Connect
Bring stores, ads, payouts, and accounting into one workspace.
Reconcile everything that matters
Your numbers don't match.
Your numbers don't match.
Shopconcile shows you why.
Identify why Shopify, Meta, payouts, refunds, and costs disagree. See the true picture, fix the issues, and make confident decisions.
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Overview Simulated view
Your reconciliation summary at a glance
Shopify Revenue
Meta Revenue
Mismatch (You're missing)
$26,800▼ 15.3% vs Apr 17 - Apr 30Data Confidence Score
62% Moderate Risk
Reconciliation summary
4 issue categories
You're missing $26,800. Here's why.
Sales over timeTotal Sales vs Actual Payouts
Top channels by mismatch
- Shopee$12,000 (44.8%)
- Lazada$7,200 (26.9%)
- TikTok Shop$4,200 (15.7%)
- Others$2,600 (10.4%)
Works with the platforms you already use
Shopify
Meta
Google Ads
TikTok Shop
SShopee
Lazada
QuickBooks
Xero
CSV Upload
Why AI needs the full picture
Garbage in, garbage out.
Incomplete data does not just distort reporting. It changes decisions. If unpaid orders, COD delivery failures, delayed refunds, missing ad spend, or late shipping invoices are absent, AI can confidently recommend the wrong move.
Decision risk
AI can sound decisive while the data is still provisional. Reported ROAS is not the same as cash-realized ROAS, and “profitable” is not the same as “collected and settled.”
The problem
You have sales.
You have sales.
You have payouts.
You have dashboards.
But none of them match.
Shopify says one thing. Meta says another. Refunds arrive days later. COD remittances are unclear. So you export everything to spreadsheets and try to reconcile it by hand.
It's slow. It's messy. And it leads to wrong decisions.
Actually profitable?
ShopifyRevenue
$250,000Orders & refundsMeta AdsRevenue
$276,800+$26,800 gapSShopee
Payout
$95,200COD pendingLazada
Payout
$88,400Fees delayedTikTok ShopPayout
$92,100Returns lag
AI decision risk
AI can't protect decisions if the data is wrong.
If unpaid orders, COD fees, refunds, and attribution issues are missing or delayed, AI can confidently recommend the wrong move.
Before reconciliation
Reported profit looks strong until delayed costs, refunds, and collection issues are matched.
ROAS4.8x
Net Profit$88,000
Profit Margin32%
Cash Collected$210,000
Looks healthy
- Revenue trend is positive
- ROAS is above target
- Profit looks healthy
Data Confidence: 62% — Moderate Risk
Hidden issues not yet reflected
These arrive late, live in different systems, or use different attribution rules.
Unpaid orders still not reconciled
COD orders have delivery proof but remain unpaid in Shopify.
COD courier fees invoiced later
Shipping and collection fees arrive after the conversion date.
Refunds posted after conversion
Returned orders reduce profit days after ad reporting updates.
Duplicate attribution risk
Pixel and CAPI may both claim the same purchase event.
Payout timing mismatch
Bank settlement does not match gross order revenue timing.
With Shopconcile
Trusted Recommendation: Wait for reconciliation before increasing spend.
Fix COD payment state, refunds, and attribution overlap first.Bad inputs don't just affect reporting. They change decisions.
See a sample diagnosisShopconcile reconciles the truth before AI makes the call.
The solution
Shopconcile is your ecommerce reconciliation layer
We connect your platforms, normalize the data, and explain the difference - so you always know which number to trust.
Normalize
Align timestamps, currencies, IDs, and attribution windows.
Reconcile
Match orders, refunds, fees, remittances, and payouts.
Explain
Show the likely cause behind each disagreement.
Monitor
Track confidence as new events and payouts arrive.
Act
Resolve issues before they distort decisions.
Why it wins
Built for messy ecommerce reality
Most tools stop at reporting. Shopconcile detects, fixes, and reconstructs the financial truth behind each order, payout, return, and cost event.
Moat 01
Verify whether profit is actually real.
Most tools calculate profit from the first number they can see. Shopconcile checks the evidence behind refunds, COD gaps, delayed fees, and payout timing before calling it true.
Profit is reported, but not verified against refunds, COD status, and delayed fees.
