About
Shipit.to is a digital logistics platform that leverages the Internet of Things (IoT) and machine learning to facilitate supply chain management. It aims to simplify the process of tracking and managing supply chains by providing features such as real-time visibility of cargo, instant alerts for any exceptions, and support for multimodal shipments. The platform also integrates with air traffic and marine monitoring systems, offers flexible APIs for seamless integration with existing IT systems, and utilizes small, cost-effective IoT trackers that do not require special installation. Additionally, Shipit.to offers analytics tools for supply chain and logistics insights, and its services can be customized through white-label solutions, including administrative and customer-facing applications. The focus is on overcoming common barriers like high costs and complex installation, aiming to make supply chain management more accessible and efficient.
Shipit was developed by Alperton Ltd.
Company Intelligence Q&A
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- What is the primary function of shipit.to?
- Shipit.to is a digital logistics platform that uses IoT and machine learning to manage supply chains, offering features like real-time cargo visibility, exception alerts, and multimodal shipment support.
- When was shipit.to founded?
- Shipit.to was founded in July 2016.
- What is the current operational status of shipit.to?
- Shipit.to is currently inactive, having ceased operations in January 2025.
- Which company developed the Shipit platform?
- The Shipit platform was developed by Alperton Ltd.
- How many employees did shipit.to have?
- Shipit.to had between 1 and 10 employees.
- What was a notable partnership for shipit.to?
- In May 2020, DSV partnered with the shipit.to platform in Israel.
- Who are the founders of shipit.to?
- The founders of shipit.to include Omer Avramovs Cole, Assi Rotbart, Tamir Avramov, and Ofer Lavi.
- What technologies does shipit.to utilize?
- Shipit.to utilizes technologies such as Platforms & Interfaces, Web, Mobile, Communications, IoT, Artificial Intelligence, and Machine Learning.