Price optimization is important for striking the right balance between supply and demand to optimize profits and margins while accounting for a variety of constraints and factors such as buyer behavior, inventory, product waste, operating costs, and more.
Determining the best prices for a range or products (e.g., avocados, milk, scissors, shampoo, etc.) to maximize profit or maintain a base profit margin
Dynamically price based on demand to maximize revenue and ensure occupancy (e.g., airline tickets, hotel rooms, restaurant reservations, etc.)
Setting the cost of gig work based on demand to maximize revenue or maintain a base profit margin (e.g., car rides, errand completion, small-job tasks, etc.).
Get started with pre-built constraints, clone and customize the open source code to make it your own, modify the objective function, or explore other optimization solvers. See more in GitHub →
