EP390: Stop Buying Blind. David Added 1.5 Million Dollars By Fixing His Inventory Forecast With Caiman Data AI.
Focus on analyzing units per day for each SKU and use tools like Caiman Data AI to predict demand accurately. This approach helps you make informed purchasing decisions and reduces the risk of stockouts.
Key Takeaways
- Stop guessing your inventory needs and start predicting demand.
- Use units per day to inform your purchase decisions.
- Avoid cutting orders based on temporary sales dips.
- use Caiman Data AI for smarter inventory management.
Hook
One operator added one point five million dollars 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 three outcomes are the difference between guessing and knowing. We’ll unlock them in the close.
Insight
But before I unlock today's Voltage 3 insights, I want to 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 thirty brand portfolio every month. Revenue is vanity. Profit is sanity. Cashflow is king. Here is the math. Take total units sold in the last twenty-eight days, divide by twenty-eight. 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 fifty percent. 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 seven-day, twenty-eight-day, and ninety-day windows. A forty percent drop over ninety 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 two hundred eighty four to dig into that further.
Example
David was doing thirty thousand dollars a month with six SKUs. He saw a slight dip in sales and cut his next purchase order by fifty percent. Three 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 seven-day, twenty-eight-day, and ninety-day trends. When velocity stayed steady despite a revenue dip, he knew to keep ordering. When velocity dropped forty percent over ninety days, he had a clear decision point. He stopped guessing. He started forecasting. By June 2026, his revenue hit a new high of one million ninety-three thousand dollars a month. He had scaled to over one hundred 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 Caiman Data AI flagging the risks for him across every SKU. That is the power of systematic forecasting. It turns chaos into a plan.
Takeaway
Alright. Here is The Voltage 3. Number one: open Business Reports and write units per day for the last fourteen 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. Number two: 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. Number three: 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 three before the next daily episode.
Episode Summary
I tackle the critical issue of inventory forecasting and how it can make or break your margins. Many sellers, like David LeBlanc, experience the pain of revenue-based forecasting, which often leads to costly mistakes. David was doing thirty thousand dollars a month with just six SKUs, but a slight dip in sales led him to cut his next purchase order by fifty percent. This decision resulted in him running out of stock, tanking his ranking, and losing customers. It took months for him to recover from this misstep.
What I share today is not just theory; it's an operator's playbook for Amazon and ecommerce sellers who want to protect their cash flow. I introduce The Voltage 3, a set of specific moves that can help you predict demand with precision instead of guessing. By focusing on units per day for each SKU and understanding velocity, you can make informed decisions that enhance your business's profitability.
This episode is for sellers at every level who are overwhelmed with tabs, ads, listings, and pricing. Many operators drown in chaos, thinking AI is the easy fix. However, without accurate data, you risk making expensive mistakes faster. It's time to stop buying blind and start building a brand that scales without breaking your bank account.
Tune in to learn how to use Caiman Data AI to transform your inventory forecasting. By implementing these strategies, you'll not only improve your cash flow but also create a sustainable business model. This is a must-listen for anyone serious about their ecommerce success.
Frequently Asked Questions
How can I improve my inventory forecasting?
Focus on analyzing units per day for each SKU and use tools like Caiman Data AI to predict demand accurately. This approach helps you make informed purchasing decisions and reduces the risk of stockouts.
What are the consequences of poor inventory management?
Poor inventory management can lead to stockouts, lost sales, and decreased rankings on Amazon. It can also result in excess dead stock, which ties up cash flow and reduces profitability.
How does Caiman Data AI help with inventory planning?
Caiman Data AI provides precise data analytics that help sellers forecast demand accurately, ensuring they stock the right amount of inventory at the right time. This minimizes waste and maximizes sales potential.
Full Transcript
Hook
One operator added one point five million dollars 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 three outcomes are the difference between guessing and knowing. We’ll unlock them in the close.
Insight
But before I unlock today's Voltage 3 insights, I want to 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 thirty brand portfolio every month. Revenue is vanity. Profit is sanity. Cashflow is king. Here is the math. Take total units sold in the last twenty-eight days, divide by twenty-eight. 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 fifty percent. 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 seven-day, twenty-eight-day, and ninety-day windows. A forty percent drop over ninety 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 two hundred eighty four to dig into that further.
Example
David was doing thirty thousand dollars a month with six SKUs. He saw a slight dip in sales and cut his next purchase order by fifty percent. Three 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 seven-day, twenty-eight-day, and ninety-day trends. When velocity stayed steady despite a revenue dip, he knew to keep ordering. When velocity dropped forty percent over ninety days, he had a clear decision point. He stopped guessing. He started forecasting. By June 2026, his revenue hit a new high of one million ninety-three thousand dollars a month. He had scaled to over one hundred 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 Caiman Data AI flagging the risks for him across every SKU. That is the power of systematic forecasting. It turns chaos into a plan.
Takeaway
Alright. Here is The Voltage 3. Number one: open Business Reports and write units per day for the last fourteen 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. Number two: 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. Number three: 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 three before the next daily episode.
CTA
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. Caiman 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 fifteen to twenty-five million dollars a year. Go to voltagedm.com. We will see you back here tomorrow. Until then, stay high voltage.
Your Amazon tools can read the data. They cannot act on it.
In a recent 143-seller AI challenge, 47% of sellers said the same thing: take Amazon Ads off my plate first. Almost every tool answers with another read-only report you still have to act on by hand. Caiman Data AI is different. 85 Read + Act tools on Amazon's own APIs run the analysis, put the recommendation and the trade-offs in front of you, and write the change back to Amazon on your go. You stay in the CEO chair.
Amazon Ads comes off your plate first
47% of sellers want AI to take over Amazon Ads before anything else. Full campaign audits, bids, placements, negatives, and bulk changes run under your supervision instead of eating your week.
Escape the read-only trap
Downloading reports is not automation. Read + Act tools publish listing fixes, bid changes, and reorder calls straight back to Amazon, previewed before anything ships.
Time back, pointed at the exit
Sellers in that challenge ranked scale and exit as their top two goals. The same stack saves us 17 hours a week and an average of $26,400 a year across our 30 brands, and those hours go into building an asset a buyer wants. Our largest client exit: $72M.
Voltage Business Builders is not software you buy and figure out alone. It is an invite-only room of 320+ elite operators, plus Caiman AI access that connects your live business data to the systems we run on our portfolio brands. You stay in the CEO chair while AI does the analytical horsepower. The room keeps you on the right fundamentals so you 10x results, grow net profit the right way, and build toward empire or retirement with exit in mind.