Automation & Reporting
Turn fragmented exports into a data workflow with sources, exceptions and decision rules.
D2 connects Orders, Settlement, Ads, COGS, SKU mapping and operating sources into workflows that can be validated, automated and recovered when data or integrations fail.
- ✓ Orders ↔ Settlement
- ✓ SKU mapping
- ✓ n8n/API
- ✓ Exception-first P&L
Direct answer
What is E-commerce Automation & Reporting?
It is the service layer for ingesting, normalizing, mapping, reconciling and delivering commerce data through one controlled logic. The objective is not real time at any cost; it is fewer manual handoffs, more traceability and the right exception reaching the right owner.
Operating problem
What this service is designed to fix
D2 starts from the operating failure mode before choosing tactics, tools or output volume.
- Teams spend hours consolidating spreadsheets and still cannot trace variances.
- Orders, payout, Ads and COGS use mismatched periods or identifiers.
- Automations run without retry, error or recovery paths.
- Dashboards hide missing mappings behind assumptions.
Scope
Core execution scope
Final scope depends on the brand, platform access, data coverage and ownership agreed during onboarding.
- Source inventory and canonical data model
- File/API/webhook ingest based on the source
- SKU/identifier mapping and effective-date rules
- Orders ↔ Settlement reconciliation
- Ads, COGS and variable-cost integration
- Exception queues, reporting workflow and delivery automation
Operating loop
How D2 turns the scope into a repeatable cadence
The workflow needs explicit inputs, owners, review points and a rule for what changes next.
- Define the business question and source of truth for each metric.
- Preserve raw sources, then normalize into a canonical model.
- Reconcile identifiers, timestamps and cost rules while separating exceptions.
- Automate repeatable steps with validation, retry and failure alerts.
- Review data quality, latency and decision impact before increasing freshness.
Evidence
Data and proof used to support decisions
D2 separates source evidence from assumptions and keeps missing or unresolved inputs visible as exceptions.
- Raw Orders and Settlement/Income
- Ads campaign data
- SKU/cost master with effective dates
- Mapping coverage and reconciliation exceptions
- Workflow logs, retry/error records and delivery status
Measurement
Metrics are read in business context
No single metric proves success. D2 connects operating signals to revenue, cost, contribution and the next decision.
- Reporting time removed
- Mapping/reconciliation coverage
- Exception count and resolution latency
- Data freshness / reporting latency
- Successful workflow execution rate
- Contribution/P&L coverage when cost is complete
Boundaries
What needs to be explicit before execution starts
Clear boundaries protect measurement quality and prevent one service from being treated as every e-commerce task.
- This does not automatically replace accounting or tax systems.
- Real-time delivery is not promised when source reliability does not support it.
- COGS and off-platform costs require a confirmed business source.
Engagement
The proposal follows source complexity and operating ownership.
D2 defines data sources, platforms, mappings, integration method, reporting scope, cadence and recovery ownership before issuing a proposal.
Contact for proposalFAQ
Frequently asked questions
How is Automation & Reporting different from Commerce Control?+
Automation & Reporting is the service layer for ingest, mapping, reconciliation, exception handling and workflow design. Commerce Control is the technology/product layer used to view and operate normalized commerce data.
Do we need a real-time API to automate reporting?+
No. D2 can start from controlled exports and automate progressively. Real-time integration is valuable only when freshness materially changes decisions enough to justify integration and reliability cost.
Does D2 use n8n?+
Yes when it fits orchestration and integration. Production workflows still need validation, idempotency, retry, error handling, persistence and observability; n8n can also be combined with custom code and APIs.
How are Orders and Settlement handled?+
Orders support sales-period analysis while Settlement supports payout and realized deductions. They are reconciled through stable identifiers without forcing both datasets onto the same timestamp.
What happens when a SKU is unmapped or COGS is missing?+
The item remains visible in an exception layer. D2 does not inject an arbitrary average cost or mapping merely to make the dashboard look complete.
Can reports be delivered automatically?+
Yes when delivery automation is in scope. Schedule, freshness checks, validation and failure alerts need to be explicit so automation does not distribute invalid numbers.
Does this replace accounting software?+
No. The layer is designed for commerce operations, reconciliation and management reporting, not as a default replacement for accounting, tax or statutory reporting systems.
How is pricing determined?+
D2 does not publish a fixed price table. The proposal depends on data sources, platforms, mapping complexity, integration method, reporting scope, refresh cadence and D2 ownership.