Rich multivariate data set
Feedvisor's decision-making matrix employs a rich diversity of data types, including: supply, demand, price elasticity, inventory fluctuation, growth rates, and the competitive landscape.
This complex data set allows for optimized decision-making, with any number of variables.
Self-learning algorithms
Feedvisor's Algo-Commerce engine has the unique ability to "learn" independently without any human input or rules.
It constantly re-evaluates itself and the market, gaining experience with every decision it makes.
Pragmatic decision engine
Feedvisor's decision-making engine responds instantaneously to changing variables, both internal and external to the business.
As the market changes, Feedvisor's algorithms change with it, adjusting to real-time conditions.
No rules = No biases
Feedvisor's algorithms make objective decisions untainted by human bias, allowing for a completely unprejudiced assessment of the market landscape.
As an online retailer, you can be certain that Feedvisor's algorithms are always making the best decisions for you.
How Algo-Commerce works
“Proprietary algorithms that solve specific problems that translate into actions will be the secret sauce of successful organizations in the future.”
