Canpan Technology, a subsidiary of New Hope Fresh Life Cold Chain Group, has chosen Amazon Web Services (AWS) as its preferred cloud provider to develop smart supply chain solutions. Leveraging AWS services such as data analytics, storage, and machine learning, Canpan aims to deliver efficient logistics and flexible fulfillment capabilities for clients in the food, beverage, catering, and retail industries. This partnership enhances cold chain monitoring, agility, and efficiency, driving intelligent and precise management in the food distribution sector.
Meeting the Rising Demand for Fresh and Safe Food
New Hope Fresh Life Cold Chain serves over 4,900 clients across China, managing 290,000+ cold chain vehicles and 11 million square meters of warehouse space. By adopting IoT, AI, and machine learning technologies, the company provides end-to-end supply chain solutions. As consumer demand for fresh, safe, and high-quality food continues to grow, the cold chain industry faces increasing pressure to enhance efficiency and ensure food safety.
Canpan Technology uses AWS to build a data lake and real-time data platform, creating a transparent and efficient supply chain. This system optimizes procurement, supply, and distribution, improving overall operational efficiency.
Data-Driven Cold Chain Management
Canpan’s data lake platform leverages AWS tools such as Amazon Elastic MapReduce (Amazon EMR), Amazon Simple Storage Service (Amazon S3), Amazon Aurora, and Amazon SageMaker. These services collect and analyze massive amounts of data generated during cold chain logistics, enabling precise forecasting, inventory optimization, and reduced spoilage rates through advanced machine learning algorithms.
Given the high precision and real-time monitoring required in cold chain logistics, Canpan’s real-time data platform uses Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Managed Streaming for Apache Kafka (Amazon MSK), and AWS Glue. This platform integrates Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and Order Management Systems (OMS) to streamline operations and improve turnover rates.
The real-time data platform allows IoT devices to monitor and transmit data on temperature, door activity, and route deviations. This ensures agile logistics, smart route planning, and real-time temperature monitoring, safeguarding the quality of perishable goods during transportation.
Driving Sustainability and Cost Efficiency
Cold chain logistics is energy-intensive, especially in maintaining low-temperature environments. By leveraging AWS cloud and machine learning services, Canpan optimizes transportation routes, dynamically adjusts warehouse temperatures, and reduces carbon emissions. These innovations support the cold chain industry’s transition to sustainable and low-carbon operations.
Additionally, AWS provides industry insights and hosts regular “Innovation Workshops” to help Canpan stay ahead of market trends. This collaboration fosters a culture of innovation and positions Canpan for long-term growth.
A Vision for the Future
Zhang Xiangyang, General Manager of Canpan Technology, stated:
“Amazon Web Services’ extensive experience in the consumer retail sector, coupled with its leading cloud and AI technologies, enables us to build smart supply chain solutions and accelerate the digital transformation of the food distribution industry. We look forward to deepening our collaboration with AWS, exploring new cold chain logistics applications, and delivering high-quality, efficient, and safe logistics services to our clients.”
Post time: Nov-18-2024