Every sale you process is a signal. Gandalf Analytics builds a custom tool that reads them all—automatically protecting your best-selling products, clearing out what's not moving, and uncovering cash you didn't know you had—while your competitors are still piecing together spreadsheets on Monday morning.
Cash uncovered this quarter
$284,600
Best-seller protected
Reorder placed — 14 days before stockout
Slow mover flagged
Markdown clears $18,400 in 3 weeks
Cash freed this week
$46,200 back in your account
Trusted by DTC brands
Your customer transaction data already knows what to protect, what to clear, and where cash is hiding—Gandalf Analytics turns it into three automatic actions
0
Stockouts on top-selling products. Your sales history shows exactly which products drive revenue—reorder triggers fire weeks before they run dry.
-58%
Reduction in non-moving stock. When a product disappears from your transactions, it gets flagged with a markdown or bundling plan before it rots on the shelf.
$180K
Average working capital surfaced from transaction data in the first 90 days — cash that was sitting in stock you didn't need.
While your competitors are still piecing together spreadsheets, Gandalf Analytics has already read every transaction and queued the three moves that matter
Your best-sellers never run out. Every sale updates the demand forecast in real time, and purchase orders are raised automatically—weeks before a stockout would cost you sales and customers.
Slow movers don't get to hide. The moment a product goes quiet in your transaction stream, it's flagged with a concrete exit plan—markdown, bundle, or liquidate—so shelf space and cash come back to work.
See exactly where your cash is trapped. Every dollar flowing through your transactions is mapped, scored, and ranked by how fast it can come back—cash you didn't know you had, made visible.
Gandalf Analytics connects the pipes, cleans the data, and pulls out the hidden cash.
The engagement deliverableOne screen, built to fit your data, that answers the only question that matters—where is my cash, and when do I get it back?
+$284K
+23%
Low
+$284K
-58%
Cash Opportunity
Markdown 3 products to free $18,400
Your cash position, on any device — before your Monday coffee is cold
Four inputs, thirty seconds—see how much working capital your customer transaction data could give back every year
Business profile
Cost pressure
Forecast method
How do you predict demand and set inventory today?
Estimated annual hidden cash
$1,240,000
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Where that cash is hiding
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Based on composite data from 14 CPG brands $10M–$200M. Individual results vary. The diagnostic provides brand-specific analysis.
Working capital is cash you already own—it's just trapped. Alcoa freed $1.4 billion by cutting 23 days out of its net working capital cycle, sustained over four years. The same discipline, applied to your customer transaction data.
Source: McKinsey Quarterly, “Uncovering cash and insights from working capital”
A six-week consulting engagement that ends with a cash flow command center built to fit your data—starting with a small proof of concept
A fixed-fee POC ($5–10K) on one slice of your data, answering one question—which products to protect, what to clear, or where cash is trapped. Real numbers from your own business before you commit to the full engagement.
We connect your transactions, subscriptions (if any), inventory, ad spend, and customer data—from Shopify, Amazon, your 3PL, or even the spreadsheets themselves. No rip-and-replace, no downtime, nothing for your team to learn.
Your transaction history classifies every product: protect, clear, or watch. You get a ranked list of exactly where cash is trapped and the fastest path to getting it back—our benchmark scenarios surface six figures in this step alone.
You own a command center built around your data—reorder triggers protect your best-sellers, markdown alerts clear your slow movers, and a weekly cash digest lands in your inbox. Scope sets the pace: how clean your data is and how thorough you want the build. Decisions made before Monday morning, every week.