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.

Abstract: Presented are systems and methods for analyzing a sales process workflow to increasing sales productivity. In embodiments, the system comprises a sales person activity recorder that monitors and records sales-related data according to one or more data categories from one or more data sources; a prospect activity recorder coupled to the sales person activity recorder, the prospect activity recorder monitors and records an interaction associated with a sales prospect; and an analytics processor coupled to the sales person activity recorder, the analytics processor synchronizes sales-related data from one or more data sources, and analyzes, based on at least the interaction, some or all of the data to obtain a result, the analytics processor generates and outputs, based on the analysis, a result that comprises at least one of a progress report, a ranking of prospects, and a sales performance score.