Abstract: Presented are end-to-end sales acceleration systems and methods that aid sales people in each phase of the sales process to make sales-related decisions that save time and, ultimately, increase revenue. In various embodiments, this is accomplished by monitoring a sales process and taking advantage of a knowledge database and machine learning to provide sales process recommendations, automation, and analytics throughout the entire sales lifecycle. Task identification and automation allows sales people to carry out the recommended tasks in each step of the sales process with less effort, thereby, improving sales efficiency and performance while minimizing cost.