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Imagine a world in which your digital assistant takes over the tedious administrative tasks.
An assistant that summarizes emails and documents, collects missing information, sends deadlines and serves your systems with data.
More time for what really counts: Your customers and the quality of your services.
Efficiency, control and overview – with AI.
Implementing spedi, our AI assistant within one to three months allows for a rapid response to changing business needs, maintaining competitiveness and stakeholder engagement while balancing compliance, security and speed with quality.
Integration with existing TMS systems ensures seamless data flow between platforms, minimizing disruptions and maximizing operational efficiency. This streamlined approach supports real-time visibility, faster decision-making, and smoother collaboration across departments.
An individual configuration to specific requirements ensures a match to the organization’s unique processes, goals, and workflows. By customizing functionalities and features, this approach maximizes efficiency and fosters improvement for long-term success.
Spedi is an Austrian AI assistant developed by datasol that specializes in supporting logistics companies and helping them remain financially viable.
By combining cost-effective investments with advanced technologies, spedi delivers robust, efficient operations management—even in times of crisis.
Through real-time data analytics, it helps reduce operational costs and CO₂ emissions, improve decision-making, and foster a more sustainable logistics landscape.
Spedisol contributes to reducing emissions by intelligent tender and transportation management. AI algorithms determine the most appropriate tenders, and the corresponding routes, minimizing unnecessary journeys.
By using our platform to predict and improve vehicle utilization, Spedisol helps to reduce empty runs and minimize emissions per unit of goods transported. In addition, the platform takes care of using more environmentally friendly transport methods such as intermodal, electric or hybrid vehicles through data insights.