Coupang and NVIDIA Launch AI Factory to Accelerate Generative AI in Logistics
Published: 27 Mar 2026
Author: Precedence Research
Coupang Inc., an e-commerce company, has announced a collaboration with NVIDIA to set up an internal AI factory, which will aid in accelerating AI innovation in its e-commerce logistics and delivery services. This was announced at the NVIDIA AI Conference and Expo on March 17, 2026. This development marks an important milestone in the use of Artificial Intelligence, including generative AI, in optimizing complex logistics networks.
AI Factory: Building AI Models for Logistics
The AI factory uses Coupang’s Intelligent Cloud Platform, along with NVIDIA’s DGX SuperPOD infrastructure. This combination enables rapid deployment of AI models, including those capable of reasoning and generating scenario-based solutions. This facilitates Coupang to test AI-based approaches to optimizing inventory placement, bin packing and fulfillment center scheduling. This platform enables the processing of agentic AI and model workflows to facilitate automated planning, multi-step logistics reasoning, and adaptive decisions.
The Generative AI in Fulfillment and Logistics market size was calculated at USD 1.24 billion in 2025 and is predicted to increase from USD 1.61 billion in 2026 to approximately USD 17.23 billion by 2035, expanding at a CAGR of 30.1%0% from 2026 to 2035 as the demand grows for optimal route planning and automated warehouse management
Advancing Generative AI in E-Commerce Operations
By establishing an AI development ecosystem, Coupang is creating an opportunity for future generative AI applications in e-commerce operations. For instance, models developed through the AI factory could potentially simulate complex delivery operations, create optimal routing strategies. Announcements by company executives also reference that the initiative complements the company’s Rocket Delivery service, which enables faster and more reliable order fulfillment. This announcement also represents an industry trend in which logistics leaders are incorporating AI platforms directly into operations, not just as predictive analytics, but as generative AI-driven decisions that could improve workflow efficiency and responsiveness.
The potential of AI factory to deploy computationally intensive generative AI models make it an important asset for the fulfillment and logistics companies. It shows the potential of advanced AI infrastructure to directly impact operational efficiency and accelerate the adoption of generative AI in the supply chains of the logistics and e-commerce industries.
A recent report by Precedence Research highlights that the Generative AI in Fulfillment and Logistics market is benefiting from advancements in AI-driven forecasting algorithms, data integration in real-time, and autonomous robots for efficient logistics operations.