Pricing Operation Using Artificial Intelligence for Dynamic Price Adjustment

A system comprising:

• one or more processors;
• a memory to store data;
• and
• a pricing service to server a plurality of clients, the pricing service including a price function and a dynamic price adjustment function, wherein the pricing service is to:
• receive a request for pricing of a plurality of sales items in a sales transaction, the plurality of sales items including a first sales item;
• generate a price for the first sales item;
• and
• determine whether the dynamic price adjustment function is enabled for the first sales item, and, if so, perform the dynamic adjustment price function for the first sales item, including:
• access a trained neural network, wherein the neural network is trained for price adjustments based at least in part on training data including news data from one or more sources and data regarding pricing,
• receive a dynamic price adjustment for the first sales item from the trained neural network, and
• apply the dynamic price adjustment to the generated price to produce an adjusted price for the first sales item.

A method comprising:

• receiving a request at a pricing platform for pricing of a plurality of sales items in a sales transaction;
• generating a price for each sales item of the plurality of sales items;
• and
• determining whether a dynamic price adjustment function is enabled for each sales item, and, if so, performing the dynamic adjustment price function for the sales item, including:
• accessing a trained neural network, wherein the neural network is trained for price adjustments based at least in part on training data including news data from one or more sources and data regarding pricing,
• receiving a dynamic price adjustment for the sales item from the trained neural network, and
• applying the dynamic price adjustment to the generated price to produce an adjusted price for the sales item.