Walmart Apollo, LLC

Sindiri Sai Kumar

Sandip Mahanta

Shantanu Preetam

Rishi Saraf

Sony Mangalassery Gregory

Tanvi Gupta

Vimal Mohan Kothanath

Yuvaraj MukariKrishnamoorthy

Yatin Gupta

Nyshadam Nagamallika

Ravikumar Batchu

Puneet Kala

Manful Ram

Examples provide catchment modeling for identifying destination locations eligible for last mile delivery from source locations, such as a store or fulfillment center. The catchment modeling system divides a catchment area associated with the source location into a plurality of geohash blocks within a polygon fence. The size of the geohash blocks varies relative to proximity of each geohash block to a fence point within a polygon fence. The plurality of blocks includes a set of inclusion blocks within the predetermined distance from the source location and/or a set of exclusion blocks exceeding the predetermined distance from the source location. Data compression via polygon merging is performed. The compressed data is cached for utilization during catchment delivery eligibility determinations. If a destination address is within the set of inclusion address or absent from the set of exclusion addresses, the destination is eligible for delivery from the source to the destination.

Catchment modeling

A method including determining a zip code of a user using a website that displays items for sale. Determining the zip code of the user can include determining the zip code of the user through at least one of using tracking cookies for the user using the website or geo-sniffing a current session of the user using the website. The method also can include receiving a selection by the user to display information about an item of the items for sale. The method additionally can include determining a shipping speed to display to the user for the item based on (a) a geo-classification for the item, (b) a list of fulfillment nodes that can currently deliver to the zip code of the user within a first shipping speed, and (c) a node-level inventory for the item. The method further can include facilitating a display of the shipping speed to the user. The geo-classification for the item is a first classification at least when a sale margin for the item exceeds a first predetermined margin threshold. The geo-classification for the item is a second classification at least when a size of the item exceeds a predetermined size threshold. Other embodiments are described.

Automatic determination of a shipping speed to display for an item

A method including determining a zip code of a user using a website that displays items. The method also can include receiving a selection by the user to display information about an item of the items. The method additionally can include retrieving first information including a predetermined geo-classification for the item. The method further can include retrieving second information including a list of fulfillment nodes that can currently deliver to the zip code of the user within a first shipping speed via ground shipping. The method additionally can include retrieving third information including a node-level inventory for the item. The method further can include determining a shipping speed to display to the user for the item based on (a) the predetermined geo-classification for the item, (b) the list of fulfillment nodes that can currently deliver to the zip code of the user within the first shipping speed, and (c) the node-level inventory for the item. The method additionally can include facilitating a display of the shipping speed to the user. Other embodiments are disclosed.

Described in detail herein are simulation systems for a production environment and related methods of use. In one exemplary system a routing application receives a request associated with one or more physical objects. Based on the request, the routing application retrieves one or more simulation profiles from a database and forwards the request and the simulation profiles to a first computing system. The first computing system hosts a simulation environment and simultaneously executes a simulation of the request for each simulation profile in the simulation environment. The first computing system generates resultant data in response to executing each simulation that may be used to alter a production application for a production environment.

Simulation system for a production environment and related methods of use

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Bengaluru, India

Sindiri Sai Kumar