Compare Cargo Assistant vs. iCargo

Embracing the transformative wave of "Industrie 4.0," logistics is now intertwined with digitalization, prompting businesses to assess their readiness for this shift. The future is already unfolding, inviting companies to transition into a digital era where they can concentrate on their primary strengths. It’s time to eliminate unnecessary distractions from administrative tasks and the resolution of organizational issues. The "Cargo Assistant Web Client" emerges as an innovative web-based telematics solution tailored for freight companies, significantly enhancing and accelerating operational workflows. Its primary capabilities include the creation, management, and transmission of digital freight orders directly to drivers, facilitating seamless access and processing right from the terminal. Furthermore, this system encompasses valuable features such as accounting tools, GPS-enabled tracking, and economic analytics, all designed to streamline your daily operations and enhance efficiency. With these advancements, businesses can look forward to a more productive and effortless working environment.

iCargo is an innovative, cloud-native solution for managing air cargo operations and facilitating collaboration among stakeholders, designed to encompass the entire range of cargo processes from start to finish. The platform offers flexible deployment options, allowing it to function either as a completely integrated system or through select best-of-breed components, addressing various tasks such as sales, operations, handling, warehouse and ULD (Unit Load Device) management, mail processing, revenue management and accounting, as well as terminal activities. With a shared customer data core and a centralized configuration portal, iCargo enhances visibility across different modules and ensures smooth integration across various business functions. It incorporates cutting-edge AI tools and analytics, including dynamic pricing systems, sophisticated forecasting methods, and instantaneous accounting reconciliation, which align real-time demand with available capacity, optimize revenue, and increase profitability. Furthermore, the platform streamlines workflows, minimizes manual tasks, and achieves operational cost reductions by leveraging ongoing machine learning advancements, ultimately leading to increased efficiency and effectiveness in cargo management. This holistic approach not only transforms traditional cargo operations but also empowers organizations to adapt to market changes swiftly and efficiently.