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  • November–December 2022
  • Article
  • Harvard Business Review

Can AI Really Help You Sell?

By: Jim Dickie, Boris Groysberg, Benson P. Shapiro and Barry Trailer
  • Format:Print
  • | Pages:10
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Abstract

Many salespeople today are struggling; only 57% of them make their annual quotas, surveys show. One problem is that buying processes have evolved faster than selling processes, and buyers today can access a wide range of online resources that let them evaluate products before even meeting a salesperson. AI tools can help organizations close the gap, but most don’t know how to use them effectively. In this article the authors describe how sales AI has been a real game changer at a few companies. They also pro­vide a self-assessment tool, the Sales Success Matrix, that will show sales leaders where to start or improve their AI journeys.

The matrix has two dimensions: relationship level (which runs from transactional vendor on the low end to trusted co-creator at the top) and process level (which runs from ad hoc to customized). At the lower levels of both relationships and processes, simple AI that decreases costs and improves efficiency works best. In the middle levels, advanced AI increases sales effectiveness by analyzing opportunities and customer needs. At the highest level, cutting-edge technologies help firms generate deep insights about customers.

No matter where a firm falls on the matrix, AI can help it boost sales. And the sooner and more broadly it applies AI tools, the better they work.

Keywords

Sales; AI and Machine Learning; Customers

Citation

Dickie, Jim, Boris Groysberg, Benson P. Shapiro, and Barry Trailer. "Can AI Really Help You Sell?" Harvard Business Review (November–December 2022): 120–129.
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About The Authors

Boris Groysberg

Organizational Behavior
→More Publications

Benson P. Shapiro

→More Publications

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