This paper presents the first nationwide deployment of human activity recognition (HAR) technology in the on-demand food delivery industry. We successfully adapted the state-of-the-art LIMU-BERT foundation model to the delivery platform. Spanning three phases over two years, the deployment progresses from a feasibility study in Yangzhou City to nationwide adoption involving 500,000 couriers across 367 cities in China. The adoption enables a series of downstream applications, and large-scale tests demonstrate its significant operational and economic benefits, showcasing the transformative potential of HAR technology in real-world applications. Additionally, we share lessons learned from this deployment and open-source our LIMU-BERT pretrained with millions of hours of sensor data.
@article{arxiv.2509.24303,
title = {Experience Paper: Adopting Activity Recognition in On-demand Food Delivery Business},
author = {Huatao Xu and Yan Zhang and Wei Gao and Guobin Shen and Mo Li},
journal= {arXiv preprint arXiv:2509.24303},
year = {2025}
}