ERP migration
Field-level mapping, validation, and rollback between LOGIC ERP and Acumatica. We move data and schema; workflows are rebuilt natively in Acumatica.
LOGIC ERP
Source
Acumatica
Destination
Compatibility
10 of 10
objects map 1:1 between LOGIC ERP and Acumatica.
Complexity
BStandard
Timeline
2–4 weeks
Overview
LOGIC ERP stores customers, vendors, items, sales orders, purchase orders, warehouse locations, and POS transaction receipts in a retail-focused schema. Acumatica organizes data across companies, branches, and inventory sites using a REST API that exposes entities in PascalCase—Customer, Vendor, InventoryItem, SalesOrder, PurchaseOrder—with custom fields handled through DAC attribute extensions rather than standard columns. We export the full LOGIC ERP dataset (customers, vendors, items, orders, inventory, POS receipts) through REST API calls or structured database exports, apply transformation logic for status codes, date formats, and UOM conversions, then load records into Acumatica via the entity endpoints using OAuth 2.0 bearer-token authentication. The migration preserves original create and modify timestamps, owner assignments, and financial amounts. Workflow automations, approval sequences, and custom reports do not migrate—they have no equivalent in Acumatica and must be rebuilt using Acumatica's automation engine and report designer. A sample migration validates field-level mappings before the full run commits, and a delta-pickup window captures any records modified in LOGIC ERP during the cutover window.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a LOGIC ERP object lands in Acumatica, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
LOGIC ERP
Customer
Acumatica
Customer (AR303000)
1:1LOGIC ERP customers map 1:1 to Acumatica Customer records. Acumatica requires a CustomerClassId assignment—so we apply a default class and flag it for your admin to refine. Customer-level addresses and contacts attach via the Contact object linked by CustomerID. Custom address fields can be stored as extended attributes if required.
LOGIC ERP
Vendor
Acumatica
Vendor (AP303000)
1:1LOGIC ERP vendors map to Acumatica Vendor records. The VendorClassId is assigned a default value; your team configures the class taxonomy post-migration. Primary contact information transfers to the Vendor-Contact relationship table. Custom vendor attributes such as tax IDs or payment methods are preserved as extended attributes if they exist.
LOGIC ERP
Item / Product
Acumatica
InventoryItem (IN202000) / Non-Stock Item
1:1LOGIC ERP item type determines the Acumatica item class: Stock items become Stock Items, Non-Stock items become Non-Stock Items, and Service items use the Service item class. Item status (Active/Inactive) maps to Acumatica's ItemStatus field. We preserve all item attributes as DAC custom attributes.
LOGIC ERP
Sales Order
Acumatica
SalesOrder (SO301000)
1:1LOGIC ERP sales orders map to Acumatica Sales Orders with OrderType, customer reference, line items, amounts, dates, and status. Acumatica's order types (SO, Invoice, Credit Memo) must be configured before migration; we assign a default type and provide a mapping plan.
LOGIC ERP
Purchase Order
Acumatica
PurchaseOrder (PO303000)
1:1Purchase orders transfer as Acumatica Purchase Orders with vendor reference, line items, amounts, expected dates, and status. Status values transform per LOGIC ERP-to-Acumatica status mapping rules documented in the field-level plan. The mapping also preserves the purchase order number, ensures the correct vendor account is linked, and retains any internal notes or attachments. Custom fields on the PO are transferred as DAC attributes after they are defined in Acumatica.
LOGIC ERP
GL Account / Chart of Accounts
Acumatica
Account (GL202000)
1:1LOGIC ERP chart of accounts transfers to Acumatica GL accounts. The account code, name, type, and sub-account dimension structure map directly. Active/inactive status preserves on the Account record. Sub-account segments require Acumatica sub-account dimension configuration before load. If your LOGIC ERP uses detailed cost center codes, they can be mapped to Acumatica sub-account segments using a custom dimension. Any inactive accounts are flagged and can be activated post-migration after review.
LOGIC ERP
Warehouse / Bin Location
Acumatica
WarehouseLocation / Site
1:1LOGIC ERP warehouse codes and bin locations map to Acumatica Site (warehouse) and LocationID (bin) records. Each LOGIC ERP location becomes an Acumatica LocationID under its parent Site. Inventory balances transfer as opening quantities linked to the correct Site and LocationID.
LOGIC ERP
POS Transaction Receipt
Acumatica
Sales Order or AR Invoice
1:1LOGIC ERP POS receipts require custom transformation because Acumatica has no native POS entity. Each receipt header becomes an Acumatica Sales Order or AR Invoice; receipt line items become order/invoice lines; customer reference, item reference, and payment method transfer as notes or custom fields. This step requires bespoke mapping logic and is flagged for advance validation.
