Groupon, Inc.

Maplebear Inc.

Bytedance Inc.

Inkling Systems, Inc.

Opendoor Labs Inc.

Arphie, Inc.

Michael Chen

Robert James Skillington

Mahmudul Arefin Din

Tihomir Tsankov Georgiev

Geoffrey Hubert Woo

Tuomas Artman

Rishi R Arora

Leslie Jean Chicoine

Ajay Pankaj Sampat

Alan Deitch

Joshua Isaac Zloof

Cristian Matias Sepulveda

Jay Walter Robinson

Chen Zhang

Yuan Gao

Chatree Campiranon

Krishna Kumar Selvam

Olof Alexander Mathé

Radhika Anand

Chanpory Rith

Christopher William Hunt

Graham Adeson

Dylan Wang

Youdan Xu

Adrian Mclean

Caleb Grisell

Matthew Donghyun Kim

Joseph Cohen

Andy Perelson

Nicholas Sturm

Chyi-Dean Shu

Rockson Chang

Licheng Yin

Aaron Dou

Tahmid Shahriar

Mouna Cheikhna

Marina Tanasyuk

A computer implemented method includes importing customer data including previously completed requests for proposals, product documentation, sales materials, security policies and competitor documentation. The customer data is analyzed to form categories. The customer data is processed into chunks of characters to form customer data chunks. The customer data chunks are embedded into context strings. Metadata characterizing customer data lineage is formed. The customer data chunks, the context strings and the metadata are stored in a database.

Apparatus and method for automated request for proposal and questionnaire processing using artificial intelligence

The present disclosure is directed to determining shopper-location pairs. In particular, the methods and systems of the present disclosure may identify a set of available shoppers associated with an online shopping concierge platform and located in a geographic area; identify a set of available warehouse locations associated with the online shopping concierge platform and located in the geographic area; and determine, based at least in part on the set of available shoppers, the set of available warehouse locations, and one or more machine learning (ML) models, a set of shopper-location pairs optimized based at least in part on time required by the set of available shoppers to travel from their respective current locations to one or more of the set of available warehouse locations.

Location-based assignment of shopper-location pairs

An online concierge system schedules pickers (shoppers) to fulfill orders from users. During periods of peak demand, the system increases compensation to shoppers to encourage more to participate, thereby reducing missed orders. The system determines an optimal multiplier to increase compensation based on predictive models of supply and demand and then applying an optimization algorithm to search different hyperparameters that affect how the models generate the multipliers. The system selects the optimal multipliers for different time periods and locations. The system may further present the multipliers being offered during future time periods and enable users to activate reminder alerts for select periods. The offers may be presented in a ranked list using a model trained to infer likelihoods of the user accepting participation and/or setting a reminder notification.

User interface for presenting ranked surge pricing opportunities for pickers in an online concierge system

An online concierge system iteratively makes a batch of one or more orders available to an increasing number of shoppers to choose to fulfill. Each shopper may choose to accept or reject a batch for fulfillment. To improve batch acceptance and matching between batches and shoppers, the batches are scored with respect to expected resource costs, likelihood of acceptance by the shopper, and/or other quality metrics to iteratively offer the batch to an increasing number of shoppers (prioritizing the scoring factors) until a shopper accepts. The number of shoppers notified of the batch and the frequency that additional shoppers are selected may vary based on characteristics of the batch and likelihood the batch will be accepted by a shopper.

Iterative order availability for an online fulfillment system

Systems, apparatus, and methods for providing a consumer device presence-based transaction sessions are discussed herein. Some embodiments may provide for an apparatus configured to establish consumer device presence-based transaction sessions. The apparatus and consumer device may wirelessly communicate for a variety interactions within the transaction session. For example, consumers may be allowed to provide one or more instances of consumer approval data for payment. The transaction session may be closed upon receipt of consumer approval data or may be kept open based on wirelessly polling for consumer device presence. Based on the lack of consumer device presence, the apparatus may be configured to close the transaction session and subsequently facilitate a transaction. In various embodiments, the apparatus may be a merchant device or a server. For example, the apparatus may be a server of a central system configured to facilitate transaction sessions between merchant devices and consumer devices.

Consumer device presence-based transaction session

Systems, apparatus, methods, and non-transitory media for programmatically grouping consumers are discussed herein. Some embodiments may include a system configured to provide to shared promotion redemptions. The system may include a merchant device with processing circuitry configured to associate multiple consumer accounts with a point-of-sale order. Based on receiving redemption data from a consumer device associated with one of the consumer accounts, the system may be further configured to allow the consumer device to share a selected promotion. For example, the system may determine payment share amounts for each consumer account based on a transaction price of the point-of-sale order and the redemption value of the promotion selected for shared redemption.

Systems and methods for providing shared promotion redemptions

Various systems, apparatuses, and methods are described herein for enabling secure communication protocols for proximity-based validation in distributed multi-device frameworks. Distributed multi-device frameworks present unique challenges when it comes to ensuring that user communications between various devices and over variable-security communication mediums remain secure. To address the noted challenges, some embodiments of the present invention provide for an apparatus configured to establish secure communications with a central system using wallet identifying data that is configured to secure data transfers between the apparatus and the central system. In accordance with some embodiments, devices communicating on proposed networks are arranged in a manner and using a network architecture that is configured to optimize overall network security and system integrity.

Secure communication protocols for proximity-based validation in distributed multi-device frameworks

In an example embodiment, a solution is provided that produces wide tables containing features for machine learned models. These wide tables are made available for model training for multiple models and/or groups. These wide tables may be served on a serving database for fast access for application program interface (API) serving and lightweight access during interactive development. The solution decreases the time needed to add a new feature from several days to a couple of hours by enabling experimentation.

Time sensitive data store

Systems, apparatus, methods, and non-transitory media for programmatically grouping consumer devices into stable spatial clusters are discussed herein. Some embodiments may include a point-of-sale system including a first consumer device of a stable spatial cluster of consumer devices to serve as a communication beacon. The first consumer device, that serves as the communication beacon, is configured to transmit and receive signals between a server and the other consumer devices of the stable spatial cluster of consumer devices. The other consumer devices receive a beacon identifier from the first consumer device and are thereby associated with a point-of-sale order to facilitate suitable point-of-sale functionality that may be provided via the first consumer device.

Systems and methods for programmatically grouping consumer devices into stable spatial clusters

Systems, apparatus, methods, and non-transitory media for programmatically grouping consumers are discussed herein. Some embodiments may include a point-of-sale system including a merchant device and one or more communication beacons. The communication beacons may be placed at locations of interest and may be configured to broadcast different beacon identifiers. Nearby consumer devices that receive the beacon identifier may be determined to be associated with a point-of-sale order and suitable point-of-sale functionality may be provided. In some embodiments, a peer consumer device may be selected as an ad hoc communication beacon for broadcasting a beacon identifier to other consumer devices.

Systems and methods for programmatically grouping consumers

A system, computer-readable storage medium, and computer-implemented method for editing content works, such as publications using markup language, via a user interface having panel of patterns, are presented. The disclosure includes approaches for editing and creating patterns based on selected representations of markup elements and other content, and also features of the user interface that enable use of the patterns for modifying content works.

User interface for creation of content works

Growing community of inventors

San Francisco, CA, United States of America

Michael Chen