Adaptors / Merret

Merret adaptor

Source extraction patterns for Merret retail ERP migrations.

The Merret source adaptor provides extraction patterns for legacy Merret retail ERP systems. It covers merchandise, inventory, pricing, supplier, and transaction data with transformation templates for Oracle Retail, D365, and other target platforms. Deterministic validators ensure data completeness and integrity before migration.

What it accelerates

  • Prototype speed: pre-built extraction patterns for core Merret modules reduce time-to-first-prototype significantly
  • Data completeness: extraction templates cover all major Merret data domains including merchandise, inventory, and transactions
  • Transformation ready: mapping templates handle Merret-to-target transformations for Oracle Retail, D365, and other systems
  • Audit-ready evidence: reconciliation packs with counts, totals, and balancing produced automatically
  • Knowledge retention: delivery logic sits in the adaptor, not in individuals, reducing key-person dependency

How it works with elfware

The controlled non-determinism model applied to Merret:

  1. 1Human decisions: consultants define scope, modules, business rules, and exception handling for the Merret estate
  2. 2AI-assisted optioning: surfaces extraction choices and highlights gaps in data coverage
  3. 3Governed specs: locked decisions become the input to deterministic generation
  4. 4Deterministic generation: code-printing produces extraction scripts, transformation logic, and orchestration from the governed spec
  5. 5Deterministic validators: every row, every field checked against governed rules before migration
  6. 6Rehearsal and cutover: proven rehearsal chain executed identically each run until go-live

AI boundary: AI never processes customer data; it supports mapping and delivery configuration only. When AI assists with code generation, the output is reviewed, QA'd, and verified in test runs before deployment to any system.

Source vs target usage

As a source (Merret ERP)

Extraction from Merret retail ERP systems for migration to modern platforms. Covers full and delta extraction patterns across all major data domains.

  • Merchandise data: items, hierarchies, attributes, suppliers, cost components
  • Pricing data: price lists, promotions, markdowns, price zones
  • Inventory data: stock on hand, locations, transfers, receipts
  • Supplier data: suppliers, addresses, contacts, payment terms
  • Transaction data: sales, returns, receipts, adjustments
  • History extraction: progressive history builds with effective dating

Typical artefacts delivered

Extraction patterns

Pre-built queries and extraction logic covering Merret data domains with filtering, transformation, and exception handling.

Mapping templates

Source-to-target mapping documents covering Merret entities with transformation rules for Oracle Retail, D365, and other targets.

Orchestration / run groups

Sequenced run plans ensuring dependencies between data domains are respected.

Deterministic validators

Automated checks for data completeness, referential integrity, and business rule compliance.

Reconciliation / evidence pack

Counts, totals, deltas, and balancing reports for audit-ready sign-off.

Interfaces and data domains

DomainTypical entitiesCadenceNotes
ProductsItems, hierarchies, attributes, item/supplier relationshipsFull + deltaHierarchy completeness required
LocationsStores, warehouses, location attributesFullLocation hierarchy dependency
SuppliersSuppliers, addresses, contacts, payment termsFull + deltaActive suppliers with valid terms
PricingPrice lists, promotions, markdownsFull + deltaEffective dating critical
InventoryStock on hand, transfers, receiptsSnapshot + deltaCutover timing dependent
TransactionsSales, returns, receipts, adjustmentsHistory + deltaProgressive history builds

Common risks and how we mitigate them

Schema differences between Merret versions

Version-aware extraction patterns adapt to schema differences automatically.

Data quality issues in legacy system

Pre-extraction validators identify and report data quality issues before migration begins.

Complex merchandise hierarchies

Hierarchy extraction patterns handle multi-level structures with validation of parent-child relationships.

Historical data volume

Progressive history build patterns load data in manageable tranches with checkpoint/restart capability.

Cutover timing coordination

Rehearsal playbook provides accurate timing data for confident go/no-go decisions.

Frequently asked questions

What Merret versions do you support?
The adaptor covers Merret Pro and legacy Merret versions. Extraction patterns are version-aware and adapt to schema differences between releases.
How long to first prototype?
Typically 2 to 3 weeks from kick-off to a working prototype that demonstrates extraction, transformation, and load for a representative data domain.
Can you extract historical data?
Yes. The adaptor supports progressive history builds for transaction data, with effective dating and reconciliation of historical records.
What target systems do you support?
Merret data can be migrated to Oracle Retail, D365 Business Central, D365 Finance & Operations, or other ERP platforms. Transformation templates handle the mapping.
How do you handle Merret-specific data structures?
The adaptor understands Merret's data model including its merchandise hierarchies, pricing structures, and inventory management patterns. Transformation logic maps these to target system equivalents.

Ready to de-risk your migration?

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