LogiNext’s field workforce optimization is machine learning-enabled planning engine which pulls in all the constraints such as preferred time slot visits, avoiding repeat visits, avoiding overlap or mirroring, and also to optimize the service time or time spent at each outlet
The World Bank has said logistical costs swallow up around a quarter of Indonesia’s gross domestic product, citing bottlenecks in supply chains, long dwelling times in ports and lengthy trade clearances. Indonesia’s e-commerce sales are set to rise from 3 percent of retail activity now to 19 percent by 2027, Morgan Stanley estimates.
Optimization is doing more with less while sustaining (or bettering) the efficiency of operations. With multiple orders and shipments constantly moving with an excess of customer requests and demand, fulfilling on-time deliveries consistently not only saves costs but also increases the overall brand value for the company.
Under-utilized capacity carries a clear cost which adds to the cost-per-unit carried by the resource. It isn’t feasible to run under-utilized resources to fulfill the ever-increasing demand created due to expectations of on-demand, same, or next day deliveries. On-demand and preferred slot delivery (or pick-up) is made more efficient with the use of an auto-allocation engine.
We recently integrated with Alexa, Google Assistant, Cortana, and Siri. Now, the manager can simply relax and instruct their personal assistant to fetch the information for them. Almost anyone can use the personal assistant without any hassle. It doesn’t matter if they are tech-savvy.
Our expectations as a customer have increased exponentially thanks to the ever-evolving technology. For example, now we expect our couriers to be delivered to us at our convenient location and time in the most optimum condition. According to Business Insider, “APAC accounted for 40% of global e-commerce sales in Q1 2017”
Paytm backed LogiNext to replicate Alibaba’s strategy in logistics movement and field workforce optimization across India and Southeast Asia. Jack Ma’s processes coupled with LogiNext’s machine learning algorithms can make logistics management and last mile delivery optimization easy and trackable for all enterprises.
This is how Myntra used LogiNext’s cloud-based last mile delivery optimization solutions to make their e-commerce deliveries simpler, faster, and more accurate. Now Myntra can plan, allocate, direct, and track all their deliveries simply using LogiNext Mile. This is how Myntra, one of the top e-commerce companies in India, manages its logistics.
According to NOVONOUS, “Indian logistic industry presently is of whooping $300 billion” and “will grow at 1.5–2 times the GDP” suggests Empirical Evidence. The influx of startups like mushroom surfacing the e-commerce array has added to the accelerated growth.