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 Kafka seems to be more popular. It has been mentiond 121 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.
Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / 13 days ago
In todayโs fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, weโll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / 3 months ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 4 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 5 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 5 months ago
RabbitMQ - RabbitMQ is an open source message broker software.
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