Profit Overview
After refunds, fees, and recovery
Reported Profit$88,000Dashboard total
Trusted ProfitNot verifiedAfter reconciliation
Confidence62%Decision readiness
Moat 02
Track what happens after the sale.
A refund is not the end of the financial story. Returned items can be recovered, written off, resold, or tied to extra handling costs that arrive later.
The return is booked as a loss before recovery and handling are applied.
Post-sale issues affecting profit
Refund, recovery, handling, and final net leak
Refund-$120Issued
RecoveryNot appliedRecovered value
Net Impact-$120True leak
OrderIssueCostAction
#4821Refund no return-$84Detected
#4837Recovery resale+$45Pending
#4844Handling CostPendingMissing
Moat 03
Recover truth from imperfect batch data.
Merchants often have batch-level liquidation, refund, and payout data instead of perfect order records. Shopconcile still reconstructs a usable profit impact.
Batch-level recovery is not yet allocated back to refunded units.
Liquidation recovery allocation
Batch-level recovery mapped back to refunded units
Refunded Units124Batch matched
Recovery Applied$0Liquidation value
ConfidencePendingEstimated allocation
Total refund exposure$6,232
Recovery allocated$0
Estimated LossUnknown
Moat 04
Move from finding issues to fixing them.
Most analytics tools stop once they show a discrepancy. Shopconcile turns the diagnosis into a correction workflow merchants can review and apply.
The discrepancy is known, but the operational state is still unresolved.
COD Reconciliation
Orders with verified payment proof
Unpaid COD Orders9Shopify state
Cash Collected$0Proof matched
Profit ImpactPendingAfter correction
#1042 Jane SmithUPS + Bank proof matched
Unpaid#1043 Mark ReyesUPS CSV proof matched
Unpaid#1044 Maria GarciaBank CSV needs review
Review
Moat 05
Show whether a metric is safe to act on.
Healthy-looking ROAS can still be unsafe when refunds, delayed payouts, and attribution overlap are incomplete. Shopconcile gates the decision until the data is reconciled.
The recommendation is based on healthy-looking but incomplete inputs.
Scaling recommendation
Before and after reconciliation
ROAS4.8xReported
ConfidenceModerateDecision safety
Action+25% spendRecommendation
Initial AI recommendationIncrease spend by 25%
After reconciliationNot checked
ReasonRefund lag + attribution overlap
These are not just dashboards. They are correction workflows.
Each flow turns a system disagreement into a clearer number, an accountable fix, and a safer decision.
How the gap impacts your key metrics
| Metric | Current (With Gap) | After Fixes (Est.) | Change | Change % |
|---|---|---|---|---|
| Revenue (Shopify) | $250,000 | $276,800 | +$26,800 | +10.7% |
| Gross Profit | $125,000 | $145,800 | +$20,800 | +16.6% |
| ROAS (Meta) | 4.20x | 4.95x | +0.75x | +17.9% |
| CAC (Blended) | $98.45 | $79.10 | -$19.35 | -19.7% |
| MER (Meta) | 4.20x | 4.95x | +0.75x | +17.9% |
| Net Profit | $68,000 | $88,800 | +$20,800 | +30.6% |
| Profit Margin | 27.2% | 32.1% | +4.9 pts | +18.0% |
Simulation Impact Breakdown
Mark unpaid orders as paid (9 orders)+$12,450
Remove double attribution (Pixel + CAPI)-$7,800
Apply correct attribution window+$5,200
Include refunds in Meta view-$4,100
Sync fees & payouts timing+$6,950
Estimated Final Gap
$150 0.3% difference (within normal variance)See the full picture. Fix the issues. Trust your numbers.
Discrepancies ●
Action Center 12
COD Reconciliation 9
Simulation Run
Reports PDF
Connections 9
Loved by ecommerce operators who trust their numbers
KT
Kevin T.
DTC Brand Owner
"I thought we were profitable until Shopconcile showed we were overestimating Meta revenue."
$18K discrepancy uncovered
SM
Sarah M.
Ecommerce Director
"The confidence score stopped us from scaling a campaign before refund lag caught up."
22% lower true ROAS identified
JR
James R.
7-Figure Store Owner
"Finally, one place that explains why orders, ads, fees, and payouts never line up."
10+ hrs saved every week
From confusion to clarity. From data to decisions.
Join early access and be the first to bring truth to your numbers.