Abstract: A method including obtaining real-time observed orders per minute (OPM) data. The method also can include training a prediction model to make a real-time OPM prediction for a current time period, based on the real-time observed OPM data over past time steps based on lagged time steps in a moving average. The method additionally can include determining, in real-time, whether a demand surge exists based on the real-time observed OPM data and the real-time OPM prediction, to generate a first surge modifier. The method further can include when the demand surge exists, generating, in real-time, a sub-hour revenue per click (RPC) prediction for a first sub-hour time interval. The method additionally can include determining, in real-time, the first surge modifier for the first sub-hour time interval. The method further can include uploading, in real-time, the first surge modifier to a dayparting system of a search engine to bypass existing time intervals and modifiers. Other embodiments are described.

Abstract: A method including obtaining historical revenue per click (RPC) data. The method also can include generating hourly RPC prediction data for a predetermined time period based on the historical RPC data. The method additionally can include determining (i) time intervals from within the predetermined time period and (ii) a respective modifier for each of the time intervals, based on the hourly RPC prediction data. The acts method can include uploading the time intervals and the respective modifiers for the time intervals to a dayparting system of a search engine. Other embodiments are described.

Abstract: A method including obtaining historical revenue per click (RPC) data. The method also can include generating hourly RPC prediction data for a predetermined time period based on the historical RPC data. The method additionally can include determining (i) time intervals from within the predetermined time period and (ii) a respective modifier for each of the time intervals, based on the hourly RPC prediction data. The acts method can include uploading the time intervals and the respective modifiers for the time intervals to a dayparting system of a search engine. Other embodiments are described.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving one or more objectives and one or more constraints from a user electronic device of a user; generating a combined objective using the one or more objectives; calculating, using the combined objective, a return per click for an advertisement campaign; determining one or more bids based on (a) the return per click for the advertisement campaign and (b) a return on advertising spend for the advertisement campaign; estimating, using a first predictive algorithm and the one or more bids, an average cost per click; estimating an expected number of clicks for the advertisement campaign based on the average cost per click; determining a total amount used of the one or more constraints for the one or more bids based on the expected number of clicks for the advertisement campaign; and when the total amount used of the on

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving one or more objectives and one or more constraints from a user electronic device of a user; generating a combined objective using the one or more objectives; calculating, using the combined objective, a return per click for an advertisement campaign; determining one or more bids based on (a) the return per click for the advertisement campaign and (b) a return on advertising spend for the advertisement campaign; estimating, using a first predictive algorithm and the one or more bids, an average cost per click; estimating an expected number of clicks for the advertisement campaign based on the average cost per click; determining a total amount used of the one or more constraints for the one or more bids based on the expected number of clicks for the advertisement campaign; and when the total amount used of the on

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: tracking touchpoints by a user over a first time period; after receiving an order, determining, using a machine-learning model, a respective contribution of each of the touchpoints, wherein the machine-learning model is trained to predict a probability of the user placing the order during a second time period based on an input feature vector representing a set of touchpoints; and allocating a respective percentage of credit for the order to the each of the touchpoints based on the respective contributions of the each of the touchpoints. Other embodiments are disclosed.

Abstract: A method including receiving a total budget amount for a predetermined time period. The method also can include determining a respective spend amount for the predetermined time period for each respective node of nodes of a layered allocation tree based a marginal return on advertisement spend (MROAS) value and a respective performance curve for the each respective node. The method additionally can include determining a total spend amount based on the respective spend amounts of the nodes of the layered allocation tree. The method further can include, when the total spend amount is not within a threshold value of the total budget amount, iteratively adjusting the MROAS value to re-determine the respective spend amounts for the nodes and re-determine the total spend amount, based on the MROAS value, as adjusted, until the total spend amount is within the threshold value.

Abstract: A method for manufacturing a magnetic coil in a wireless charging system is disclosed. The coil may comprise a wire with a rectangular cross section. The method may include feeding a wire into a routing device which includes three winding wheels; routing the wire into a magnetic coil by changing positions of the winding wheels; and assembling the magnetic coil by pressing and attaching the magnetic coil to a coil holder.

Abstract: A method including providing a graphical user interface including input fields and output fields. The method also can include receiving a total allocation amount for a predetermined time period in an allocation amount input field of the input fields of the graphical user interface, and receiving a performance objective in a performance objective input field of the input fields of the graphical user interface. The method further can include automatically generating an allocation of the total allocation amount among combinations selected from multiple advertisement types and multiple search engines based at least in part on the total allocation amount and the performance objective according to allocation balancing rules, and automatically generating one or more performance forecasts based on the allocation and automatically generating a daily allocation forecast across the predetermined time period based on the allocation.

Abstract: A method for manufacturing a magnetic coil in a wireless charging system is disclosed. The coil may comprise a wire with a rectangular cross section. The method may include feeding a wire into a routing device which includes three winding wheels; routing the wire into a magnetic coil by changing positions of the winding wheels; and assembling the magnetic coil by pressing and attaching the magnetic coil to a coil holder.

Abstract: Hot-plug actions are enabled in an M-host, N-card system architecture. An arbiter receives status signals from the N hot-pluggable cards, and transfers the status signals to at least some of the M host devices. In response to the status signals indicating a hot-plug action, the arbiter receives at least one host command. The arbiter transfers the host command to one or more of the N hot-pluggable cards according to an arbiter algorithm.

Abstract: Hot-plug actions are enabled in an M-host, N-card system architecture. An arbiter receives status signals from the N hot-pluggable cards, and transfers the status signals to at least some of the M host devices. In response to the status signals indicating a hot-plug action, the arbiter receives at least one host command. The arbiter transfers the host command to one or more of the N hot-pluggable cards according to an arbiter algorithm.