Granted Patent B2

US 12,554,781 · App. 17/570,271 · Granted Feb 17, 2026

Inventors: Xiangnong Wang (New York, NY); Yifei Huang (New York, NY); Michael Yang (New York, NY); Francis Chen (Sunnyvale, CA); Andy Chen (New York, NY); Andre Frederico Cavalheiro Menck (New York, NY); Christopher Yu (Culver City, CA); Grace Garde (South Orange, NJ); Mark Cinali (New York, NY); James Winchester (New York, NY); Peter Wang (Seattle, WA); Nitish Kulkarni (Fremont, CA)

Assignee: Palantir Technologies Inc.

G06F16/951G06F16/9577G06Q30/0242G06Q30/0244G06Q30/0247

Abstract

Claims (34)

1 . A computer-implemented method performed by a computing device comprising one or more hardware computer processors, the method comprising:

retrieving, by an item aggregation engine of an item packaging system through a network, one or more data items from a user data store, wherein the user data store comprises a database of available inventory;

retrieving, by the item aggregation engine through the network, one or more data items from an entity data store, wherein the entity data store comprises a database storing historical data item packages associated with one or more entities;

receiving, by the item aggregation engine through the network, a first constraint, a second constraint, and a third constraint from a user device associated with a user;

parsing, by the item aggregation engine, the received constraints to determine that the first constraint is less flexible than the second constraint;

identifying, by the item aggregation engine, a first data unit from a plurality of data units that satisfies the first constraint;

identifying, by the item aggregation engine, a first set of data units from the plurality of data units that satisfies the second constraint and is within a tolerance level associated with the second constraint or exceeds a minimum requirement of the second constraint;

identifying, by the item aggregation engine, a second set of data units from the first set of data units that matches the third constraint or exceeds a minimum requirement of the third constraint;

determining, by the item aggregation engine, one or more alternate data item packages in parallel based on different tolerance levels distinct from the tolerance level associated with the second constraint;

transmitting, by a recommendation engine of the item packaging system, instructions to a user device to display, in a first window of a user interface, a graphical summary of a data item package; and

displaying, in a second window that overlaps the first window, a recommendation for changing the tolerance level of the second constraint to a different tolerance level associated with one of the alternate data item packages, wherein the recommended change increases a value of the data item package.

2 . The computer-implemented method of claim 1 , wherein the value of the data item package is based on a cost of one or more data items included in the data item package.

3 . The computer-implemented method of claim 1 , wherein adding, to the data item package, the first data unit further comprises generating the data item package that includes the first data unit.

4 . The computer-implemented method of claim 1 , wherein the first constraint is based on another constraint in a historical data item package.

5 . The computer-implemented method of claim 1 , wherein the first data unit is one of an advertisement spot, a network-based advertisement, a billboard, a cover of a video game, an announcement during a sporting event, a consumer product, or an insurance plan.

6 . A computing system comprising:

a hardware computer processor; and

a non-transitory computer readable medium having executable software instructions stored thereon, wherein the executable instructions are configured to implement:

an item aggregation engine configured to:

retrieve, through a network, one or more data items from a user data store, wherein the user data store comprises a database of available inventory;

retrieve, through the network, one or more data items from an entity data store, wherein the entity data store comprises a database storing historical data item packages associated with one or more entities;

receive, through the network, a first constraint, a second constraint, and a third constraint from a user device associated with a user;

parse the received constraints to determine that the first constraint is less flexible than the second constraint;

identify a first data unit from a plurality of data units that satisfies the first constraint;

identify a first set of data units from the plurality of data units that satisfies the second constraint and is within a tolerance level associated with the second constraint or exceeds a minimum requirement of the second constraint;

identify a second set of data units from the first set of data units that matches the third constraint or exceeds a minimum requirement of the third constraint; and

determine one or more alternate data item packages in parallel based on different tolerance levels distinct from the tolerance level associated with the second constraint; and

a recommendation engine configured to:

transmit instructions to a user device to display, in a first window of a user interface, a graphical summary of a data item package; and

display, in a second window that overlaps the first window, a recommendation for changing the tolerance level of the second constraint to a different tolerance level associated with one of the alternate data item packages, wherein the recommended change increases a value of the data item package.

7 . The computing system of claim 6 , wherein the value of the data item package is based on a cost of one or more data items included in the data item package.

8 . The computing system of claim 6 , wherein adding, to the data item package, the first data unit further comprises generating the data item package that includes the first data unit.

9 . The computing system of claim 6 , wherein the first constraint is based on another constraint in a historical data item package.

10 . The computing system of claim 6 , wherein the first data unit is one of an advertisement spot, a network-based advertisement, a billboard, a cover of a video game, an announcement during a sporting event, a consumer product, or an insurance plan.

Assignments (1)

Continuity (3)

References Cited (315)