Dynamic Pricing for Banana Farms

To dynamically price bananas at the right price is one of the most important issues for a banana farm as it directly links to the profit of the farm, but it’s very challenging to price bananas at the right price in a dynamical manner. With the accurate consumer demand forecasting results and the analytical results of consumer behaviors from the “Data Driven Intelligent Demand Forecasting for Banana Harvest” research, the proposed research works aim to formulate and develop dynamic pricing models for bananas from the farms’ prospectives and develop right pricing policies for banana farms. It’s expected that the developed dynamic pricing policies can help banana farms to increase their profitability.

Our Objective

  • Formulate and develop dynamic pricing models for bananas from the farms’ perspectives.
  • Develop right pricing policies for banana farms.

Our Deliverables

  • Novel dynamic pricing models.
  • Optimal pricing policies.

Discover Our Team

Wenyu Wang

Student
Analytics & Operations

Anton Reiling

Student
Analytics & Operations

Kexin Wu

PhD Researcher
Industrial Systems Engineering and Management

Yuan Xue Ming

Senior Research Fellow

Ade Cholis

Research Associate
IPB University

Linda Karlina Sari

Secretary of Business School
IPB University