Amazon Technologies, Inc.

Siddharth Arora

Ashraf Alkarmi

Ruslan Anatolyevich Polyanskiy

Pawan Lata Uppuluri

Gustavo Euduardo Lopez

Neha Gureja

Gustavo Eduardo Lopez

Manivannan Sundaram

Maciej Tadeusz Golonka

Dana Christopher LoPiccolo-Giles

Abdou Mahmoud

Forest Dale Johns

Tyler W Carlton

Manas Dadarkar

Valerie Grace Millar

Subbiah Ganesan

Siva Padisetty

Sandeep Gonugunta

This disclosure describes automatically collecting, analyzing, and remediating operational issues with respect to systems executing within a network. For example, a service provider network may include a monitoring service may generate notifications related to operational issues upon detection of operational issues within a system executing within the service provider network. The monitoring service may provide one or more notifications related to an aggregation service that may aggregate the one or more notifications into a standardized format. Contextual information related to the operational issues may be automatically gathered by an analytics service, which may analyze the contextual information to determine a potential cause of the operational issues. Based on the potential cause, a remediation service may automatically remediate the operational issues.

Integrated remediation system for network-based services

Merchant quality may be inferred through machine learning techniques. A customer satisfaction classifier may receive data associated with a customer's engagement with a merchant, and may apply a machine learning model to the received data in order to infer a satisfaction of the customer with the merchant. The inferred satisfaction may be used to determine a rating of the merchant that is imputed to the customer.

Machine learned merchant ratings

Disclosed are various embodiments for an order management service. Orders may be correlated with an existing order to create a group order. The group order may include items picked up or delivered to the same or geographically proximate locations. Incentives may be used to incite participation in a group order, thereby saving on overall delivery costs.

Creating group orders through geofencing

Creating group orders

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Seattle, WA, United States of America

Siddharth Arora