System and method to provide prescriptive actions for winning a sales opportunity using deep reinforcement learning

A data processing system, comprising:

• a processor;
• and
• a memory coupled to the processor to store instructions therein for training a prescriptive agent to prescribe actions for a task, which instructions when executed by the processor, cause the processor to perform operations, the operations including
• receiving, at a training platform, a simulated task, wherein the simulate task is associated with a plurality of attributes and one or more actions,
• receiving, at an environment in training platform, action information from a prescriptive agent to be trained, the action information including a particular type of action and a state of the simulated task,
• generating an indicator indicating whether the simulated task is associated with the type of action at the state of the simulated task,
• determining a change in the state of the simulated task, the state change being a change in one or more attributes of the simulated task,
• calculating a reward based on the generated indicator and the state change, and
• sending the reward and the changed state to the prescriptive agent.

A data processing system, comprising:

• a processor;
• and
• a memory coupled to the processor to store instructions therein for prescribing a next action for a sales opportunity using a prescriptive agent, which instructions when executed by the processor, cause the processor to perform operations, the operations including
• receiving a selection of a task from a list of tasks displayed on web interface, the selected task is in a particular state,
• providing the state of the task to a trained prescriptive agent as an input, wherein the prescriptive agent suggests an action to be taken given the state of the task, and
• displaying the action to a user who is to work on the task.