A web-based SaaS application to improve the efficiency and sustainability of the home-delivery/courier sector impacted by COVID-19

本项目是一个基于web的SaaS应用程序，旨在提高送货上门/快递服务的效率，以应对当前COVID-19形势下高度不可预测和波动的送货数量。Optrak已经确定了一个可行的策略，以提供一个统一的仓库级规划系统，可以：*通过有效利用临时工/兼职工人来应对高度变化的需求*从司机的本地知识中获得最大利益*司机之间的自动水平工作*考虑到司机根据知识或其他工作率因素的不同生产力*为希望缩短班次的司机提供兼职工作（例如，配合上课时间）。*利用从送货证明数据中获得的分析，自动进行自我调整，以应对不同司机的表现和地理因素（例如送货至公寓楼）。利用这个轻量级的网络工具，送货上门服务将能够上传订单、资产和客户，并下载路线，以适应他们当前的固定区域计划，以处理高度波动的订单水平和模式，并纳入新的员工，同时将其路线的整体效率提高20%——减少碳排放，提高车队资源利用率。

This project is for a web-based SaaS application to improve the efficiency of the home-delivery/courier services to handle the highly unpredictable and fluctuating delivery quantities seen in the current COVID-19 situation. Optrak has identified a viable strategy to deliver a unified depot-level planning system that can:* Cope with highly varying demand through efficient utilisation of casual/part-time workers* Derive maximum benefit from driver local knowledge* Automatically level work between drivers* Take into account different productivity of drivers depending on knowledge or other work rate factors* Enable part-time working for drivers who want shorter shifts (e.g. to match school hours).* Use analytics derived from proof-of-delivery data to automatically self-tune to cope with different driver performance and geographical factors (e.g. deliveries to blocks of flats).Utilising this lightweight web tool, home delivery services would be able to upload orders, assets and customers and download routed trips that adapt their current fixed area plans to handle highly volatile order levels and patterns, as well as incorporate new staff, whilst improving the overall efficiency of their routes by as much as 20% - reducing carbon emissions and improving fleet resource utility.