ClickPost, India’s premier logistics intelligence platform, today announces the launch of its groundbreaking AI-powered carrier allocation system. This advanced solution tackles the critical challenges faced by e-commerce businesses in India, including uncontrolled shipping costs, faster deliveries within the same carrier ecosystem, and high RTO rates. By intelligently selecting the optimal carrier for every shipment using real-time and historical data, ClickPost's new system dramatically reduces delivery failures, lowers costs, and enhances customer satisfaction.

In India’s booming e-commerce landscape, delivery commitment breaches, high RTO rates, and inefficient carrier selection remain significant hurdles for businesses. These logistical issues can lead to operational bottlenecks, increased costs, and diminished customer trust. According to a report, Return-to-Origin (RTO) rates in India average between 20-25% and can reach up to 40% for Cash on Delivery (COD) orders, severely impacting e-commerce profitability. ClickPost’s AI-powered allocation eliminates the guesswork from logistics, replacing manual carrier selection with a smart, self-optimizing system that continuously refines its performance.

Unlike traditional carrier assignment methods that rely on fixed rules or manual selection, ClickPost’s AI-powered allocation adapts dynamically. It uses insights from 500+ logistics partners to evaluate key factors such as delivery speed, SLA adherence, RTO rates, turnaround time (TAT), failed deliveries, and cost optimization. The AI engine then selects the most suitable carrier for each shipment, improving delivery reliability and reducing costs.

Businesses can also customize carrier allocation criteria based on their priorities. Whether a brand prioritizes cost efficiency, speed, or reducing returns, the system adjusts accordingly to meet operational goals. Furthermore, time-based performance tracking helps businesses spot underperforming carriers before they impact deliveries, allowing for timely adjustments.

For brands new to logistics or lacking extensive historical shipment data, ClickPost’s system fills the gap by leveraging industry-wide performance benchmarks, allowing even newer businesses to make data-driven allocation decisions. The platform’s allocation simulation feature lets companies test different carrier selection strategies before implementation, minimizing risk and improving logistics efficiency.

Real-world implementation has shown strong results. Hopscotch, a leading e-commerce brand, implemented ClickPost’s AI-powered allocation in just three weeks, achieving a 1.5% reduction in RTO rates over two months and ₹12 lakh in monthly savings. This demonstrates the impact of data-driven logistics on improving delivery success and cutting costs.

“Logistics inefficiencies drain profits and frustrate customers. With AI-powered allocation, we’re giving e-commerce brands a smarter way to select the right carrier for every shipment—ensuring deliveries are faster, cheaper, and more reliable,” said Prashant Gupta, Co-Founder at ClickPost. “This innovation marks a major step forward in how brands can scale their logistics operations seamlessly.”

ClickPost already powers logistics optimization for leading brands such as Pepe Jeans, Sugar, Supertails, and Motorola, helping them streamline shipping, reduce RTOs by up to 25%, and enhance delivery accuracy. With the introduction of AI-powered allocation, ClickPost further cements its leadership in AI-driven logistics automation.