EP406: Stop Buying Blind. David Added $1.5M By Fixing His Inventory Forecast With Caiman Data AI.
30 Sept 2026 · 6 min
Amazon seller David LeBlanc grew his business from $30k to $1.09M monthly by switching from revenue-based forecasting to velocity tracking, which measures units sold per day. Using Caiman Data AI to monitor inventory risk, he added roughly $1.5M in revenue while expanding from 6 to 100 SKUs.
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This is the High Voltage Business Builders Podcast. Daily intelligence for operators building brands that last on Amazon, TikTok Shop, Shopify, Walmart, and every channel where demand gets captured. No theory, no gurus, just what's working right now from operators who are in the trenches every single day. Strategy, tactics, real numbers, real mistakes, transparency, everything built with the end in mind, the exit. I'm Neil Twa. Let's get into it.
One operator added $1.5 million to his top line by fixing his inventory forecast. It wasn't about buying more; it was about buying smarter. David LeBlanc stopped bleeding cash on dead stock and started predicting demand with precision. Today, I'm handing you the Voltage 3. This is your challenge for the episode. By the end, you'll know how to spot the velocity gap before it kills your ranking, How to align your purchase orders with real lead times, and how to cut the noise so you only restock what actually moves. These 3 outcomes are the difference between guessing and knowing. We'll unlock them in the close. But before I unlock today's Voltage 3 insights, I wanna shift our focus to why revenue-based forecasting is actively killing your margins. I was reading a recent piece on inventory planning, and it nailed something I see across our 30-brand portfolio every month. Revenue is vanity. Profit is sanity. Cash flow is king. Here is the math. Take total units sold in the last 28 days, divide by 28. That is your daily velocity. Now divide your current inventory by that number. That gives you inventory days. If that number is lower than your supplier lead time, you are already late. You know you will stock out or pay expedited freight. The trap is this: sellers see a slow week, assume the product is dying, and cut their next PO by 50%. Then demand rebounds. They panic. They overorder. Now they have dead stock eating their cash flow. It is a cycle, and it kills margin every time. The fix is tracking velocity across 7-day, 28-day, and 90-day windows. A 40% drop over 90 days is the trigger to decide to promote, bundle or stop buying. Without that trigger, you are just hoping, and hope is not a supply chain strategy. If you want to break down the customer data side of this, go listen to episode 284 to dig into that further. David was doing $30,000 a month with 6 SKUs. He saw a slight dip in sales and cut his next purchase order by 50%. 3 weeks later, he was out of stock. His ranking tanked. He lost customers. He spent months trying to claw back what he lost. Then he switched to velocity tracking. He started looking at units sold per day, not just revenue. He tracked 7-day, 28-day, and 90-day trends. When velocity stayed steady despite a revenue dip, he knew to keep ordering. When velocity dropped 40% over 90 days, he had a clear decision point. He stopped guessing. He started forecasting. By June 2026, his revenue hit a new high of $1,093,000 a month. He had scaled to over 100 SKUs. He added over a million dollars to his top line in a year, not because he got lucky, because he stopped reacting to revenue and started predicting with velocity. And he did it with Cayman Data AI flagging the risks for him across every SKU. That is the power of systematic forecasting. It turns chaos into a plan.
If you want the CEO Operator Blueprint, join Neil Twa, CEO of Voltage, on the next live workshop. He goes over the 5 steps to building generational wealth through almost automated income with FBA. Save your seat at voltage dm dot com slash AI workshop. And now back to the podcast.
All right, here is the Voltage 3. Open business reports and write units per day for the last 14 days on every SKU this forecasting demand, tools to predict sales, and decision touches. Check: Every one of those SKUs has a units per day number. No blank rows. Mark any SKU whose velocity cannot cover inbound lead time without a markdown or a stockout. Check: Each marked SKU says restock, wait, or kill. No maybes. Write the next purchase order only for SKUs you marked restock. And keep the wait and kill rows off that PO. Check the PO draft matches the restock list and the paused SKUs are not on it. Complete all 3 before the next daily episode. If any of this hit close to home, you are not alone. Most operators are drowning in tabs, ads, listings, inventory, pricing, reviews. AI looks like the easy fix, but bad data in means bad calls out. You do not save time, you make expensive mistakes faster. That is not freedom. That is chaos with nobody steering. Here is what works. Cayman Data AI pulls your live Amazon numbers into one clear picture. Ads, listings, sales, inventory. You see what is working and what is costing you money. Not another spreadsheet that eats your week. You stay in charge. You see the reason before you say yes. Nothing runs without your approval. That level of review used to eat hours every week. Caiman AI cuts that down with one live connection to your account. That is how Voltage helps operators save time, protect margin, and grow without losing control. Join the Voltage Business Builders Cohort. It is an elite, invite-only room where operators build brands to exit, backed by proprietary AI tools and a network doing $15 to $25 million a year. Go to voltage dm.com. We will see you back here tomorrow. Until then, stay high voltage.
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