A method including: detecting a request for a first part of a video; detecting a request for a second part of the video, wherein the video has a video timeline and the second part of the video immediately follows the first part of the video in the video timeline; after detecting the request for the first part of the video and prior to detecting the request for the second part of the video, transmitting a request for a third part of the video, wherein the third part of the video follows the second part of the video in the video timeline; receiving the requested third part of the video; and storing the received third part of the video.

According to some aspects, disclosed methods and systems may include storing, in a local storage of a device, a plurality of advertisements; and outputting for display first content comprising a first portion of a first set of advertisements associated with a first campaign period. The disclosed methods and system may also include, in response to an expiration of the first campaign period, outputting for display second content comprising a second portion of the first set of advertisements based on a first set of one or more advertising rules.

An advertisement request allocation platform includes: a monitoring module comprising an offer rate builder, the offer rate builder configured to periodically determine a utilization rate using a plurality of candidate time windows, wherein the utilization rate for a combination of a group of advertisement requests and a demand-side platform (DSP) comprises a rate at which the DSP utilizes the group, the offer rate builder further configured to periodically determine for the combination a measure of variability of the utilization rate; and an offer module operably connected to the DSP; and an offer module configured to offer an advertisement request to the DSP, wherein the offer module is further configured to adapt a rate at which advertisement request is offered to the DSP based on the utilization rate for the DSP.

Computer implemented methods and systems for controlling sending of messages to retailers utilizing a B2B marketplace platform are described herein. Machine learning is used to train a communications timing model and a retailer interest model based on past messages sent to and received by each retailer of a plurality of retailers. The trained communications timing model is used to determine, for each retailer, a preferred timing for the retailer receiving messages from the B2B marketplace. The trained retailer interest model is used to determine, for each retailer, a respective level of interest for each of a plurality of different message types that may be sent to the retailer by the B2B marketplace. A decision engine schedules and controls sending of the messages to each retailer based on outputs of the communications timing model and the retailer interest model.

An autonomous vehicle including a network of one or more sensors positioned on a body of the autonomous vehicle, one or more display devices mounted on one or more exterior sides of the autonomous vehicle, at least one processor, and at least one memory storing instructions is disclosed. The instructions, when executed by the at least one processor, configure the at least one processor to: (i) receive sensor data from the network of one or more sensors; (ii) generate, from the sensor data, metadata associated with a motor vehicle in proximity of the autonomous vehicle; (iii) determine, based at least in part on the metadata, media content for displaying to a user of the motor vehicle; and (iv) initiate display of the media content on the one or more display devices mounted on the one or more exterior sides of the autonomous vehicle.

A method by which the position of a display panel or of a vehicle can be determined by broadcasting a message from a beacon associated with the display panel or the vehicle, receiving the broadcast message at a consumer device, determining the position of the consumer device when the message is received, and taking that position to be the position of the display panel or of the vehicle. If this is done with multiple messages and/or multiple consumer devices the position of the display panel or of the vehicle can be determined as a function of time.

A computer-implemented system and method that enables mobile vendors of goods and/or services to advertise the future location regarding availability of their goods and/or services to consumers, in an effort to generate and/or increase sales of their products and/or services. The present invention finds particular application with respect to mobile vendors such as owners of food vans, pop-up food stores and market stall holders and enables such owners to alert customers regarding their proposed presence at specific geographic locations at particular dates and times.

This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.

According to some aspects, disclosed methods and systems may include storing, in a local storage of a device, a plurality of advertisements; and outputting for display first content comprising a first portion of a first set of advertisements associated with a first campaign period. The disclosed methods and system may also include, in response to an expiration of the first campaign period, outputting for display second content comprising a second portion of the first set of advertisements based on a first set of one or more advertising rules.

Described herein are systems and methods for automated provision of auxiliary medication and/or complementary food during prescription processing. A medication provision computing device is configured to process a prescription for a first medication, the prescription including an identifier of the first medication, and to detect the identifier of the first medication in a stored list of flagged medications. The computing device is further configured to generate, in response to the detecting, provision complementary food provision instructions, the complementary food provision instructions causing a pharmacy computing device to display the complementary food provision instructions for provision of a complementary food to a patient along with the first medication.