency, multilanguage, and local regulatory compliance capabilities across 175+ countries, which simplifies consolidation for global CFOs.
  • The two-tier ERP strategy positioning lets corporate headquarters run CloudSuite while subsidiaries run lighter instances, which appeals to complex organizational structures that want standardization without full replacement.

Object mapping

How metasfresh objects map to Infor CloudSuite Corporate

Each row shows how a metasfresh object lands in Infor CloudSuite Corporate, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

metasfresh

Business Partners (C_BPartner)

maps to

Infor CloudSuite Corporate

Customer and Vendor

1:1
Fully supported

metasfresh Business Partners map to Infor CloudSuite Customer and Vendor records. The C_BPartner table stores address, contact, and financial relationship data including the IsCustomer and IsVendor flags that determine whether to create one or two records in Infor. We preserve the bp_value as an external reference code and map the C_BP_Group to an Infor Business Partner Type. Organization assignment in metasfresh maps to Infor's multi-company or multi-site org structure if the destination is multi-site.

metasfresh

Product (M_Product)

maps to

Infor CloudSuite Corporate

Item (M_Product in Infor)

1:1
Fully supported

metasfresh Products map to Infor CloudSuite Items. The M_Product table includes product type (Item vs Service vs Resource), the product category (M_Product_Category), and unit of measure. We preserve the product's value as Item Code and map the product category to Infor's item group. Product cost information from M_Product_Costing records maps to Infor's cost element structure. Discontinued products flagged with IsActive=false in metasfresh map to Infor's inactive item status.

metasfresh

Sales Order (C_Order with DocStatus SO)

maps to

Infor CloudSuite Corporate

Sales Order

1:1
Fully supported

metasfresh Sales Orders (C_Order with IsSOTrx=Y and DocStatus in Draft, In Progress, or Completed) map to Infor CloudSuite Sales Orders. We reconstruct the full document tree including C_OrderLine records for each line item, preserving the M_Product reference, quantity, prices, and discount amounts. The C_DocType determines document type mapping in Infor. Open orders migrate with full line detail; completed and closed orders migrate as historical records.

metasfresh

Purchase Order (C_Order with DocStatus PO)

maps to

Infor CloudSuite Corporate

Purchase Order

1:1
Fully supported

metasfresh Purchase Orders (IsSOTrx=N) map to Infor CloudSuite Purchase Orders. Line items from C_OrderLine preserve the vendor part number, quantity, unit price, and date-promised fields. PO headers carry the C_BPartner reference (mapped to the Vendor record), the PO date, and document status. We do not migrate draft purchase orders unless the customer explicitly scopes them; completed and closed POs migrate as historical records.

metasfresh

Invoice (C_Invoice)

maps to

Infor CloudSuite Corporate

AR Invoice or AP Invoice

1:1
Fully supported

metasfresh AR invoices (IsSOTrx=Y) map to Infor CloudSuite AR invoices; AP invoices (IsSOTrx=N) map to Infor AP invoices. We separate invoice headers from invoice lines (C_InvoiceLine) and preserve the reference to the originating C_Order if one exists, mapping it to the Infor purchase or sales order reference. Payment terms (C_PaymentTerm) map to Infor's payment term code. Document status (Draft, In Progress, Completed, Closed, Voided) migrates as-is.

metasfresh

Pricing System (M_PricingSystem)

maps to

Infor CloudSuite Corporate

Price List and Price List Version

lossy
Fully supported

metasfresh pricing is organized into M_PricingSystem containing multiple M_PriceList versions with effective date ranges. We export the full pricing hierarchy and create corresponding Infor Price Lists and versioned price entries. Each M_PriceListLine maps to an Infor price rule tied to an Item and Business Partner Type. Effective dates from metasfresh pricing rules become validity periods in Infor's price maintenance UI. Price list assignment to Business Partners migrates as customer-specific price list overrides.

metasfresh

BOM (pp_product_bom, pp_product_bomline)

maps to

Infor CloudSuite Corporate

Bill of Materials

1:1
Fully supported

metasfresh BOM data stored in pp_product_bom and pp_order_bomrecord tables maps to Infor CloudSuite Industrial's bill of materials structure. The finished product reference from pp_product_bom becomes the BOM header in Infor, and each component line from pp_product_bomline (component product, quantity per, scrap percentage, issue method) becomes a BOM line. We inspect the PP_Product_BOM table during discovery and include BOM lines only when the PP tables are populated and the MRP module is enabled in the source metasfresh instance.

