New Willie Lohmann Moments Coming: Automating Sales with Generative AI

In Arthur Miller’s stage play Death of a Salesman, a weary Willie Lohmann mourns the death of the classic salesman “on a smile and a shoeshine”. If Willie Lohmann were alive today, he would lament the increasing level of self-service and automation in sales roles. In fact, one-fifth of his current sales team functions are ripe for automation with generative AI.

This is the crux of McKinsey’s research, which suggests that AI, especially generative AI, is changing the scope and capabilities of sales, adding a high degree of personalization delivered through both online and face-to-face channels. . Customer experience (CX), growth, and productivity are areas that could benefit from AI-driven processes. In customer experience, for example, “hyper-personalized content and services may be based on individual customer behavior, personas and purchase history,” suggest the report’s co-authors, led by Richelle Deveaux. there is “We can accelerate growth by leveraging AI to revitalize top-line performance and provide sales teams with the right analytics and customer insights to capture demand.”

See also Nearly every job will be influenced by generative AI

In terms of the productivity of tomorrow’s sales teams, “AI will offload and automate many mundane sales activities, freeing up the ability to spend more time with customers and prospects, while at the same time improving service. By reducing these costs, we can improve sales effectiveness and performance.”

According to a McKinsey survey on AI-powered sales and marketing, 90% of business leaders expect to use generational AI solutions “frequently” in the next two years. Additionally, the study suggests that companies that invest in AI for sales and marketing see a 3% to 15% increase in revenue and a 10% to 20% increase in sales ROI.

The most popular use case for generative AI is finding leads based on real-time customer trends, cited by 60% of executives. A majority of them, 55%, look to AI to optimize their marketing through SEO strategies and A/B testing. A half, 50%, recognize the potential of AI to facilitate the provisioning of dynamic content such as websites and marketing materials. Similarly, half are also looking to AI to enable cross-selling and up-selling opportunities.

The McKinsey team offers the following recommendations for leveraging generative AI in sales and marketing operations:

• Conduct production AI audits of commercial activities. “Evaluate your marketing and sales technology infrastructure and skill sets. Consider how open source or low-cost technology companies can help implement Gen AI use cases.”
• Identify easily achievable outcomes in the customer journey. “Look for simple, high-impact, low-cost, low-risk use cases (such as automating outreach emails to prospects) and put guardrails in place to limit risk.”
• Start a generative AI experiment. “Try two or three exciting use cases in a targeted part of the sales cycle (e.g. top of funnel). Track results and adjust towards broader implementation.”
• Train your sales team on the basics of generative AI to encourage experimentation. “We provide workshops on the fundamentals of generative AI to help teams better understand potential applications and start experimenting with confidence.”
• Establish generative AI guidelines for sales teams. “We will prohibit the input of sensitive customer data into our Gen AI tools and set high standards for output validation, especially when content is exposed externally.”

Generative AI even surpasses “traditional” embedded AI in many areas, DeVoe and co-authors say. “Gen AI goes beyond traditional AI-driven lead identification and targeting that uses web scraping and simple prioritization. Gen AI’s advanced algorithms leverage patterns in customer and market data to identify relevant You can segment and target your desired users.These features help businesses efficiently analyze and identify high-quality leads, leading to more effective and customized lead activation campaigns. “