Support for the introduction of last-mile optimization and reduction of re-delivery solutions.
Re-delivery is putting pressure on logistics. Supporting the optimization of the last mile and the reduction of re-deliveries.
As the expansion of the EC market increases small parcel deliveries, a cap on overtime for truck drivers will be implemented starting in 2024, making the shortage of transportation capacity a real issue. About 10% of parcel deliveries are re-deliveries, which drains the limited resources of drivers and vehicles. This service will gradually support the understanding of the reality and causes of re-deliveries, the expansion of delivery to designated locations, delivery boxes, and pick-up points, optimization of routes based on traffic, package volume, and home presence predictions, and the confirmation of delivery methods before dispatch through information collaboration with shippers. There is no need to start with large-scale system investments. We are accepting applications for a free diagnosis of the reality of re-deliveries. Please feel free to contact us if you are interested.
basic information
【Service Overview】 Support for the introduction of last-mile optimization and reduction of re-delivery solutions (diagnosis and consulting) Provided by: Accenture Supply Chain & Engineering (SC&E) 【Target Audience】 Management, logistics, and SCM departments of delivery service providers, transportation companies, e-commerce businesses, and shippers 【Structure (4 Layers)】 Delivery data infrastructure / Diversification of receipt methods / Optimization of delivery routes / Collaboration with shippers and recipients 【Approach】 STEP 1 (0-6 months) Understanding the reality of re-delivery and expanding receipt methods STEP 2 (6-18 months) Route optimization and collaboration with shippers STEP 3 (18 months and beyond) Continuous improvement and optimization of the delivery network 【Entry Point】 Diagnosis of the reality of re-delivery (free of charge)
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Applications/Examples of results
【Main Uses】 - Understand the reality and causes of redelivery based on delivery performance and absence data by region, time zone, and type of package. - Establish rules for leaving packages and expand pickup locations such as delivery boxes and convenience stores. - Optimize delivery routes considering traffic, package volume, and times when recipients are likely to be home. - Share delivery information with shippers so that recipients can choose their preferred delivery method and time before delivery. - Continuously manage the redelivery rate and expand effective measures. 【Example of Achievements】 (Please add any case studies here if available) We are currently offering a "Redelivery Reality Diagnosis (Free of Charge)."
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