metasfresh

Project (C_Project)

maps to

Infor CloudSuite Corporate

Project

1:1
Fully supported

metasfresh Projects (C_Project) have a header plus project lines tracking time, costs, and deliverables. We map the project header including project status, responsible user, and contract dates, and we migrate project lines (C_ProjectLine) with their associated phase and milestone structure. The C_BPartner reference on the project header maps to the Infor Customer or Vendor. Projects without a defined status default to Infor's Active status.

metasfresh

Bank Account (C_BP_BankAccount)

maps to

Infor CloudSuite Corporate

Bank Account

1:1
Fully supported

Bank accounts stored per organization in metasfresh and linked to Business Partners map directly to Infor Bank Account records. We preserve the IBAN or account number, SWIFT/BIC code, bank name, and the C_BPartner association. Payment methods (C_PaymentTerm) map to Infor's payment term codes and are loaded as reference data before invoice migration.

metasfresh

Tax Category and Tax Rate (C_TaxCategory, C_Tax)

maps to

Infor CloudSuite Corporate

Tax Code and Tax Rate

1:1
Fully supported

metasfresh tax categories (C_TaxCategory) and tax rates (C_Tax) map to Infor CloudSuite Tax Codes with their corresponding rate percentages and effective date ranges. Geographic zone-based tax rates from metasfresh map to Infor's tax jurisdiction hierarchy. We preserve the tax category name as a reference and ensure that all taxes referenced on invoice lines have a corresponding tax code in Infor before invoice migration begins.

metasfresh

Custom Fields (AD_Column extensions)

maps to

Infor CloudSuite Corporate

Custom Fields

lossy
Mapping required

metasfresh custom fields added via the Table and Column system are stored as rows in AD_Column with a custom flag. These are not surfaced in the standard export format. We query AD_Column during the discovery phase to identify all custom fields per table and include them as additional columns in the export. In Infor CloudSuite, we create corresponding user-defined fields using Infor's extension framework and map the values during migration. Custom field type mapping (string to text, integer to number, date to date) is handled during the schema design phase.

metasfresh

Complaint and Service Record

maps to

Infor CloudSuite Corporate

Service Management Case

1:1
Fully supported

metasfresh customer complaints and repair workflows create service project records linked to returned products. We map the complaint header and related repair project, preserving the link back to the original Sales Order and returned product. Infor CloudSuite Industrial includes a Service Management module for warranty, service contracts, and repair tracking; we map complaint data to Infor Service cases with a reference back to the related item and sales order.

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.

metasfresh logo

metasfresh gotchas

High

No well-documented public REST API for data migration

High

Attachment and archived document extraction is unreliable

Medium

BOM and manufacturing data requires deep schema knowledge

Medium

Custom fields discovered at runtime, not import time

Infor CloudSuite Corporate logo

Infor CloudSuite Corporate gotchas

High

Infor OS tier-based usage limits gate API and BaaS capabilities

Medium

Custom Fields use inconsistent naming across Infor editions

Medium

SQL migration utility requires source database access

Medium

Multi-site and multi-currency data require separate period closure sequencing

Low

REST API payload and timeout limits restrict bulk migration throughput

Pair-specific challenges

  • metasfresh has no public REST API for extraction

    metasfresh does not publish a consumer-facing REST API with clear endpoint documentation for programmatic data extraction. Migrations must use its import/export format system, direct PostgreSQL queries, or custom ETL jobs against the database. We handle this by connecting directly to the metasfresh PostgreSQL instance using read-only credentials and constructing normalized exports from the underlying tables (C_BPartner, M_Product, C_Order, C_Invoice, pp_product_bom). This adds discovery overhead because the table structure must be reverse-engineered per installation, and any custom columns added via AD_Column must be identified separately before export design begins.

