ClearLedger
Beta

AI-native Shopify finance reconciliation

Explain why Shopify’s numbers don’t match.

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.

Deterministic matching. AI-assisted explanations. Evidence retained end to end.
ClearLedger · Reconciliation workspaceIllustrative example
Reconciliation runSeptember Shopify sales
Evidence preserved
Sales report₹428,910
Order export₹425,298
Variance₹3,612
Deterministic result10 causes account for the variance.

Refund timing, cancelled orders, gift-card treatment, and timezone boundaries explain the material difference.

AI-assisted explanation

The numbers are reconciled first. ClearLedger then turns verified causes into a reviewable narrative with links back to the evidence.

Read-only · no source records changedReview evidence
01

Choose a period and preserve the source context

02

Reconcile deterministically, then explain verified causes

03

Review exceptions and export a reproducible close pack

Capabilities

Reconcile every difference. Keep the evidence.

01

Trace every difference to an order

Move from two conflicting totals to a reviewable population

Compare the Shopify Sales report and order export for the same period and filters, then preserve the exact order-level evidence behind the result.

02

Attribute the variance

See which known causes materially changed the number

Classify differences across cancellations, refunds, timezones, gift cards, row inflation, and other deterministic rules before any explanation is written.

03

Ask for a plain-English explanation

Understand the close without trusting a generated total

AI translates verified causes and evidence into a readable account of what changed. It explains the reconciliation; it does not invent or recalculate it.

04

Prepare an audit-ready trail

Give bookkeepers and reviewers evidence they can reproduce

Export CSV and PDF close packs that retain the period, filters, causes, source references, and supporting rows behind each run.

05

Work the exceptions that matter

Direct attention to unresolved and material items

Use exception queues, scheduled runs, payout bridging, and read-only accounting comparisons to focus review where judgment is still required.

06

Keep finance safely read-only

Gain intelligence without letting AI alter source records

Shopify and accounting data remain source evidence. ClearLedger does not write back, and every AI-assisted explanation stays anchored to deterministic results.

AI native, evidence first

Explain the close with evidence.

ClearLedger separates computation, interpretation, and approval so every answer can be followed back to source evidence.

01 / Reconcile

Deterministic by design.

Order IDs, periods, filters, classifications, and totals are resolved through reproducible rules. The model never decides whether the books balance.

02 / Explain

AI works from verified causes.

Once the variance is attributed, AI turns the evidence into plain language, highlights material exceptions, and helps a reviewer ask the next useful question.

03 / Review

People retain sign-off.

Finance teams inspect evidence, resolve remaining exceptions, and decide what enters the close pack. ClearLedger remains read-only throughout.

Reconcile

Close Shopify books with confidence.

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