Patent ID: 11875370
Assignee: REPLENIUM INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A computer implemented method, comprising:
receiving consumer data from at least one retailer e-commerce platform for a regular time interval;
receiving consumer data from at least one manufacturer e-commerce platform for a regular time interval;
receiving consumer data from at least one 3rd party e-commerce platform for a regular time interval;
comparing the consumer data received from the at least one retailer e-commerce platform to additional consumer data previously received from the at least one retailer e-commerce platform;
comparing the consumer data received from the at least one manufacturer e-commerce platform to additional consumer data previously received from the at least one manufacturer e-commerce platform;
comparing the consumer data received from the at least one 3rd party e-commerce platform to additional consumer data previously received from the at least one 3rd party e-commerce platform;
based on comparing the consumer data received from the at least one retailer e-commerce platform to the additional consumer data previously received from the at least one retailer e-commerce platform, determining that the consumer data received from the at least one retailer e-commerce platform does not match the additional consumer data previously received from the at least one retailer e-commerce platform;
based on comparing the consumer data received from the at least one manufacturer e-commerce platform to the additional consumer data previously received from the at least one manufacturer e-commerce platform, determining that the consumer data received from the at least one manufacturer e-commerce platform does not match the additional consumer data previously received from the at least one manufacturer e-commerce platform;
based on comparing the consumer data received from the at least one 3rd party e-commerce platform to the additional consumer data previously received from the at least one 3rd party e-commerce platform, determining that the consumer data received from the at least one 3rd party e-commerce platform does not match the additional consumer data previously received from the at least one 3rd party e-commerce platform;
based on determining (i) that the consumer data received from the at least one retailer e-commerce platform does not match the additional consumer data previously received from the at least one retailer e-commerce platform, (ii) that the consumer data received from the at least one manufacturer e-commerce platform does not match the additional consumer data previously received from the at least one manufacturer e-commerce platform, and (iii) that the consumer data received from the at least one 3rd party e-commerce platform does not match the additional consumer data previously received from the at least one 3rd party e-commerce platform, aggregating the consumer data, mining the consumer data, clustering the consumer data and generating a consumer model at regular time intervals to determine both consumer demand for a product and factors that influence a consumer's perception of convenience or ease in purchasing the product;
aggregating shipments of a consumer's ordered products that have disparate shipping intervals for delivery or pickup as preferred by the consumer's fulfillment option or as required by a product's replenishment interval;
sending the consumer model to at least one retailer e-commerce platform for the integration of a retailer e-commerce platform and an auto-replenishment platform;
sending the consumer model to at least one manufacturer e-commerce platform for the integration of a manufacturer e-commerce platform and the auto-replenishment platform;
sending the consumer model to at least one 3rd party e-commerce platform for the integration of a 3rd party e-commerce platform and the auto-replenishment platform; and
sending the consumer model to any other party.