# US 2020/0401994 A1 · Packing and shipment sharing through trusted network

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 2020/0401994 A1
- Document ID: US20200401994A1
- Status: Published application
- Kind: A1
- Application number: 16/448,325
- Filed: 2019-06-21
- Published: 2020-12-24
- Earliest claimed: 2019-06-21
- Assignees: International Business Machines Corporation
- Applicants: International Business Machines Corporation
- Inventors: Uri Kartoun; Yoonyoung Park; Vibha Anand; Fang Lu
- Web page: https://patentgrep.com/patent/US20200401994A1

## CPC

- G06Q 10/0832: Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
- G06F 16/9035: Filtering based on additional data, e.g. user or group profiles
- G06F 16/909: using geographical or spatial information, e.g. location (spatiotemporally dependent retrieval from the web G06F16/9537)
- G06Q 10/08355: {Routing methods}
- G06Q 30/0222: {During e-commerce, i.e. online transactions}
- G06Q 30/0635: {replenishment orders; recurring orders}
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

A shipment sharing method, system, and computer program product include collecting a shopping order history, neighborhood information and friends' information from user data, analyzing a current order by a user from a shopping service, checking whether a neighbor identified from the neighborhood information and the friend information purchased an item from the shopping service based on the shopping order history, and suggesting to the user to share a packing and shipment cost with the neighbor by combining the purchased one or more items by the neighbor and the current order by the user in a single package.

## Claims

### Claim 1

A computer-implemented shipment sharing method, the method comprising:
collecting a shopping order history, neighborhood information and friend information from user data;
analyzing a current order by a user from a shopping service;
checking whether a neighbor identified from the neighborhood information and the friend information purchased an item from the shopping service based on the shopping order history; and
suggesting to the user to share a packing and shipment cost with the neighbor by combining the purchased item by the neighbor and the current order by the user in a single package.

### Claim 2 (depends on 1)

The method of claim 1, further comprising analyzing the purchased item from the neighbor and the current order by the user to determine an optimal combination of the purchased item and the current order into the single package.

### Claim 3 (depends on 1)

The method of claim 1, further comprising sharing the packing and shipment cost between the user and the neighbor based on the user accepting the suggestion.

### Claim 4 (depends on 1)

The method of claim 1, wherein a dimension, a quantity, and a characteristic of the purchased item and the current order are analyzed to determine an optimal packaging to combine orders into the single package.

### Claim 5 (depends on 4)

The method of claim 4, wherein the packing and shipment cost is split between the user and the neighbor according to the dimension, the quantity and the characteristic of the purchased item and the current order.

### Claim 6 (depends on 1)

The method of claim 1, further comprising creating a shipment plan for items in a subscription based on the neighbor and the user being subscribed to a subscription service.

### Claim 7 (depends on 1)

The method of claim 1, embodied in a cloud-computing environment.

### Claim 8

A computer program product for shipment sharing, the computer program product comprising a computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform:
collecting a shopping order history, neighborhood information and friend information from user data;
analyzing a current order by a user from a shopping service;
checking whether a neighbor identified from the neighborhood information and the friend information purchased an item from the shopping service based on the shopping order history; and
suggesting to the user to share a packing and shipment cost with the neighbor by combining the purchased item by the neighbor and the current order by the user in a single package.

### Claim 9 (depends on 8)

The computer program product of claim 8, further comprising analyzing the purchased item from the neighbor and the current order by the user to determine an optimal combination of the purchased item and the current order into the single package.

### Claim 10 (depends on 8)

The computer program product of claim 8, further comprising sharing the packing and shipment cost between the user and the neighbor based on the user accepting the suggestion.

### Claim 11 (depends on 8)

The computer program product of claim 8, wherein a dimension, a quantity, and a characteristic of the purchased item and the current order are analyzed to determine an optimal packaging to combine orders into the single package.

### Claim 12 (depends on 11)

The computer program product of claim 11, wherein the packing and shipment cost is split between the user and the neighbor according to the dimension, the quantity and the characteristic of the purchased item and the current order.

### Claim 13 (depends on 8)

The computer program product of claim 8, further comprising creating a shipment plan for items in a subscription based on the neighbor and the user being subscribed to a subscription service.

### Claim 14

A shipment sharing system, the system comprising:
a processor, and
a memory, the memory storing instructions to cause the processor to perform;
collecting a shopping order history, neighborhood information and friend information from user data;
analyzing a current order by a user from a shopping service;
checking whether a neighbor identified from the neighborhood information and the friend information purchased an item from the shopping service based on the shopping order history; and
suggesting to the user to share a packing and shipment cost with the neighbor by combining the purchased item by the neighbor and the current order by the user in a single package.

### Claim 15 (depends on 14)

The system of claim 14, further comprising analyzing the purchased item from the neighbor and the current order by the user to determine an optimal combination of the purchased item and the current order into the single package.

### Claim 16 (depends on 14)

The system of claim 14, further comprising sharing the packing and shipment cost between the user and the neighbor based on the user accepting the suggestion.

### Claim 17 (depends on 14)

The system of claim 14, wherein a dimension, a quantity, and a characteristic of the purchased item and the current order are analyzed to determine an optimal packaging to combine orders into the single package.

### Claim 18 (depends on 17)

The system of claim 17, wherein the packing and shipment cost is split between the user and the neighbor according to the dimension, the quantity and the characteristic of the purchased item and the current order.

### Claim 19 (depends on 14)

The system of claim 14, further comprising creating a shipment plan for items in a subscription based on the neighbor and the user being subscribed to a subscription service.

### Claim 20 (depends on 14)

The system of claim 14, embodied in a cloud-computing environment.
