Abstract: Information related to a request to generate a new media creative (NMC), which includes new user-specified attributes (NUSAs), is obtained. Historical user-specified attributes (HUSAs) associated with historical creatives (HCs) are obtained from a data structure linking the HUSAs, historical creative parameters (HCPs), and acceptance statuses to the HCs. The HUSAs are associated with HCPs specifying historical content characteristics of the HCs, which are in turn associated with acceptance statuses. Particular HCs having HUSAs that match the NUSAs are selected. Accepted HCs (AHCs) are identified based on acceptance statuses, and HCPs associated with the AHCs are identified. A set of HCPs most frequently associated with the AHCs is selected based on associations among the HUSAs, the HCPs, and the acceptance statuses. A set of new creative parameters (NCPs) specifying new content characteristics of the NMC is selected based on the set of HCPs.

Abstract: A script creation system obtains both current user-specified attributes to be used in generating a new media creative, and historical data including historical user-specified attributes associated with previously generated media creatives. The script creation system generates a set of creative parameters specifying content characteristics of the new media creative based on the user-specified attributes and the historical data. The set of creative parameters are transmitted from the script creation system to a media creative generation system. The script creation system receives the new media creative generated by the media creative generation system, and provides the new media creative to an end user system associated with an end user. The script creation system receives feedback associated with the new media creative, and stores the feedback, the set of creative parameters, and the current user-specified attributes as historical data.

Abstract: An automated planning system obtains media advertising order specifications associated with media placement orders, wherein the media advertising order specifications include flexibility attributes associated with media items referenced in the media placement orders. The planning system generates an orders table including order information associated with individual orders, an inventory table including inventory information associated with individual inventory items, and an association table including association scores indicating levels of association between the individual inventory items and the individual orders, wherein the association scores are based on the flexibility attributes. The media placement orders are booked into a plan lineup based, at least in part, on the association scores.

Abstract: A script creation system obtains both current user-specified attributes to be used in generating a new media creative, and historical data including historical user-specified attributes associated with previously generated media creatives. The script creation system generates a set of creative parameters specifying content characteristics of the new media creative based on the user-specified attributes and the historical data. The set of creative parameters are transmitted from the script creation system to a media creative generation system. The script creation system receives the new media creative generated by the media creative generation system, and provides the new media creative to an end user system associated with an end user. The script creation system receives feedback associated with the new media creative, and stores the feedback, the set of creative parameters, and the current user-specified attributes as historical data.

Abstract: A planning system obtains an order attribute table associating media advertising orders with flexibility attribute values that indicate scheduling flexibility, and generates an inventory table having cells representing station-daypart combinations. The cells of the inventory table are assigned flexibility attribute values corresponding to the flexibility attribute values of orders booked into corresponding station-daypart combinations. The planning system makes a comparison between a first flexibility attribute associated with an un-booked order and a second flexibility attribute associated with a booked order already booked in a particular station-daypart combination, where the comparison shows that the un-booked order has less scheduling flexibility than the booked order. In response to the comparison, an association between the booked order and the particular station-daypart combination is replaced with an association between the un-booked order and the particular station-daypart combination.

Abstract: A planning system obtains an order attribute table associating media advertising orders with flexibility attribute values that indicate scheduling flexibility, and generates an inventory table having cells representing station-daypart combinations. The cells of the inventory table are assigned flexibility attribute values corresponding to the flexibility attribute values of orders booked into corresponding station-daypart combinations. The planning system makes a comparison between a first flexibility attribute associated with an un-booked order and a second flexibility attribute associated with a booked order already booked in a particular station-daypart combination, where the comparison shows that the un-booked order has less scheduling flexibility than the booked order. In response to the comparison, an association between the booked order and the particular station-daypart combination is replaced with an association between the un-booked order and the particular station-daypart combination.

Abstract: A planning system can receive media advertising orders including flexibility attributes indicating whether the orders are flexible with regard to various different circumstances. The planning system can obtain both booked an unbooked inventory from a traffic and billing system, and determine associations or re-associations between the advertising orders and the booked and unbooked inventory based on the flexibility attributes. The planning system can then generate a non-guaranteed order including the associations or re-associations, and transmit the order to media delivery system. The planning system can obtain feedback and/or real time data that can be used to reassess existing associations, and in some cases adjust the flexibility attribute values.

Abstract: A planning system can receive media advertising orders including flexibility attributes indicating whether the orders are flexible with regard to various different circumstances. The planning system can obtain both booked an unbooked inventory from a traffic and billing system, and determine associations or re-associations between the advertising orders and the booked and unbooked inventory based on the flexibility attributes. The planning system can then generate a non-guaranteed order including the associations or re-associations, and transmit the order to media delivery system. The planning system can obtain feedback and/or real time data that can be used to reassess existing associations, and in some cases adjust the flexibility attribute values.