The customer facing leg, i.e. the Last Mile (LM), and field executive (FE) for any logistics company play a pivotal role in establishing a brand among its customers. It is imperative to have a robust and closely controlledLM for longevity of a company in the market.In the following paper, we present various sense-&-respond concepts and technologies that can be used to track and, in-turn, enhance the performance of individual LM resources. Sense-&-respond systems can lead to welldefined action plan enabling an efficient LMservice, thus improving customer experience, curtailing unnecessary costs and improving safety of all stakeholders. The different modular and customizable solutions conceptualized and evaluated below include multiple IOT technologies, like camera based solutions, BLE beacons, GPS, and recorders, that can be employed to have a multi-point sensing in LMdelivery service. We cover aspects, ranging from FE attendance, FE's disposition, track and trace of FEs in turn shipments, and route optimization, customers' and FEs' interaction and a feedback mechanism to allow for continuous improvement of customers' and FEs' experience.
Abstract:The choice of sorting automation needs to be based on trade-offs on cost economics, reliability and operational challenges. A greater degree of warehouse maturity is required to handle increasing throughputs. While generally the per-unit-cost of operation will reduce as warehouse move towards greater degree of mechanization and automation, costs are also dependent on local factors. At the same time, awareness of the tipping point is essential to maintain low cost of operations with the promised level od service. This becomes even more essential for low-margin sectors like ecommerce logistics and low-wages countries like India.Given this, key questions that we need to answer on Sortation are: 1. Network design related:1. What is the right sort philosophy -sort at source vs. sort at destination vs. hybrid? 2. What factors will govern the choice of sorting centre locations? 2. Asset strategy related: a. What is the asset cost-structure and accordingly the right technology for future sort requirements? b. How can we modularize the investment to handle peaks & scalability while factoring in practical constraints like land availability in urban areas?The answer to above questions might change from industry to industry. As we scale beyond lowthroughput sorters at Flipkart, we have analysed and answered some of these questions to build applicable strategies and business cases
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