LOGIC ERP
Payment Terms
Acumatica
PaymentTerm (AR202020)
1:1LOGIC ERP payment term codes (Net 30, Net 60, etc.) map to Acumatica PaymentTerm records by code match. If LOGIC ERP uses custom term descriptions, we create the corresponding PaymentTerm in Acumatica before mapping the field. The mapping also includes the due days, discount percentages, and installment schedules where applicable. Any variations in term naming are normalized to match Acumatica's standard PaymentTerm format.
LOGIC ERP
Custom Fields
Acumatica
DAC Attribute Extension
1:1LOGIC ERP custom fields that do not map to a standard Acumatica field require pre-creation as DAC attribute extensions in the Acumatica customization project. FlitStack delivers an attribute creation plan listing each custom field, its data type, and the target DAC entity, so your Acumatica admin publishes the customization before the data migration runs.
| LOGIC ERP | Acumatica | Compatibility | |
|---|---|---|---|
| Customer | Customer (AR303000)1:1 | Fully supported | |
| Vendor | Vendor (AP303000)1:1 | Fully supported | |
| Item / Product | InventoryItem (IN202000) / Non-Stock Item1:1 | Fully supported | |
| Sales Order | SalesOrder (SO301000)1:1 | Fully supported | |
| Purchase Order | PurchaseOrder (PO303000)1:1 | Fully supported | |
| GL Account / Chart of Accounts | Account (GL202000)1:1 | Fully supported | |
| Warehouse / Bin Location | WarehouseLocation / Site1:1 | Fully supported | |
| POS Transaction Receipt | Sales Order or AR Invoice1:1 | Fully supported | |
| Payment Terms | PaymentTerm (AR202020)1:1 | Fully supported | |
| Custom Fields | DAC Attribute Extension1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
LOGIC ERP gotchas
No public API for bulk or programmatic data access
Large file downloads are slow and can timeout
Opening stock balances must be exact to avoid balance sheet shifts
TDS and India-specific tax configurations do not map universally
Implementation typically takes 8–16 weeks for core go-live
Acumatica gotchas
API user licenses cap concurrent sessions and request throughput
Multi-tenant filtering requires CompanyID awareness
Custom fields require separate discovery before field mapping
Notes and attachments use a separate linked table structure
Implementation timelines frequently run 3–9 months end-to-end
Pair-specific challenges
Migration approach
Audit LOGIC ERP data model and export strategy
FlitStack AI performs a full audit of your LOGIC ERP database schema, identifying actual table names, field names, data types, and foreign-key relationships. We determine whether the export runs through the REST API, CSV export templates, or direct database read access. We document every custom field, extended property, and POS-specific table, and flag data quality issues (duplicate records, missing foreign keys, invalid UOM codes) that need resolution before mapping begins.
Configure Acumatica entities, companies, and custom DAC attributes
Before any data loads, FlitStack AI delivers an Acumatica setup plan covering company and branch structure, account hierarchy, item classes, customer and vendor classes, order types, and UOM definitions. Your Acumatica admin creates the entities, publishes the DAC attribute customization project for custom fields, and configures the sub-account dimension structure. We confirm the schema is ready before issuing a single data load request.
Build field-level mapping with transformation rules and POS conversion logic
FlitStack AI produces a detailed mapping document covering every entity: customer, vendor, item, sales order, purchase order, GL account, warehouse location, and POS receipt. Transformation rules handle status code conversions, date formatting, UOM cross-references, and Acumatica-specific field assignments. POS transaction receipts receive a separate conversion specification that splits receipt headers into order headers and receipt lines into order lines, with a custom mapping for tender type stored as a custom order field.
Run sample migration with field-level diff
A representative sample of records—typically 200 to 500 across customers, items, orders, and POS receipts—migrates first. FlitStack AI generates a field-level diff comparing source and destination values for each record, verifying that status mappings applied correctly, custom field values landed in the right DAC attributes, timestamps preserved, and POS receipts converted to the expected order structure. You review the diff and approve or adjust the mapping rules before the full run proceeds.
Execute full migration with delta-pickup and post-load validation
The full dataset loads into Acumatica using the approved mappings. A delta-pickup window captures records created or modified in LOGIC ERP during the migration window. After load, FlitStack AI runs post-load validation: record counts per entity, financial totals (AR/AP/inventory value), customer and vendor address completeness, and file attachment linkage by NoteID. A reconciliation report is delivered for your finance team to sign off before you close the LOGIC ERP read-access window.
Platform deep dives
LOGIC ERP
Source
Strengths
Weaknesses
Acumatica
Destination
Strengths
Weaknesses
Complexity grading
Standard ERP migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across LOGIC ERP and Acumatica.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
LOGIC ERP: Not publicly documented.
Data volume sensitivity
LOGIC ERP doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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