This blog highlights how logistics route optimization using machine learning can help businesses improve their efficiency and profitability by offering predictive analytics, real-time data, dynamic routing, capacity planning, and customer satisfaction.
Singles Day leads to massive order surges! The last year’s record was $1 billion in minute. To fulfil orders at scale, efficient technological interventions are important. LogiNext’s Mile platform is just the product you’re looking for.
It’s a wrap-up for the Safe Driver Week 2019 and I hope your fleet has come out of it with lesser citations than the last year. The theme of this years #SafeDriverWeek was overspeeding, though overspeeding is a major cause for fatal accidents, we think there are multiple other factors that directly or indirectly contribute towards driver safety on road.
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.
Amazon’s prime day upped the utilization of their fulfillment centers by over 25%. They have made their logistics leg into a powerhouse which they keep leveraging to get ahead of the competition. O one hand they are losing money and on the other, they are continuously building value, much more than any other company. What’s the key here?
Companies can compete by making a better product. But it’s no longer enough. The company also must create a great delivery experience for the customer. Proper logistics movement optimization is key, not just to ensure quick and on-time deliveries, but also to boost customer satisfaction and retention.
Ever wondered how some of these big-name e-commerce companies across the globe manage international sales events? It is only possible with tech creating shorter delivery routes and more successful (on-time) deliveries per day. This tech is the crux of what makes same-day delivery, not just a phenomenon but a reality.
We saw last mile delivery being used as the key input in all omnichannel strategies. We saw localization in distribution strategies centered around making last mile delivery more effective. We also saw machine learning being implemented successfully in logistics and field workforce planning. These trends would be the greatest influencers in 2018 for logistics and field workforce management.
Tech evolution must always be around a purpose. The purpose of the upgrades mentioned here, and many more that are regularly communicated to the clients through mailers, is singular. To optimize resource movement with a view to reduce operations costs and improve overall process efficiency.
Case Study: How to Increase Sales Effectiveness by 25% in FMCG This is a story about effective field agent performance optimization and its resultant benefits. According to one of our major clients in the fast-moving consumer goods (FMCG) sector, field sales effectiveness was something that they wanted to increase as soon as possible. […]