Syntex (u.s.a.) Inc.

Corcept Therapeutics Incorporated

Roche Palo Alto LLC

Mercari, Inc.

Robin D Clark

Jacob Berger

Alam Jahangir

Nicholas Charles Ray

Counde O'Yang

Lawrence Emerson Fisher

Karen Williams

Keith Roger Bley

Arthur F Kluge

Joseph M Muchowski

Francisco Javier Lopez-Tapia

Thomas Weitao Sun

Shu-Hai Zhao

L David Waterbury

Alexander Victor Muehldorf

Bruce Andrew Kowalczyk

Christopher Hurley

David Edward Clark

David Bruce Repke

Ralph New Harris, Iii

Klaus K Weinhardt

John O Gardner

Richard M Eglen

Paul M Blaney

Hazel Joan Hunt

Lee Allen Flippin

George Hynd

Michael G Martin

William L Smith

Fang-Ting Chiu

Mohammad Sajad

Stephen R Stabler

Douglas L Wren

Arthur M Strosberg

Chiaki Osaka

David E Clarke

Mohammad-Mahdi Mozzami

Moysey M Povzhitkov

Brad Ellis

Eric Turner

Yu Ishikawa

Doug Fry

Dai Okabayashi

Michael Spedding

Nicolas C Ray

Tadasu Isogawa

Peter H Crackett

Gwen Hickin

Michael Patrick Dillon

Colin C Beard

Brian H Vickery

Hans Maag

Clara Jeou Jen Lin

Tony Johnson

Jean-Claude G Pascal

Joan Marie Caroon

Richard Leo Cournoyer

Roger Whiting

David George Putman

Adolph P Roszkowski

Aaron Bayne Miller

Counde O′Yang

Lawrence Cate

Masonori Uehara

Lawrie Crate

Masanori Uehara

Andrew John Briggs

Ian McDonald

Sharathchandra Surendra Hegde

Andrew T Kilpatrick

Mike Spedding

Paul E Weller

David A Clark

Disclosed herein are various embodiments for estimating shipping costs of items purchased on an online market. An embodiment operates by detecting a sales transaction between a seller and a buyer for an item via an online marketplace. An item vector representing the item as created by a deep learning model based on a plurality of characteristics associated with the item is received. A set of proximate vectors to the item vector, each of the proximate vectors corresponding to a past listings where a past shipping cost from shipping a product in the past listing is known are identified. A weighted average is calculated from the past shipping cost of each of the past listings. A dimensional weight of the item is estimated based on the weight average, and a shipping cost for the item is estimated based on the estimated dimensional weight prior to providing the item to a carrier.

Estimating shipping costs with machine learning

Provided herein are various embodiments of using machine readable technologies for the smart shipping of multiple products. An embodiment operates by receiving a request from a seller to ship a plurality of items that have been sold via an electronic marketplace. Information pertinent to shipping each of the plurality of items is predicted. A shipping company to ship the plurality of items is selected and provided the predicted information. A single machine readable code for shipping the plurality of items using the identified shipping company is determined based at least in part on the predicted information. A confirmation is received from the computing system of the shipping company responsive to the single machine readable code being scanned by a computing device of the computing system of the shipping company, the confirmation indicating that one or more of the plurality of items have been received by shipping company for shipment.

Machine readable technologies for the smart shipping of multiple products

Disclosed herein are system, method, and computer program product embodiments for estimating shipping costs of items purchased in an online market using machine learning techniques. By determining in real-time the dimensional weight of an item with reference to a machine learning model describing past transactions, a buyer and seller in the online market can finalize the transaction in real-time. The machine learning model further implements a bias within the machine learning algorithm towards heavier estimation to avoid undercharging the market participants for shipping costs. One embodiment involves using these cost-estimation techniques in the context of a local shipping feature, which allows buyers and sellers to schedule a same-day delivery by seamlessly involving a local carrier.

Provided herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for using innovative computer technologies to enable smart shipping of items sold from sellers to buyers. An embodiment performs operations that include: predicting shipping information for shipping an item associated with a first user to a destination designated by a second user, including determining a category of the item to identify similar items from a historical database; storing at least some of the shipping information in databases of an Internet site; and generating a machine readable code associated with the item or the shipping information, wherein a shipper uses information from scanning the code to access and retrieve the shipping information from the databases of the site using an application programming interface (API) of the site, and wherein the shipper uses the retrieved shipping information to ship the item to the destination.

Computer technologies for enabling smart shipping using QR codes

The present invention provides a class of pyrimidinedione cyclohexyl compounds and methods of using these compounds as glucocorticoid receptor modulators.

Pyrimidine cyclohexyl glucocorticoid receptor modulators

The present invention provides amorphous solid forms of the compound of Formula I, as well as methods for preparing the compound of Formula I by precipitation.

Solid forms and process for preparing

The present invention provides a novel class of pyridyl-amine fused azadecalin compounds and methods of using the compounds as glucocorticoid receptor modulators.

Pyridyl-amine fused azadecalin modulators

The present invention provides a novel class of fused ring azadecalin compounds and methods of using the compounds as glucocorticoid receptor modulators.

Fused ring azadecalin glucocorticoid receptor modulators

The present invention provides a compound of the formula: a pharmaceutically acceptable salt or a prodrug thereof, where R, R, R, R, R, R, R, R, R, Y, Z, m, n, and p are as defined herein. The present invention also provides compositions comprising, methods for using, and methods for preparing Compound of Formula I.

Benzoxazine derivatives and uses thereof

The present invention provides a novel class of azadecalin compounds and methods of using the compounds as glucocorticoid receptor modulators.

Azadecalin glucocorticoid receptor modulators

The present invention provides a class of modified pyrimidine compounds, compositions and methods of using the compounds as glucocorticoid receptor modulators.

Modified pyrimidine glucocorticoid receptor modulators

Growing community of inventors

Palo Alto, CA, United States of America

Robin D Clark