What is Feedvisor?
Feedvisor is an e-commerce startup that specializes in helping third-party sellers on e-commerce platforms such as Amazon set prices to better enhance sellers’ competitiveness. Feedvisor has machine learning capabilities and can automatically adjust and optimize your product prices after comparing millions of data to improve product competitiveness and profitability.
Feedvisor's cloud-based algorithmic repricing and revenue intelligence solutions power millions of pricing decisions every day; providing retailers with actionable insights to maximize profits and drive growth for their business.
Feedvisor features:
The Feedvisor platform uses machine learning technology to track the activity of different markets, and through its dynamic pricing algorithm, sellers can maximize their revenue. At the same time, they can ensure that sellers do not have problems with too much or too little inventory.
1. Amazon repricing
Feedvisor analyzes the seller competition landscape, using artificial intelligence and big data to determine the ideal price based on business goals;
Considers all Buy Box variables and processes millions of data points in real time to maximize the likelihood of winning the Buy Box;
Machine learning algorithms analyze real-time market conditions, seller performance, competition, and seller goals to determine optimal pricing and maximize overall profits;
Feedvisor maps demand for private label products based on historical sales and current market data and finds the exact price that meets the seller’s goals, whether that’s volume, profit or market dominance;
Coordinate pricing decisions across a seller’s portfolio to ensure sellers receive the highest return on their inventory, whether on Amazon, eBay, or other e-commerce stores. The tool tracks sellers’ performance across multiple e-commerce channels and enables smarter decisions at the channel and portfolio level.
2. Optimize profits and increase sellers’ revenue
Feedvisor collects millions of data points to help sellers make smarter pricing and inventory decisions, helping sellers stay competitive and respond to market changes in real time;
Generate replenishment reports to determine what products to replenish, how much, and when;
Help sellers perform historical demand and performance analysis on a product-by-product basis, enabling sellers to make more informed product purchasing decisions.
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