Key skills
AISales
About this role
About Our Team
Our team is missioned for the research, development, and implementation of algorithms for core supply chain scenarios. Focus on building intelligent decision-making solutions for the supply chain based on large models, encompassing core operations such as sales forecasting, replenishment planning, capacity planning, and inventory allocation. Simultaneously, explore the application of algorithmic technologies in more business areas to ensure the effectiveness of algorithm implementation and deliver business value.
Responsibilities
1. Lead the research, development, implementation, and iterative improvement of algorithms related to multi-scenario supply chain forecasting, replenishment, capacity, and allocation.
2. Apply large model technologies to business scenarios, demonstrating proficiency in the design and practical implementation of key techniques including Pre-training (PT), Continuous Pre-training (CPT), Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), and AI Agents.
3. Possess an application-oriented mindset, collaborate with business teams to realize the value of algorithms, and continuously explore new opportunities to enhance operational efficiency and manpower productivity.
Our team is missioned for the research, development, and implementation of algorithms for core supply chain scenarios. Focus on building intelligent decision-making solutions for the supply chain based on large models, encompassing core operations such as sales forecasting, replenishment planning, capacity planning, and inventory allocation. Simultaneously, explore the application of algorithmic technologies in more business areas to ensure the effectiveness of algorithm implementation and deliver business value.
Responsibilities
1. Lead the research, development, implementation, and iterative improvement of algorithms related to multi-scenario supply chain forecasting, replenishment, capacity, and allocation.
2. Apply large model technologies to business scenarios, demonstrating proficiency in the design and practical implementation of key techniques including Pre-training (PT), Continuous Pre-training (CPT), Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), and AI Agents.
3. Possess an application-oriented mindset, collaborate with business teams to realize the value of algorithms, and continuously explore new opportunities to enhance operational efficiency and manpower productivity.