Use optimization science and advanced analytics to dynamically set the right prices for the right product in the right channel.
Configure pricing scenarios with rules, such as line pricing or competitive rules, selected from a comprehensive rules library.
Use what-if analysis to determine how a new pricing scenario will affect key metrics such as sales, margin and volume.
Prescriptively recommend prices for clearance items based on price elasticity and available inventory.
Use consumer-demand science and pricing analytics to optimize offers and product placement.