Trace every difference to an order
Move from two conflicting totals to a reviewable populationCompare the Shopify Sales report and order export for the same period and filters, then preserve the exact order-level evidence behind the result.
AI-native Shopify finance reconciliation
ClearLedger pairs deterministic reconciliation with AI-assisted explanations—so Shopify merchants can trace report differences, understand verified causes, and prepare audit evidence without writing back to the store.
Refund timing, cancelled orders, gift-card treatment, and timezone boundaries explain the material difference.
The numbers are reconciled first. ClearLedger then turns verified causes into a reviewable narrative with links back to the evidence.
Choose a period and preserve the source context
Reconcile deterministically, then explain verified causes
Review exceptions and export a reproducible close pack
Compare the Shopify Sales report and order export for the same period and filters, then preserve the exact order-level evidence behind the result.
Classify differences across cancellations, refunds, timezones, gift cards, row inflation, and other deterministic rules before any explanation is written.
AI translates verified causes and evidence into a readable account of what changed. It explains the reconciliation; it does not invent or recalculate it.
Export CSV and PDF close packs that retain the period, filters, causes, source references, and supporting rows behind each run.
Use exception queues, scheduled runs, payout bridging, and read-only accounting comparisons to focus review where judgment is still required.
Shopify and accounting data remain source evidence. ClearLedger does not write back, and every AI-assisted explanation stays anchored to deterministic results.
ClearLedger separates computation, interpretation, and approval so every answer can be followed back to source evidence.
Order IDs, periods, filters, classifications, and totals are resolved through reproducible rules. The model never decides whether the books balance.
Once the variance is attributed, AI turns the evidence into plain language, highlights material exceptions, and helps a reviewer ask the next useful question.
Finance teams inspect evidence, resolve remaining exceptions, and decide what enters the close pack. ClearLedger remains read-only throughout.
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