The Demand Forecasting for Shipping and Distribution Solution uses historical demand data to forecast demand in future periods across various customers, products and destinations. For instance, a shipping or delivery company wants to predict the quantities of the different products its customers want delivered at different locations at future times. A company can use these forecasts as inputs into an allocation tool that optimises operations, e.g. in the routing of delivery vehicles, or to plan capacity in the longer term.
Pricing is recognised as a pivotal determinant of success in many industries and can be one of the most challenging tasks. Companies often struggle with several aspects of the pricing process, including accurately forecasting the financial impact of potential tactics, taking reasonable consideration of core business constraints, and fairly validating the executed pricing decisions. Expanding product offerings adds further computational requirements to making real-time pricing decisions, thereby compounding the difficulty of this already overwhelming task.
In today’s highly competitive and connected environment, modern businesses can no longer survive with generic, static online content. Furthermore, marketing strategies using traditional tools are often expensive, hard to implement, and do not produce the desired return on investment. These systems often fail to take full advantage of the data collected to create a more personalised experience for the user.