About
Iris Finance is an AI-native FP&A solution purpose-built for consumer packaged goods (CPG) brands and producers. The platform aggregates data from every sales channel a brand operates—including Amazon, Shopify, TikTok Shop, wholesale, and brick-and-mortar retail—and delivers a unified financial picture in real time, not at month-end. At its core, Iris Finance provides daily profit and loss tracking by SKU, channel, and cohort, automatically surfacing how fees, returns, ad spend, and chargebacks erode contribution margin. Its AI-generated financial modeling tool allows users to build comprehensive models from a simple text prompt rather than a spreadsheet, while automated variance analysis keeps actuals continuously measured against budget. The platform also includes a natural language query interface—users type questions in plain English and receive live financial data with visualizations, eliminating the need for a BI team or SQL knowledge. Board-ready decks and custom dashboards are generated automatically. On the operational side, Iris Finance covers inventory planning, sales forecasting, and cash flow modeling in a unified S&OP workflow, helping brands avoid stockouts and overstock situations. One-click integrations connect QuickBooks, NetSuite, Xero, Meta Ads, Google Ads, Plaid, and more, spinning up a fully operational data warehouse in minutes rather than months. Iris Finance is ideal for DTC brand founders, finance leads, and operations teams at consumer brands who need enterprise-grade financial intelligence without a large engineering or finance staff.
Key Features
- Real-Time P&L by Channel & SKU: Track daily profit and loss at the SKU, channel, and cohort level, with automated variance analysis comparing budget vs. actuals so you always know where your brand makes—or loses—money.
- AI-Generated Financial Models: Generate comprehensive financial models from a plain-text prompt instead of building spreadsheets from scratch, saving hours of manual modeling work.
- Natural Language Querying: Ask financial questions in plain English and receive instant answers with live data and charts—no SQL, no BI team, and no waiting on a fractional CFO.
- CPG Data Infrastructure in Minutes: Pre-built connectors for Amazon, Shopify, TikTok Shop, wholesale, and retail create a unified, CPG-specific data warehouse in 10 minutes with no custom engineering required.
- Inventory Planning & Sales Forecasting: Unified S&OP planning with scenario modeling tied to cash flow, purchase order confidence scoring, and working capital optimization to prevent stockouts and overstock.
Use Cases
- A CPG brand founder uses Iris Finance to see daily contribution margin by channel—Amazon vs. Shopify vs. wholesale—and identifies that Amazon fees are consuming 38% of revenue, prompting a pricing strategy adjustment.
- A consumer brand's finance lead replaces a manual spreadsheet forecasting process with Iris Finance's AI-generated financial models, cutting monthly close time from two weeks to two days.
- An ecommerce operations team uses the natural language query interface to ask 'Why did COGS spike 22% in Q2?' and receives an instant, chart-backed breakdown without involving a BI analyst.
- A DTC brand uses Iris Finance's inventory forecasting and S&OP tools to align purchase orders with projected cash flow, avoiding a costly overstock situation heading into a slow season.
- A brand's leadership team auto-generates a board-ready financial deck directly from Iris Finance dashboards, eliminating hours of manual slide building before quarterly investor reviews.
Pros
- Purpose-Built for CPG Brands: Unlike generic BI tools, Iris Finance uses a CPG-specific data schema that understands channel fees, Amazon deductions, ad spend, and contribution margin natively.
- Fast Time-to-Value: One-click integrations and pre-built connectors mean brands can go from sign-up to a live, unified financial model in under 10 minutes with no engineering resources.
- No-Code Financial Intelligence: Natural language queries and auto-generated dashboards democratize financial analysis, removing dependency on SQL developers, data engineers, or expensive fractional CFOs.
- Broad Integration Ecosystem: Connects seamlessly with Shopify, Amazon, QuickBooks, NetSuite, Xero, Meta Ads, Google Ads, TikTok Ads, Plaid, and more without API keys or CSV uploads.
Cons
- Niche Target Audience: Iris Finance is specifically designed for CPG and consumer brands; it may not suit SaaS companies, agencies, or other business models with different financial structures.
- Paid-Only Tier: The platform does not appear to offer a free tier or self-serve trial, requiring interested users to book a demo, which raises the barrier to initial evaluation.
- Dependent on Integration Quality: The accuracy of P&L and forecasting data relies on the completeness and quality of connected integrations; brands with unusual or custom sales channels may face gaps.
Frequently Asked Questions
What types of businesses is Iris Finance designed for?
Iris Finance is purpose-built for consumer packaged goods (CPG) brands and producers that sell across multiple channels including Amazon, Shopify, TikTok Shop, wholesale, and retail.
How long does it take to get started with Iris Finance?
Using pre-built one-click connectors, brands can set up a unified data warehouse and have a live financial model running in approximately 10 minutes—no engineering work required.
Do I need a data engineer or developer to use Iris Finance?
No. Iris Finance is designed to replace the need for a dedicated data engineer with its pre-built CPG data schema, one-click integrations, and natural language query interface.
Which platforms and tools does Iris Finance integrate with?
Iris Finance integrates with Shopify, Amazon, TikTok Ads, Meta Ads, Google Ads, QuickBooks, NetSuite, Xero, Bill, and Plaid, among others, all via one-click connections without needing API keys or CSV uploads.
Can Iris Finance help with inventory planning and cash flow forecasting?
Yes. The platform includes unified S&OP (sales & operations planning) with scenario planning tied to cash flow, purchase order confidence scoring, and working capital optimization to help brands manage inventory more effectively.
