Razornext partnered with a leading FMCG company to optimize their delivery and logistics operations. The goal was to reduce delivery delays, improve route accuracy, and lower operational costs. By leveraging AI and predictive analytics, Razornext built a scalable, intelligent routing platform that delivered real-time insights and enhanced supply chain efficiency.
What was the main challenge in this project?
The main challenge was optimizing complex delivery routes across multiple regions while accounting for traffic, distance, and delivery priorities. The client’s existing system lacked real-time automation and visibility, leading to inefficiencies and delayed deliveries.
What was your solution or approach?
Razornext implemented an AI-driven route optimization system powered by machine learning and real-time data. GPS tracking, predictive traffic analysis, and dynamic scheduling were integrated to automate delivery planning and ensure data-backed decision-making.
What was the outcome or impact for the client?
The client achieved a 30% reduction in delivery time and a 20% decrease in fuel costs. Fleet utilization improved significantly, customer satisfaction scores rose, and logistics operations became more data-driven and efficient.