Faced with a dynamic and competitive landscape, our client, a leading express delivery service provider in Malaysia is setting its sights on significant growth and geographical expansion. To solidify their position as a leader in the industry, they recognize the crucial role of operational efficiency in meeting the ever-increasing demands of their customers.
In pursuit of this goal, the company actively looked for innovative solutions to optimize their last-mile delivery operations, which are known to be one of the most challenging aspects of the logistics chain. By leveraging the power of AI and big data, they implemented a cutting-edge automatic parcel sorting solution and route optimization system.
What Was Done
- An automated parcel sorting system designed to streamline delivery nationwide. This system micro-sorts parcels, directing them to their designated branches, stations, and even specific street-level delivery routes – optimizing last-mile efficiency.
- Dynamic route allocation based on various constraints such as vehicle and driver availability, distance, and parcel type.
- Integrate external APIs to the client’s logistic management system for real-time performance and capabilities.
Parcel allocation: Using unsupervised learning to create map boundaries.
Automating route optimization for improved logistics.
Benefits Seen
- Reduction in manual parcel sorting and route allocation processes, resulting in hundreds of man-hours being saved yearly.
- Improved delivery speed: Parcel delivery time shortened by 50%.
Automating parcel sorting significantly improved speed and accuracy, minimizing delays and disruptions in the delivery process. Furthermore, an AI-powered route optimization system dynamically calculated the most efficient delivery routes, taking into account factors like traffic congestion, driver availability, and real-time order updates. This translated to faster delivery times, reduced fuel consumption, and ultimately, a more satisfied customer base.
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