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The AI-powered sales coach

Introduction

The Pega Sales Coach uses self-learning adaptive models. The sales coach gathers sales data and uses the information to calculate performance scores for the sales representatives. The performance scores provide insights into how the sales representatives are performing. The sales coach continuously evaluates sales representatives and suggests action to improve performance.

Information  Insight  Action

Coaching life cycle

The sales coach bot that runs regularly creates a set of suggested coaching actions that a sales manager can start for the sales representatives in their team.

Suggested coaching actions, along with active coaching actions are displayed on the Sales coach landing page, which can be accessed from the navigation pane of the Sales Automation application.

Sales coach landing page of a sales manager

 

The manager can decide to start or ignore the suggested coaching action.

Coach and Ignore options for a Coaching action

To start a coaching action for a sales representative, the manager needs to complete the Follow up date and click Submit.

Coach dialog box

Once submitted, the coaching plan is displayed on the sales representative's Sales coach landing page, in the Active recommendations for rep table.

Sales coach landing page of a sales rep

The manager and the sales representative converse in the Pulse feed.

Pulse tab of a coaching action

If the manager is satisfied with progress of the sales representative, the manager can close the coaching plan. Alternatively, the manager can change the follow-up date to give the sales representative more time to improve.


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