Finance & accounting with Claude · For e-commerce

Ask Claude about your finances. Trust the answer.

Point AI at a raw e-commerce finance stack and you get confident, wrong answers. Blue Onion gives Claude one clean, reconciled, GAAP-correct view of your whole business, so the answer is right the first time. No data plumbing. No second-guessing.

Book a demo → See how it works

Same question · two answers

"What was revenue last month?"

Generic AI on raw data

Wrong

"$2.41M." Quietly includes gift card sales and sales tax collected, double-counts orders placed on TikTok that also come through Shopify, and can't tie back to the books.

Claude on Blue Onion

Right, and explainable

$2.08M net revenue (ASC 606, recognized on shipment). Excludes $214K of gift cards sold and $163K sales tax. Ties to the deferred revenue schedule, is auditable, and matches your financials.

Ties to GAAP financials

The model was never the problem. The data underneath it was.

E-commerce finance lives across Shopify, Amazon, Stripe, PayPal, NetSuite, banks, and a dozen more. Hand an AI those raw feeds and it guesses at what reconciles, what revenue means, and how returns and fees work. In finance, a confident guess is a wrong answer.

Why the answers are right

Your team's secret weapon.

Blue Onion does the hard work upstream so Claude reasons over verified truth, with the rules of e-commerce accounting already built in.

Clean data, already connected

Reconciled and verified across every source: orders, processors, marketplaces, banks, and your ERP. You don't connect each one to Claude. Blue Onion already has them all, in one context.

Built to minimize hallucinations

The data is structured so the model works from verified, reconciled facts, not raw logs it has to interpret. Less room to guess means far fewer made-up answers.

It knows the rules of accounting

Ask about revenue and you get GAAP revenue, not gift card sales or sales tax collected. ASC 606, returns, fee waterfalls, and deferred revenue are encoded, not inferred.

Pre-trained on your domain

It already understands e-commerce, retail, and accounting, so your team gets expert-level answers without spending months teaching Claude how your business works. The context is built in from day one.

Lower cost, no "you're right" loop

Because answers are grounded, you stop burning time and tokens correcting the model. Roughly 90% of transactions never hit the context window, which cuts cost and latency.

One source of truth, not many tools

Finance, accounting, and your data team all work from the same reconciled numbers Claude does. The board deck, the close, and the chat answer all agree.

How it works

From fragmented feeds to an answer you can trust

Blue Onion's Fabric layer turns raw e-commerce data into reconciled, context-rich truth, then exposes it so Claude can query it directly.

Ingest

Orders, payouts, marketplaces, and bank statements from hundreds of integrations, already connected, aggregated, and normalized. You never explain how a payout report differs from an order line or a bank statement.

Reconcile

Every transaction matched, cleared, and verified at the ledger level. Clean by construction.

Contextualize

Each data point wrapped in accounting meaning: GAAP treatment, e-commerce logic, and a full audit trail.

Expose to Claude

An MCP server lets Claude query your reconciled finances directly, with zero custom plumbing.

Want the technical detail? Explore Fabric, the system of context for financial AI →