We’re thrilled to announce that LogiNext has been included as a case study at the prestigious Harvard Business Review. “LogiNext: An Indian Start-up Scales Challenges in the GCC Region” is the title of the case study and it centers around the company’s global success.
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.
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.
Here are the top features of the year that created the most value for our clients. These features have the highest usage among managers. These managers keep sending back their delightful feedback from time to time. Based on our own analytics and market feedback we have collated this list of the top features which created the most business value.
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.