The top challenges, especially for CPG companies, are lack of proper delivery movement visibility, lack of control of actual on-ground logistics, delayed reaction time if anything goes wrong on-ground, over or under-utilized truck capacities, inaccurate estimated time of arrivals (ETAs), etc. LogiNext can help overcome all these and more.
What’s with same-day or next-day deliveries? Well if haven’t forgotten important dates such as Valentines’ or any other such day, you won’t much appreciate the urgency of fast deliveries to save face. All’s well that end’s well, and that’s why the right logistics technology, especially last mile, is critical for flash events.
As technology becomes deeply ingrained in the business operations, cloud-based tools lead the charge toward a new and improved fleet management landscape. From automation to IoT to in-fleet GPS tools, technology is the secret sauce to help fleet managers achieve goals across their organization.
The current path of logistics optimization demands a keen interest of the CIO, and this article is directed to bring them up-to-date with the benchmarks they should look for, paving the way for better business opportunities.
Tech is driving industries faster and faster. CAGR is keenly watched everywhere. Such tech needs leaders, and LogiNext has claimed its place, time and again, at the top of the chain.
Retail and e-commerce are moving fast and merging along the line into a singular platform. What is driving this behavior for these mega-entities? What is the one factor which is bringing all of retail and e-commerce onto one platform?
The Southeast Asian region would grow at 32% CAGR, reaching about $88 billion by 2025, Indian shores have taken up e-commerce strongly. Here, the market is slated to reach $64 billion by 2020, $200 billion by 2026, and surpass the U.S market by 2034
With LogiNext, high-end machine learning enabled logistics optimization rounds off at the end with human-driven achievements. In the world of fast-moving deliveries, this balance creates a sustainable and scalable model of efficiency.
Internet of things (IoT) with the latest in machine-learning backed algorithms are the way logistics would be optimized to meet all customer demands and requirements, right from fast shipping, live tracking and notifications, and on-time delivery with optimized final mile movement.
Retail, as we grown to recognize it, might not exist in the near future. This isn’t another retail doom warning. On the contrary, it’s about how the retail and e-commerce space is fast evolving. These players must give convenience wrapped in a neat delivery experience.