AI Sales Assistant

The onboarding process for B2B sales professionals is traditionally lengthy and inefficient, often taking upwards of six months to reach full productivity. This results in significant revenue losses and reduced competitiveness. Current AI models in sales onboarding lack contextual understanding and fail to deliver systematic, measurable outcomes that align with the nuanced demands of B2B sales processes.
Significance:
By addressing these challenges, MARVL aims to revolutionize the B2B sales onboarding experience, potentially saving millions in lost revenue and setting a new standard for AI application in sales training. This has significant implications for the future of workforce development and the integration of AI in the business process.
Objectives:
To develop AI models that understand and adapt to the complexities of B2B sales scenarios, providing relevant and actionable insights.
To create a systematic framework for generating measurable and repeatable outcomes from AI, using data from CRMs and sales playbooks.
To validate the effectiveness of these models in reducing onboarding time and improving sales performance.

Faculty Supervisor:

Norah McRae

Student:

Partner:

Marvl Technologies Inc.

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Waterloo

Program: