Use AI to Grow B2B Sales Revenue and Optimize Costs
AI-based technologies have improved with time, but application leaders are struggling to create strategies to deploy them.This Gartner report shows you how touse AI to boost revenue, lower costs, and minimize risk.
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Grow your revenue
Assess AI for increasing revenue, including natural language AI to lower costs.
Identify AI use cases based on customer, business, and/or corporate objectives.
Improve market share
Identify which will deliver the best business value based on maturity and feasibility.
It’s time to embrace the future of sales revenue growth.
AI-based technologies are everywhere, and that can be overwhelming for B2B organizations that want to boost their revenue, reduce costs, and improve market share. There are so many questions:
Why implement AI in sales?
Which solutions do what they’re billed to?
How can you tell which will provide the most value?
Why does a solution’s maturity matter?
How do you implement them to get the best results?
This report explores how AI-based technologies are impacting B2B sales operations and how to create strategies for implementation.
AI Is Imperative to B2B Sales Success
Looking for more information about AI technologies that can support B2B sales organizations in driving revenue growth and decreasing costs?
This Gartner® report is for you. A few key takeaways:
When applied to B2B sales cycles, AI has distinct use cases compared to B2C sales.
Insights uncovered by ML and AI help sales teams smooth the sales process and showcase where changes to the sales process might be needed.
Business value examples for sales include increased cross-sell and upsell revenue, optimized pricing strategy, and improved forecasting accuracy.