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Wholesale speadsheet analysis takes lots of time and effort to get through. Did you know the other softwares only check the results for today? Without historical data, how can you make an informed, data driven decision? We are offering the only analyzer on the market. We have a proprietary algorithm that will analyze thousands of datapoints, blended with your personal purchasing criteria, to quickly find just the products you want to sell.
Fusion Analyzer goes way above and beyond the competition doing product analysis, not just gathering data and dumping it on your screen.
We tailor our proprietary algorithm to your specific purchasing criteria
Why waste days analyzing products yourself when software can do it in minutes?
Using historical data and computing, we can gather the best products with confidence
Historical data is one of the most important pieces of information when analyzing a product. Why do other softwares completely skip this? We understand the importance and spend triple the resources to get that data into your hands. Our algorithm analyzes thousands of datapoints to find profitable products that will continue to do well, not just today.
Other softwares gather data for today. If a product was profitable today but lost money for the last 90 days, it probably isn’t a good product to buy. The opposite is true as well. If a product is bad today but has been profitable for 90 days, it probably is worth buying. Other softwares don’t tell you this. The data they gather can be pointless without context. Fusion Analyzer brings that clarity and save hundreds of hours of labor.
Are you still learning? Check out List and Ship, our simplified software perfect for online arbitrage and retail arbitrage seller.
Without historical data, you can only make decisions based on a single point in time, the moment the sheet was scanned. There are too many what ifs with a single datapoint at a single time and date.
Our algorithm computes and analyzes millions of datapoints with the average wholesale sheet to eliminate bad purchases and find you the good ones so you don’t waste hours looking over bad products.
We polled ~100 virtual assistants and found the average VA will analyze about 500 products per day. The average vendor spreadsheet with 10,000 products will save about 200 hours of labor! 25 days of manual work!
Our algorithm grades each and every product it analyzes. This grade is how well we feel the product will adhere to YOUR purchasing criteria and STAY that way. Again, with historaical data, we can make much better predictions and build a confidence score.
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