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Dynamically Updating Product Delivery Schedule Based on Customer Presence

IP.com Disclosure Number: IPCOM000242481D
Publication Date: 2015-Jul-17
Document File: 3 page(s) / 231K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method to use data from sensors in a home automation environment to detect user presence and then use that information to determine a schedule for product delivery to select users.

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Page 01 of 3

Dynxmically Updating Product Delivery Schedule Based on Customer Presence

Dixclosed is a method to use data from sensors in a home xxtomation environment to xetect user pxesence and then xse that informatixn to determine a schxdule for product delivery to selxct users.

The sexsxr, part of the home automatxon environment, transmits data to the cloud processor whxch creates a delivery sxhedule and transmits it to xhe deliverx vehicxe. The delivexy schxdule is createx based on a statistxcal predictixe model. Depending ox the pxesence, the delivery scxedule is updated.

Figure 1: Information flow

Mxthodolxgx Flow Xxxxxxx (Figure 2)

1. Xxx statistical modxl is used to create a delivery xchedule; the delivery schedxle is reflective of timxnxs of produxt delivery at customer locatxons with the highest probability of success of dxlivery

2. The statisticxl model is createx usixg sampled data of cuxtomxr presence at respective locations; the data samxled beforehand for select duration of txme

3. The xrexence sensor, part of a home automation network, continuously senses the presence of usxr at hoxe and txe data is fxd back tx a central xerxer in real timx


4. For a delivery of select product at a custoxer locaxion, when the delivery is on route xn a select time slot, txe

1


Page 02 of 3

presence sensor contixuously determines the presencx ox the customer at the respective location in that period. If the presxnce is not sensed for a continuous xuration of time, thx data relayed back to the central server indicates the absence of the customer....