Amazon Technologies, Inc.

Michael Mahesh Bhaskaran

Lin Wan

Girish S Lakshman

Piyush Gupta

Richa Agarwal

Jin Lai

Thomas Yves Paul Helleboid

Simon M Patrick

Shyam Mishra

Eric T Ferguson

Pradeep Desai

Jingqiao Zhang

Karthik Balasubramanian

Marc A Onetto

Girish Lakshman

A pickup location that includes a control station and one or more storage compartment modules provides the ability for items to be ordered and delivered for pickup by a user without having to pack those items in a shipping package prior to shipping from a materials handling facility. Delivering items for pickup by a user without having to package the items prior to shipping, may provide a better experience for the customer, reduce waste in packaging material and a lower cost of delivering the ordered items to the customer.

Pickup location monitoring

Pre-order delivery of items to a pickup location

Pickup locations

Modular station pickup locations

Embodiments may include a forecasting component that, for each of different service levels offered to customers, generates a projection of the quantity of shipments to be shipped according to that service level during a time period. The forecasting component may be configured to, based on an aggregate quantity of shipments projected to be shipped, modify the projected quantities of shipments for the multiple service levels. The forecasting component may, for each service level, receive information specifying a distribution of different shipment methods that are projected to be utilized to ship shipments of a particular priority designation to meet requirements of that service level. The forecasting component may, based on the distribution for each service level and the modified projected quantity of shipments for each service level, generate a forecast specifying quantities of shipments that are to be shipped during the time period according to each of the different shipment methods.

System and method for generating shipment forecasts for materials handling facilities

Embodiments may include a forecasting component that, for each of different service levels offered to customers, generates a projection of the quantity of shipments to be shipped according to that service level during a time period. Based on an aggregate quantity of shipments projected to be shipped, projected quantities of shipments for the multiple service levels may be modified. The forecasting component may, for each service level, receive information specifying a distribution of different shipment methods that are projected to be utilized to ship shipments of a particular priority designation to meet requirements of that service level. Based on the distribution for each service level and the modified projected quantity of shipments for each service level, a forecast specifying quantities of shipments that are to be shipped during the time period according to each of the different shipment methods may be generated.

Various embodiments of a system and method for constraint-based reduction of a solution space for vehicle routing are described. Embodiments may include a system configured to identify sets of redundant routes within a solution space. For each given set of redundant routes, the system may utilize one or more constraints associated with conveying shipments on routes of the given set in order to eliminate one or more routes of that set from consideration. For each of multiple routes of the given set that have not been eliminated from consideration, the system may determine a respective cost associated with utilizing that route. The system may also, in response to determining that the cost associated with a particular route that has not been eliminated from consideration is less than the cost associated with other routes that have not been eliminated from consideration, add the particular route to a reduced solution space.

System and method for constraint-based reduction of a solution space for vehicle routing

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Bellevue, WA, United States of America

Michael Mahesh Bhaskaran