Decentralized computing networks, architectures and techniques for processing events across multiple channels

A system for processing data across multiple channels, comprising:

• a decentralized computing network comprising one or more processing devices and one or more non-transitory computer storage devices storing computing instructions configured to be executed on the one or more processors and cause the one or more processors to process data for a plurality of nodes wherein:
• the plurality of nodes included in the decentralized computing network are arranged in a geographical hierarchy that defines parent-child relationships based on geographic associations;
• each node in the decentralized computing network is dedicated to a separate channel corresponding to a geographic region;
• each node in the decentralized computing network receives channel events corresponding to the channel associated with the node;
• each node in the decentralized computing network is configured to generate channel analysis data based, at least in part, on an analysis of the channel events corresponding to the channel associated with the node;
• based on the channel analysis data, each node in the decentralized computing network is configured to determine whether a demand surge is occurring in the channel associated with the node;
• and
• in response to detecting the demand surge, a demand adjustment function is executed to adjust the price of one or more inventory items based, at least in part, on a demand for the one or more inventory items in the channel associated with the node or adjust allocations of the one or more inventory items based, at least in part, on the demand for the one or more inventory items.

A computerized method for processing data across multiple channels, comprising:

• providing a decentralized computing network comprising a plurality of nodes;
• associating each node of the decentralized computing network with a separate channel corresponding to a geographic region;
• configuring each node of the decentralized computing network to receive and analyze channel events for the channel associated with the node;
• generating, by each node of the decentralized computing network, channel analysis data corresponding to the channel associated with the node, wherein the channel analysis data for the channel is generated based, at least in part, on an analysis of the channel events corresponding to the channel associated with the node, and the channel analysis data generated by each node comprises:
• population metrics predicting or indicating population fluctuations in the channel associated with the node;
• movement tracking metrics predicting or indicating movements of individuals within the channel associated with the node;
• and
• demand metrics predicting or indicating a demand for one or more inventory items in the channel associated with the node;
• detecting, by at least one of the plurality of nodes, a demand surge in one or more channels based on the channel analysis data;
• and
• in response to detecting the demand surge, executing a demand adjustment function that adjusts the price of one or more inventory items based, at least in part, on the demand for the one or more inventory items in the one or more channels or adjust allocations of the one or more inventory items based, at least in part, on the demand for the one or more inventory items in the one or more channels.

A system for processing data across multiple channels, comprising:

• a decentralized computing network comprising one or more processing devices and one or more non-transitory computer storage devices storing computing instructions configured to be executed on the one or more processors and cause the one or more processors to process data for a plurality of nodes wherein:
• each node in the decentralized computing network is dedicated to a separate channel corresponding to a geographic region;
• each node in the decentralized computing network receives channel events corresponding to the channel associated with the node;
• each node in the decentralized computing network is configured to generate channel analysis data based, at least in part, on an analysis of the channel events corresponding to the channel associated with the node, and the channel analysis data generated by each node comprises:
• population metrics predicting or indicating population fluctuations in the channel associated with the node;
• movement tracking metrics predicting or indicating movements of individuals within the channel associated with the node;
• and
• demand metrics predicting or indicating a demand for one or more inventory items in the channel associated with the node;
• based on the channel analysis data, each node in the decentralized computing network is configured to determine whether a demand surge is occurring in the channel associated with the node;
• and
• in response to detecting the demand surge, a demand adjustment function is executed to adjust the price of one or more inventory items based, at least in part, on the demand for the one or more inventory items in the channel associated with the node or adjust allocations of the one or more inventory items based, at least in part, on the demand for the one or more inventory items.