  • Infor CloudSuite requires a dedicated migration database before production

    Infor CloudSuite Industrial's migration utility requires staging external data in a separate migration database before copying validated tables into the production database. This is not a direct import into the live system. We provision the migration database alongside the Infor CloudSuite target environment, configure import parameters to connect to our exported metasfresh staging files, and run Infor's Data Assessment Report to validate record counts and constraint compliance before final copy. This two-database architecture adds a staging step that is unique to Infor's migration tooling and must be accounted for in the project timeline.

  • BOM schema differences between metasfresh and Infor Industrial require component-level mapping

    metasfresh stores bill of materials across pp_product_bom, pp_product_bomline, and pp_order_bomrecord tables with dependencies on the MRP module that may not be active in all installations. Infor CloudSuite Industrial stores BOMs with a different structure that includes revision control, routing references, and work center assignments. We inspect the PP_Product_BOM table structure during discovery, validate that the MRP module is enabled, and map component quantities and issue methods individually. BOMs with phantom assemblies or co-products require additional mapping logic that adds scope to the manufacturing data migration phase.

  • Attachment and archived document extraction is unreliable from metasfresh

    Archived invoice PDFs and file attachments in metasfresh are stored as byte arrays in the database or as file system references whose paths are not consistently tracked in metadata tables. There is no supported export path for these objects. We flag this explicitly during scoping and exclude attachments from the migration deliverable unless the customer confirms they have direct database access to retrieve them manually post-migration. Infor Document Management (IDM) is available in CloudSuite but cannot receive data that cannot be extracted from the source.

  • Custom fields discovered at runtime, not import time, in metasfresh

    Custom fields added via the Table and Column system in metasfresh are stored as rows in AD_Column with a custom flag. They are not surfaced in the standard export format. We query AD_Column during the discovery phase to identify all custom fields per table and include them as additional columns in the export, ensuring custom data is not silently dropped. Any custom field not identified during discovery will be absent from the migration scope and must be added as a post-migration change request.

Migration approach

Six steps for a successful metasfresh to Infor CloudSuite Corporate data migration

  1. Discovery and source environment audit

    We connect to the metasfresh PostgreSQL database using read-only credentials and audit the full table inventory. We record the distinct C_BPartner count, M_Product count, C_Order record count by document status, C_Invoice record count by type, and inspect the pp_product_bom and pp_order_bomrecord tables for BOM population. We query AD_Column for all tables with the custom flag set to build a complete custom field inventory. We also assess the metasfresh Docker environment version and PostgreSQL schema version to determine compatibility with our export tooling. The discovery output is a written migration scope with record counts per object and a custom field manifest.

  2. Destination schema design and migration database provisioning

    We work with the customer's Infor implementation team to provision the Infor CloudSuite migration database alongside the target production database. We design the Infor schema to receive metasfresh data: Customer and Vendor records, Item structures, Price Lists with versioned entries, BOM headers and lines, and document types matching the source document status values. We create custom fields in Infor using Infor's approved extension framework to match the metasfresh AD_Column custom field inventory. The schema design is validated in Infor's migration database before any production schema touches are proposed.

  3. PostgreSQL extraction and metasfresh staging

    We execute read-only PostgreSQL queries against the metasfresh source database to extract each object in dependency order. Master data (Business Partners, Products, Price Lists, Tax Codes, Bank Accounts, Payment Terms) is extracted first. Transactional data (Orders, Invoices, Projects, BOM records) follows. Custom fields are extracted as additional columns using the AD_Column inventory from discovery. Each extract is written to a staging directory with a manifest of record counts, extract timestamp, and source query hash for audit reproducibility. Any records with constraint violations (orphaned foreign keys, invalid date formats) are flagged in a pre-load data quality report.

  4. Infor migration database load and data assessment

    We use Infor CloudSuite Industrial's migration utility to load the staged metasfresh export files into the migration database. We run the Data Assessment Report for each import sequence to identify constraint violations, missing required fields, and data type mismatches before committing records. We address validation errors in the staging files (correcting date formats, filling missing required fields with placeholders for admin review) and re-run the assessment until clean. The assessment log is shared with the customer's Infor administrator for review before proceeding to final copy.

