Reconciliation Automation for Ecommerce:
Close Your Books in Minutes, Not Days

Reconciliation automation is a system that automatically matches transactions across your payment processors, bank accounts, and accounting software. An AI-powered system goes further: it identifies patterns in discrepancies, flags anomalies in real time, and learns from corrections to improve match accuracy over time. Instead of someone manually cross-referencing Shopify payouts against Stripe settlements against your bank feed at month-end, the AI does the matching continuously and surfaces only the exceptions that need human review.

QuickBooks and Xero are excellent accounting platforms, but their built-in reconciliation is rules-based and single-source. They match transactions you manually import, one platform at a time, using fixed rules. AI reconciliation connects multiple payment sources simultaneously, learns your specific transaction patterns, handles exceptions automatically, and flags discrepancies in real time. If you're reconciling across Shopify, Stripe, Amazon, and a bank feed, no accounting platform does that automatically out of the box.

Yes. The system connects to all your payment and payout sources via API. We currently integrate with Shopify, Shopify Plus, Amazon Seller Central, Stripe, PayPal, Razorpay, QuickBooks Online, Xero, NetSuite, Zoho Books, and direct bank feeds. Transactions from all connected sources are matched against each other and against your accounting records automatically. If you use a platform not on this list, let us know on your first call and we'll give you a straight answer on feasibility.

Most TwoDots reconciliation implementations take 4 to 6 weeks from kickoff to live system. Weeks 1 and 2 cover data audit and gap analysis. Weeks 3 and 4 cover AI model training and integration setup. Weeks 5 and 6 cover testing and handoff. Businesses with clean API access and existing accounting platforms move faster. We give you a specific timeline on your first call based on your platforms and current data state.

No, clean data is not required. Almost every business we onboard has gaps, duplicates, or data spread across multiple systems. Our Audit phase figures out what's usable, what needs cleaning, and what can be worked around. In most cases we can start with 3 months of transaction exports from your main payment sources and your existing accounting records. You'll know exactly what we need and what to expect before we start any technical work.

Pilots start from $2,500, which covers a single reconciliation use case — typically one payment source against your accounting platform. Full multi-platform systems depend on the number of integrations, transaction volume, and exception complexity. We don't charge recurring SaaS fees for the system itself. Book a call and we'll give you a specific number based on your platforms and current process.

It replaces the manual transaction matching and exception hunting that takes up most of their reconciliation time. Your bookkeeper or accountant still reviews flagged exceptions, applies judgment to edge cases, and manages your accounts. What changes is that they're no longer spending 8-12 hours a month on mechanical matching work. Most clients find their finance staff are more effective after automation because they're working on what actually needs human judgment.

The system flags it automatically with the transaction ID, the source, the amount, and the likely category of mismatch. You get a notification through your chosen channel — Slack, email, or directly inside QuickBooks or Xero. You review the flagged items, make the call, and the system learns from your decision to handle similar cases automatically in future. The goal is to get the exception queue down to a small number of genuinely ambiguous items, not to eliminate human judgment entirely.

A2X and Finaloop are rule-based reconciliation tools that work well for standard Shopify-to-QuickBooks flows. They break on edge cases: non-standard fee structures, custom payout batching, marketplace-specific deduction types, and partial refunds across periods. TwoDots builds a custom AI matching system trained on your specific transaction patterns — not a generic ruleset. If A2X or Finaloop is working for you, you probably don't need us. If you're still spending hours on exceptions every month, that's the gap we fill. Pilots start from $2,500 and cover your specific use case.

For a $3M–$10M ecommerce brand, the direct ROI comes from three sources: time saved (8-12 hours of finance staff time per month, typically valued at $75–$150/hour), recovered revenue from disputes caught early (chargebacks and fee discrepancies flagged before the 30-60 day dispute window closes), and faster close (same-day books vs 8-9 days late, enabling faster decision-making). Most clients recover the pilot cost within the first quarter from disputed fees alone. We quantify your specific ROI on the strategy call before any engagement starts.

We connect to your platforms via official OAuth APIs — Shopify, Stripe, Amazon, and accounting platforms all support read-only API access, which is what we use for reconciliation. We never store raw card data or PII. Transaction data used for matching is processed and not retained after reconciliation is complete. We work within your existing security setup and can accommodate specific data residency or access control requirements. We'll walk through the data flow in detail on your first call.

Yes. Multi-currency reconciliation is one of the most common reasons businesses come to us — it's where manual matching breaks down fastest. The system normalises transactions to a base currency using exchange rates at the transaction date, accounts for FX conversion fees applied by each payment processor, and flags discrepancies caused by rate timing differences rather than genuine errors. If you sell in multiple currencies across Shopify, Stripe, or Amazon, this is handled as part of the standard implementation.