Continuous delivery

A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations for selective optimization of delivery routes using a continuous delivery platform, the operations comprising:

• determining a set of routes for delivery of assets within a delivery network based on demand forecast and realized demand for a period, the demand forecast being indicative of prediction of demand for delivery of assets within the period;
• during at least partial execution of the set of routes, receiving real-time data representative of delivery of assets, and updated demand forecast;
• determining, by an optimization controller of the continuous delivery platform, one or more of a time-to-trigger, and a cut-off time at least partially based on the real-time data, and the updated demand forecast, the time-to-trigger defining an interval, at which the set of routes for delivery of assets is to be reoptimized;
• in response to the time-to-trigger being achieved, re-optimizing, by a route optimization module of the continuous delivery platform, the set of routes to provide a revised set of routes;
• and
• conveying at least one route of the revised set of routes to a delivery personnel, the at least one route being different from any route in the set of routes, and being executed during the period.

A system, comprising:

• one or more processors;
• and
• a computer-readable storage device coupled to the one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations for selective optimization of delivery routes using a continuous delivery platform, the operations comprising:
• determining a set of routes for delivery of assets within a delivery network based on demand forecast and realized demand for a period, the demand forecast being indicative of prediction of demand for delivery of assets within the period;
• during at least partial execution of the set of routes, receiving real-time data representative of delivery of assets, and updated demand forecast;
• determining, by an optimization controller of the continuous delivery platform, one or more of a time-to-trigger, and a cut-off time at least partially based on the real-time data, and the updated demand forecast, the time-to-trigger defining an interval, at which the set of routes for delivery of assets is to be reoptimized;
• in response to the time-to-trigger being achieved, re-optimizing, by a route optimization module of the continuous delivery platform, the set of routes to provide a revised set of routes;
• and
• conveying at least one route of the revised set of routes to a delivery personnel, the at least one route being different from any route in the set of routes, and being executed during the period.