Our package management software uses machine vision and AI to automate your mailroom and front desk operations. PackageX Receive is easy to use, highly scalable, and works across industries, including:
Simply snap a photo of any package or delivery label (even handwritten! โ๏ธ), and our package management software will: ๐ Automatically extract all relevant information, ๐ Match deliveries to the correct recipients, ๐ Manage notifications, ๐ Send alerts and reminders to all recipients, ๐ Collect proof of pickups, and ๐ Keep track of every item that enters and leaves your mailroom
๐ Trusted by smart teams at WeWork, DelVal, and more in 210+ cities worldwide ๐ 100% powered by the cloud. No specialized hardware needed! ๐ Scan packages and notify recipients with the click of a single button ๐ Painless inbound and outbound package tracking ๐ Quick and powerful search: search by carrier, retailer, sender, sender address, or recipient ๐ Users can assign a designated pickup person to collect all of their business's packages ๐ Real-time data and insightful analytics for smarter mailroom operation management ๐ Custom branding features to personalize email communication ๐ Access to our "Virtual Mailroom" features. Convenient call to action buttons within your notification emails.
Based on our record, Apache Airflow seems to be more popular. It has been mentiond 68 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 12 days ago
An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 23 days ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / about 2 months ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 5 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 8 months ago
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