After building a 7-figure Amazon FBA business across the UK and US marketplaces, Hasan Uruc discovered that one of the biggest challenges wasn't finding products or generating sales. It was making inventory decisions quickly and accurately.
Every week, he found himself asking the same questions: What should I reorder? When should I reorder it? How much should I buy?
Despite having access to Amazon reports, spreadsheets, forecasting tools, and supplier data, inventory planning still consumed hours every week. That frustration eventually led to the creation of NovaMind AI, an Amazon FBA inventory forecasting software platform designed to act less like a dashboard and more like an inventory operator.
We sat down with Hasan to discuss inventory forecasting, stockout prevention, and why he believes the future of Amazon inventory management is AI-driven decision-making.
From Amazon Seller to Software Founder
"I had been selling on Amazon for over five years and built a 7-figure FBA business across the UK and US marketplaces.
As the business grew, inventory became one of the most stressful parts of running it. Even with spreadsheets, reports, and forecasting tools, I was still spending hours every week answering three simple questions: what to reorder, when to reorder it, and how much to buy.
That was the moment I realised the real problem wasn't access to data. It was turning data into decisions."
The Hidden Cost of Stockouts
For many Amazon sellers, inventory mistakes don't show up immediately on a profit-and-loss statement.
A stockout means lost sales, but the damage often goes much deeper.
"The impact is bigger than most sellers realise. A stockout doesn't just mean lost revenue. It can damage rankings, reduce advertising efficiency, and take months to recover from.
At the same time, over-ordering creates a different problem by tying up cash that could be invested elsewhere.
Most tools provide dashboards and reports, but they still leave the final decision to the seller. You end up with more information, but not necessarily more clarity."
What NovaMind AI Does Differently
Rather than creating another reporting platform, Hasan wanted NovaMind AI to function like a virtual inventory manager.
"NovaMind AI is built to act like an inventory operator rather than a reporting tool.
Instead of showing charts and metrics, it tells you exactly what to do: which products need attention, how much to reorder, the best shipping method, and which inventory should be prioritised based on business impact.
The focus is helping sellers make better decisions faster, not handing them more data to analyse."
This approach positions NovaMind AI differently from many traditional Amazon inventory forecasting software solutions.
How NovaMind AI Forecasts Demand
Without revealing the platform's proprietary models, Hasan explained that the system combines multiple signals rather than relying on a single forecasting method.
"We combine historical sales velocity, trend analysis, seasonality, supplier lead times, inbound inventory, stock coverage, and operational constraints.
We also pay attention to how demand is changing rather than relying on a simple average.
The goal is recommendations that reflect real-world inventory management, not a theoretical forecasting model."
The result is an Amazon inventory forecasting software platform designed specifically for the realities of Amazon FBA operations.
A Monday Morning That Used to Take Three Hours
One of NovaMind's beta users manages approximately 60 SKUs across multiple suppliers in the pet supplies and home goods categories.
Every Monday morning at 8:30 AM, she used to sit down with Seller Central, Google Sheets, and supplier emails open side by side. It typically took between two and three hours to determine what needed reordering.
After connecting NovaMind AI to her Amazon account, her routine changed dramatically.
On her first Monday using the platform, she received a WhatsApp briefing at 8:31 AM. Twelve SKUs required attention. Five were classified as urgent. Each recommendation already included reorder quantities, stock coverage analysis, and supplier lead-time calculations.
By 9:05 AM, her purchase orders had been submitted. What previously consumed an entire morning took just 34 minutes. The actual decision-making process took less than 30 seconds.
One particular product, an organic dog treats listing generating approximately £4,000 per month in revenue, was approaching a stockout. A spreadsheet error had caused the supplier lead time to be entered incorrectly weeks earlier. NovaMind AI identified the issue using real-time Amazon inbound inventory data and flagged the risk before it became a costly problem.
Who NovaMind AI Is Built For
NovaMind AI is currently focused on Amazon FBA sellers ranging from growing brands to multi-million-pound operations. It is particularly valuable for private-label sellers managing multiple suppliers, long lead times, and increasingly complex inventory decisions.
"The feedback we hear most often isn't about forecasts. It's about confidence.
Sellers spend less time analysing reports and more time executing decisions.
Many tell us they're saving several hours each week while gaining greater confidence in their inventory planning process."
The Challenge of Becoming a Founder
While Hasan spent years operating an Amazon business, building software required a different mindset.
"The hardest part was accepting that what works in your own business doesn't automatically become a product.
You have to convert years of experience into systems, workflows, and software that work for sellers with completely different products, supply chains, and goals.
Building something repeatable and scalable is a very different challenge from solving your own problem."
Product Hunt and Market Validation
NovaMind AI recently launched on Product Hunt, providing an opportunity to gather feedback from founders, ecommerce operators, and Amazon sellers.
"The response has been encouraging.
What stood out most wasn't the votes or rankings. It was the conversations.
Many sellers immediately recognised the inventory planning challenges we're solving because they've experienced them personally.
For us, Product Hunt was validation that we're addressing a genuine business problem."
The Future of AI Inventory Management
Hasan believes inventory software will increasingly move away from reporting and toward autonomous decision support.
"Our vision is to build the operating system for inventory decisions.
We want NovaMind AI to evolve from forecasting into a complete AI inventory operator that helps businesses manage purchasing, supplier planning, inventory strategy, and cash flow allocation.
Amazon is our starting point, but the long-term opportunity extends across ecommerce businesses and multiple marketplaces."
Advice for Other Founders
For operators considering turning their own business experience into software, Hasan offers simple advice:
"The best products often come from solving your own frustrations.
If you repeatedly encounter a problem and can't find a solution that genuinely works, there's a good chance others are facing the same challenge.
Talk to customers, validate the pain point, and start simple.
Real operational experience is one of the biggest advantages a founder can have."
Final Thoughts
The next generation of Amazon FBA inventory management software may not win by showing sellers more charts, reports, or dashboards.
It may win by making better decisions for them.
If NovaMind AI succeeds in its vision, inventory forecasting software will become less about analysing data and more about knowing exactly what action to take next.
