As an executive with responsibility for the development of a logistics company, you would like to optimise ground transport routes and visibility. You want to monitor the condition of containers (temperature, humidity) in real-time to ensure the integrity of the cargo.
For sustainability, you’d like to improve visibility and reduce theft. You’re looking for tools to track vehicle location in real-time, manage weight, and perform performance analysis.
As a logistics executive, you’d like to reduce fuel consumption and improve delivery times. You aim to reduce operating costs, increase efficiency, and make transport safer. You want to be able to identify maintenance needs before breakdowns occur.
Integrating Artificial Intelligence (AI) with traditional algorithms automates processes, minimizing the need for manual intervention in logistics and supply chain operations. Real-time tracking capabilities coupled with AI analytics empower data-driven decision-making, optimizing inventory management and mitigating losses.
IoT devices such as RFID tags, eSIMs, and GPS sensors provide precise real-time tracking of shipments, improving visibility throughout the supply chain. Seamless data exchange within supply chain ecosystems enables you to offer personalized customer experiences, while edge computing ensures timely access to cargo platform activity data.
Mobility as a Service (MaaS) platform has a unified interface for simplified trip planning and ticket purchases, providing your clients with optimal routes integrating various modes of transport.
Blockchain technology ensures secure and transparent transactions through decentralized ledgers. Automation of processes via smart contracts reduces reliance on intermediaries, facilitating real-time tracking of goods and verifying product origins to minimize counterfeit incidents.
IoT sensors transmitting data to digital twins enable proactive maintenance by providing insights into equipment location, condition, productivity, temperature, and damage.
Data analytics facilitate fuel-saving route optimization and smarter inventory management, enhancing operational efficiency. Timely deliveries and improved services elevate customer satisfaction, while extended analytics pinpoint inefficiencies, reducing overhead costs.
Digital Supply Chain Twins (DSCT) enable efficient process modeling, exploration, and testing without altering real-world operations. It allows identify bottlenecks, inefficiencies, and potential risks in the supply chain and give possibility for better planning and resource allocation.
Robotic Process Automation automates inventory management, route optimization, safety enhancement, and issue prediction, boosting efficiency and optimizing inventory levels. AI and RPA mitigate labor shortages in logistics by taking on tasks currently performed by humans.
Warehouse Management Systems accelerate order fulfillment, increase product delivery speed, and minimize distribution costs. Real-time data provided by IoT devices enhances visibility and control over warehouse operations, with cloud-based WMS services offering cost-effectiveness and faster deployment compared to local solutions.
The application perfectly meets the large-scale demands of the project, with the team creating an effective solution that works well and provides the required level of control. They were communicative, responsive, and proactive throughout the project, demonstrating their experience at all times.