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Every time you need to know how a SKU is selling across Amazon and Shopify, you are logging into each system, pulling exports with different column names, and reconciling what "that product" is across each one. Ridge had 9 Amazon markets and 5 Shopify stores with SKU names that did not match across any of them. Now Sean gets the answer to any cross-market product question in 45 seconds, from one clean data source.

The Saras Analytics MCP will likely be the most impactful AI tool we use this year." — Connor MacDonald, CMO, Ridge

Most analytics tools are useful. A few become genuinely mission-critical. The difference shows up when you try to remove one. Sean Frank runs Ridge. Every report, every financial plan, every inventory decision runs through IQ. He says removing it would be a material hit to the business. Fewer people needed because of it. Decisions made faster. Data available to anyone who asks, not just whoever owns the dashboard. Book a demo to see what that looks like on your operations.

Shopify. Subscriptions. Ad tools. A 3PL. And a pile of cost spreadsheets. That's where Momentous's numbers used to live. Now the leadership team checks the business in a couple of clicks. CEO Jeff Byers explains how, in 30 seconds.

Using Claude on your business data? Watch this before you trust the next number it gives you. Ridge CEO Sean Frank on why Claude plus BigQuery isn't enough on its own, and how to get the same answer whether you, your CFO or your board asks.

The monthly business review is the most expensive report nobody enjoys making. I’ve watched founders do this themselves because they couldn’t trust anyone else to get it right. Pull the numbers from QuickBooks, sales by channel from one place, by product type from another. Format it in a deck or a spreadsheet. Go line by line. Write up what happened and why. Four days of work, sometimes done by the CEO, and by the time it lands on the 7th, the month it describes is already old news. The painful part is that the report is a lagging indicator built by hand from a dozen disconnected sources, and every month you rebuild it from scratch. SarasIQ kills this problem altogether. SarasIQ MCP Server exposes data to Claude after it is cleaned, stitched, and certified it across every channel, every store, every marketplace. So the weekly or monthly review generates itself. Same structure every time. Revenue by category, what’s up, what’s down, which SKUs are new this month, the comps. IQ knows what launched because it has last month’s data to compare against. You read the story instead of assembling it. Because every number traces back to one certified source, the same question gives the same answer every time, no matter who asks it. The reason most “AI reporting” attempts fall apart is the same reason most data projects fall apart. If you wire up five different connectors yourself, you get a great-looking report with numbers that are wrong, and you can’t even tell where. Same prompt, different person, different answer. You can’t run a leadership udpate on that. We spent ten years doing the unglamorous data work so the report could become boring. Reliable, repeatable, accurate, and built in the time it takes to get a coffee. This is built by data engineers working in ecommerce for 10 years, not vibe coding over a weekend. If you’ve moved your business review out of spreadsheets, I want to hear it. What did the old version cost you in hours, and what does it take now