How advanced analytics and predictive logistics are driving stability in supply chains
pan-India logistics supply chain network can be daunting. For logistics firms covering first-mile pickup to last-mile deliveries while also offering reverse logistics (returns) and fulfilment services (warehousing), the challenge can be all the more formidable.
Budget with ET
How Budget 2025 can walk the tightrope of India's 'sins'
Will Budget add more firepower to defence industry's local manufacturing?
Sitharaman and co to fuel India's luxe aspirations, premium growth?
Particularly when the task involves the delivery of essential logistics services to connect e-commerce platforms and digital retailers with end-consumers all over India. Quick commerce, with its promise of ultra-fast deliveries within minutes, has added new dimensions to the logistics landscape, demanding hyper-localized distribution networks, precision-driven predictive analytics, and seamless execution capabilities to meet consumer expectations without compromising efficiency or reliability.
Array of Tools and Facilities
Considering the volume of daily deliveries, the orderly performance of logistics facilities is a prerequisite for successful business operations. In this context, automation and allied AI-enabled services are acting as key differentiators, driving stable supply chain performance and outcomes. The routine service offerings include data loggers as well as automated sorters and conveyors.
Needless to say, the technological systems driven by data science and other AI-powered capabilities are key to vibrant logistics enterprise
