Computer technology for automated pricing guidance

A non-transitory computer-readable device having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations for automatic, intelligent generation of an offer price for a for sale object (FSO) being offered by a seller, the operations comprising:

• receiving information relating to the FSO, including specifications for selling the FSO, wherein the specifications include an original offer price and a time window for selling the FSO;
• determining a category of the FSO;
• identifying one or more seller reduction points identifying a percentage indication by which the seller is willing to reduce a new offer price and a time at when to reduce the new offer price based on the percentage;
• determining that there are not enough of the one or more seller reduction points available from past sales data for generating a seller flexibility curve;
• receiving input from the seller corresponding to the seller flexibility curve responsive to the determining that there are not enough of the one or more seller reduction points for generating the seller flexibility curve;
• generating an optimal offer price and price range for the FSO based on (a) inputting parameters associated with the FSO into a neural network regression model, training the model with past listings of previously sold FSOs that have a same or similar category of the FSO;
• (b) the specifications, including the time window;
• (c) a category decay curve applicable to the category;
• and (d) the input from the seller corresponding to the seller flexibility curve of the seller;
• providing the optimal offer price for display on an interface for a listing corresponding to the FSO, wherein the interface includes a slider adjustable by the seller by which the seller can adjust seller preferences on maximizing time and maximizing profit;
• receiving an adjustment to the slider via the interface, the adjustment corresponding to a change in the seller preferences between maximizing time and maximizing profit;
• calculating a new offer price within the price range based on the adjustment to the slider;
• and
• adjusting the display on the interface to reflect the new offer price corresponding to the adjustment to the slider.

A system for automatic, intelligent generation of an offer price for a for sale object (FSO) being offered by a seller, comprising:

• a memory;
• and
• at least one processor coupled to the memory and configured to perform operations, the operations comprising:
• receiving information relating to the FSO, including specifications for selling the FSO, wherein the specifications include an original offer price and a time window for selling the FSO;
• determining a category of the FSO;
• identifying one or more seller reduction points identifying a percentage indication by which the seller is willing to reduce a new offer price and a time at when to reduce the new offer price based on the percentage;
• determining that there are not enough of the one or more seller reduction points available from past sales data for generating a seller flexibility curve;
• receiving input from the seller corresponding to the seller flexibility curve responsive to the determining that there are not enough of the one or more seller reduction points for generating the seller flexibility curve;
• generating an optimal offer price and price range for the FSO based on (a) inputting parameters associated with the FSO into a neural network regression model, training the model with past listings of previously sold FSOs that have a same or similar category of the FSO;
• (b) the specifications, including the time window;
• (c) a category decay curve applicable to the category;
• and (d) the seller flexibility curve of the seller;
• providing the optimal offer price for display on an interface for a listing corresponding to the FSO, wherein the interface includes a slider adjustable by the seller by which the seller can adjust seller preferences on maximizing time and maximizing profit;
• receiving an adjustment to the slider via the interface, the adjustment corresponding to a change in the seller preferences between maximizing time and maximizing profit;
• calculating a new offer price within the price range based on the adjustment to the slider;
• and
• adjusting the display on the interface to reflect the new offer price corresponding to the adjustment to the slider.