Integrate Aftership to MongoDB
Aftership is a shipment tracking platform designed to be built into a company’s website as a branded tracking page. It provides customers with details about a shipment, including what courier is delivering the package, where it is, and when it is estimated to be delivered. For the retailer, Aftership reduces logistical workload by monitoring the status of a shipment and automatically sending updates to customers as that status changes. It also helps retailers identify and respond to problems in their delivery systems by providing analytic reports on how many shipments were sent, delivered, lost, etc.
Integrate Aftership to MongoDB
Popular Use Cases
Xplenty can extract any data that you need from Aftership. Here are some of our most popular use cases:
Create or receive tracking details for a shipment, including its carrier, destination, tracking number and the checkpoints that it has reached. This data can be used to set up customer alerts or to provide detailed analytics about your shipment history.
Retrieve a list of couriers that are activated on your Aftership account or related to a tracking number for a specific shipment. The returned data will include the name of the courier, their contact information - website, phone number, etc. - and the fields required to track shipments that they are delivering.
Receive information about the last checkpoint that a shipment has reached, including the courier, location, status, and the time that it reached the checkpoint. Then, you can use this data to send status updates to customers containing the most recent information available for their deliveries.
Get a list of which customers receive notifications for a particular tracking number and how they receive them i.e. via email, SMS, etc. Then, use this endpoint to add or remove customers from that list to ensure that customers only receive relevant notifications in their preferred manner.
Software Engineer, Pocketzworld
Syncing MongoDB into Redshift is difficult. Xplenty makes it easy. The Xplenty GUI allows us to define custom transformations, which are vital when preparing NoSQL data for SQL-based processing. At first we tried building our own ETL pipeline, then we evaluated 5 other ETL vendors - and Xplenty was by far the most reliable, affordable, and easy to use. If you need to analyze your MongoDB data using Redshift, start here.
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Xplenty and MongoDB
With Xplenty's integration, you can use MongoDB to store and query data, and Xplenty to process and analyze it. Xplenty can import data right from MongoDB, and integrate it with other data stores, without the need for any coding or deployment. The processed data can easily be stored wherever required, whether back on MongoDB, cloud storage, or a relational database.