Adaptors / Oracle Retail

Oracle Retail adaptor

Reusable delivery templates, orchestration patterns, and deterministic validators.

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The Oracle Retail adaptor covers RMS, ReSA, SIM, RPM, and associated batch and integration interfaces. It includes extraction patterns for legacy estates, mapping templates for new implementations, and deterministic validators that produce audit-ready evidence at every rehearsal.

What it accelerates

Prototype speed: pre-built extraction and mapping templates for core Oracle Retail modules reduce time-to-first-prototype significantly
Repeatable rehearsals: orchestration patterns and run sequencing produce identical results on every run
Audit-ready evidence: reconciliation packs with counts, totals, deltas, and balancing produced automatically
Reduced manual scripting: deterministic code-printing replaces hand-coded SQL and PL/SQL migration scripts
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 Oracle Retail:

1Human decisions: consultants define scope, modules, business rules, and exception handling for the Oracle Retail estate
2AI-assisted optioning: surfaces mapping choices and highlights gaps in data coverage across RMS, ReSA, SIM, and RPM
3Governed specs: locked decisions become the input to deterministic generation. No ambiguity, no drift
4Deterministic generation: code-printing produces extraction scripts, transformation logic, load files, and orchestration from the governed spec
5Deterministic validators: every row, every field, every cross-reference checked against governed rules before cutover
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 (RMS / legacy estates)

Extraction from existing Oracle Retail estates for migration to new platforms. Covers full and delta extraction patterns.

RMS foundation data: items, locations, suppliers, cost components, pricing
ReSA transaction data: sales, returns, voids, tender records
SIM inventory: stock on hand, transfers, allocations, receipts
RPM pricing: price zones, price changes, promotions, clearance
Batch interfaces: RMS, ReSA, SIM, RPM, and ReIM: extraction templates for standard Oracle Retail batch outputs
History extraction: progressive history builds with effective dating and reconciliation

As a target (new implementation / upgrade)

Loading data into Oracle Retail for new implementations, upgrades, or re-platforming projects.

Foundation data loading: items, locations, suppliers via standard Oracle Retail load interfaces
Transaction seeding: initial balances, open orders, in-transit inventory
Batch interface loading: RMS, ReSA, SIM, RPM, and ReIM: templates for standard Oracle Retail batch inputs
Configuration data: system options, codes, class/subclass hierarchies
Reconciliation: post-load validators confirm data integrity across all loaded domains

Typical artefacts delivered

Mapping templates

Pre-built source-to-target mapping documents covering Oracle Retail entities with transformation rules, defaults, and exception handling.

Orchestration / run groups

Sequenced run plans ensuring dependencies between Oracle Retail modules are respected (e.g., items before pricing, locations before stock).

Deterministic validators

Automated checks for referential integrity, data completeness, cross-module consistency, and business rule compliance.

Reconciliation / evidence pack

Counts, totals, deltas, and balancing reports that provide audit-ready sign-off evidence for each rehearsal and cutover.

Cutover rehearsal playbook

Step-by-step runbook for rehearsal execution including timing, checkpoints, rollback criteria, and go/no-go gates.

Interfaces and data domains

Domain	Typical entities	Cadence	Notes
Products	Items, diffs, packs, UDAs, item/supplier, item/location	Full + delta	Hierarchy completeness required plus history window
Locations	Stores, warehouses, org hierarchy, location traits	Full	Org hierarchy dependency
Suppliers	Suppliers, addresses, contacts, payment terms	Full + delta	Approved suppliers; terms and address required
Pricing	Price zones, price changes, promotions, clearance	Full + delta	Effective dating critical plus history window
Inventory / balances	SOH, in-transit, allocations, transfers, receipts	Snapshot + delta	Cutover timing dependent
Sales / transactions	Sales, returns, voids, tenders, tax	History + delta	Progressive history builds
Orders	Purchase orders, transfers, allocations	Open orders at cutover	Open and approved orders plus history window
Reference data	Codes, hierarchies, UDAs, diff types, diff groups	Full	Foundation dependency

Common risks and how we mitigate them

Effective dating complexity

Adaptor handles effective-dated records natively, with validators that check date overlaps, gaps, and sequencing across pricing and cost domains.

Key stability across rehearsals

Deterministic key generation ensures consistent mapping between source and target IDs across multiple rehearsal runs.

Delta vs snapshot reconciliation

Built-in reconciliation patterns handle both full snapshots and incremental deltas, with automatic detection of missing or duplicate records.

History loading performance

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

Cross-module referential integrity

Orchestration enforces module loading order (e.g., items before pricing) and validators check cross-references post-load.

Batch interface format changes between versions

Adaptor templates are version-aware, with transformation logic that adapts to Oracle Retail version differences.

Cutover window overrun

Rehearsal playbook provides accurate timing data from previous runs, enabling confident go/no-go decisions.

Frequently asked questions

What do you need to start?

Access to the Oracle Retail data model (or data dictionary), a scope definition of which modules are in play, and clarity on the target platform. We can work from documentation if direct access is not yet available.

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.

How do validators reduce risk?

Deterministic validators check every record, every field, and every cross-reference against governed rules. They run automatically on every rehearsal, producing objective evidence of pass/fail before cutover.

Do you support history builds?

Yes. Progressive history builds are a core pattern in the Oracle Retail adaptor. We handle effective dating, incremental loads, and reconciliation of historical transaction data.

How do adaptors evolve over time?

Each engagement hardens the adaptor. New transformation patterns, additional validators, and extended domain coverage are folded back into the reusable library for future programmes.

Which Oracle Retail versions do you support?

The adaptor covers Oracle Retail 13.x, 14.x, 15.x, and 16.x estates. Legacy Retek versions are supported via the extraction layer with additional mapping templates.

Can you run alongside an SI's functional workstream?

Yes. Our adaptors slot into your programme plan. We handle the data migration workstream while the SI owns functional design and go-live coordination.

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