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 120 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.
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 / about 2 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 / 3 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 / 3 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 3 months ago
DelivApp - Software for managing online ordering, delivery and loyalty for multi-unit restaurants
RabbitMQ - RabbitMQ is an open source message broker software.
Envoy Deliveries - Manage office deliveries simply by snapping a photo.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
AfterShip - AfterShip is the shipment tracking API for ecommerce businesses and marketplaces.
StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.