  5. Master data production migration

    We copy validated master data from the migration database to the Infor CloudSuite production database in strict dependency order: Business Partners (Customers and Vendors), Items with product categories, Price Lists with versioned entries, Tax Codes with effective date ranges, Payment Terms, and Bank Accounts. Each master data phase emits a reconciliation report showing source record count, migrated count, and error count. The customer's Infor administrator reviews and signs off each phase before the next begins. BOM headers and lines load after Items to satisfy the product reference constraint.

  6. Transactional data production migration and cutover

    We migrate transactional data after master data is validated in production: Sales Orders, Purchase Orders, AR and AP Invoices, and Projects. Open transactions (orders and invoices with Completed or In-Progress status) migrate with full line detail; closed and voided documents migrate as historical records. We freeze writes in metasfresh during the final delta migration window and capture any records modified during the migration run. After final copy, we deliver a written inventory of metasfresh configurations (workflow rules, alert conditions, custom report definitions) that require rebuild in Infor OS or as Infor ION integrations. We do not rebuild automations, reports, or integrations inside the migration scope.

Platform deep dives

Context on both ends of the pair

metasfresh logo

metasfresh

Source

Strengths

  • Completely free and open-source under GPLv2/GPLv3 with no per-user or per-company license fees.
  • Docker and Kubernetes deployment flexibility gives full infrastructure control and data sovereignty.
  • DATEV accounting export built in serves the DACH region's tax advisor workflow natively.
  • 60,000+ commits and active development since 2004 indicate long-term project stability.
  • Source code access enables deep customization that commercial ERPs charge premium tiers for.

Weaknesses

  • No vendor-managed cloud hosting option with SLA — self-hosting and maintenance are entirely the customer's responsibility.
  • Public REST API is not well-documented; migrations rely on flat-file exports, SQL access, or metasfresh's internal migration tooling.
  • Installation and build processes can be slow and unreliable, especially in Docker environments without pre-configured resources.
  • Default workflows favor food and beverage industry, requiring significant reconfiguration for other verticals.
Infor CloudSuite Corporate logo

Infor CloudSuite Corporate

Destination

Strengths

  • Industry-specific preconfiguration across manufacturing, distribution, healthcare, and food & beverage reduces post-implementation customization effort.
  • Deep Excel integration for financial reporting allows finance teams to export, manipulate, and push data back without leaving a familiar environment.
  • Multi-tenant AWS deployment with Infor OS provides a unified integration layer that simplifies connecting to third-party applications and legacy systems.
  • Strong multicurrency, multilanguage, and regulatory localization capabilities support organizations operating across 175+ countries from a single platform.
  • Modular architecture allows organizations to deploy core financials, supply chain, or manufacturing modules independently and expand over time.

Weaknesses

  • Opaque pricing model with no public per-user rates and deployments commonly ranging from $500K to $5M creates significant budget uncertainty for prospective buyers.
  • Implementation complexity and timeline (commonly 2+ years for large deployments) leads to extended periods of reduced productivity and elevated project risk.
  • Steep learning curve with hidden options and a lack of public setup guidance makes self-service onboarding difficult compared to competitors with richer documentation communities.
  • Manufacturing module functionality is perceived by some users as outdated relative to modern ERP platforms, with reported bug issues that require workarounds.
  • Tight coupling between modules and environment-specific configurations makes migration to non-Infor systems labor-intensive, increasing switching costs.

Complexity grading

How hard is this migration?

Standard ERP 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 metasfresh and Infor CloudSuite Corporate.

  • 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

    metasfresh: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your metasfresh to Infor CloudSuite Corporate 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 metasfresh to Infor CloudSuite Corporate data migrations

Answers to the questions buyers ask most during metasfresh to Infor CloudSuite Corporate migration scoping. Not seeing yours? Book a call.

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Most metasfresh migrations land between six and ten weeks for accounts with under 10,000 Business Partners, 5,000 Products, and 50,000 Orders with no active MRP module. Migrations with populated BOM tables, multi-site organizations, large invoice histories (over 100,000 records), or co-deployment of Infor CloudSuite Financials and Industrial move to twelve to twenty weeks because of BOM schema mapping, multi-site org setup, and financial document sequencing. The Infor CloudSuite implementation itself (configuration, testing, training) runs parallel to and beyond the data migration phase and typically adds an additional three to twelve months depending on scope.

Adjacent paths

Related migrations to explore

Ready when you are

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