Vroong Introduces AI-Based Dynamic Pricing for Delivery Services

by Jun sungmin Posted : September 3, 2026, 14:56Updated : September 3, 2026, 14:56

Delivery platform Vroong announced on September 3 that it has implemented an AI-based dynamic pricing system for its service, Vroong Friends.


Previously, delivery fees were primarily determined by distance. With the new pricing model, AI analyzes real-time delivery conditions, including order demand, estimated wait times, and weather, to automatically adjust delivery fees for each order.


This means that even for orders covering the same distance, delivery fees may vary based on actual conditions. Vroong aims to enhance the appeal of Vroong Friends by allowing riders to earn more on orders that are more demanding.


In addition to the dynamic pricing model, Vroong is expanding its AI dispatch feature. The AI analyzes the rider's location, movement patterns, and nearby orders to match them with suitable deliveries and support bundled deliveries.


Currently, the AI dispatch and dynamic pricing system are operational in select regions, including Seoul, Gyeonggi, Daegu, Gyeongnam, Gyeongbuk, Incheon, Jeonbuk, Busan, and Ulsan. Vroong plans to gradually expand the service based on actual operational data.


A Vroong representative stated, “We will enhance our services to provide more earning opportunities for riders while efficiently connecting orders and riders.”


Meanwhile, since the introduction of the next-generation AI dispatch system, Vroong Plus, the time delivery personnel spend traveling to stores has significantly decreased.


Vroong Plus is a system that automatically assigns the optimal rider by comprehensively analyzing the order location, the rider's real-time position, estimated travel time, and regional order flow.


Analysis of data from 17 regions where Vroong Plus was implemented in the first half of this year showed that the average travel time from dispatch to the rider's arrival at the store decreased from 12 minutes and 42 seconds to 9 minutes and 12 seconds, a reduction of nearly 30% (3 minutes and 30 seconds).





* This article has been translated by AI.