Leveraging AI in Sales Training

AI offers the opportunity to transform sales training into an ongoing, flexible, and adaptive process, transforming learning into a continuous journey. AI systems can actively respond to the context, requirements, and behaviours of individual salespeople, providing real-time recommendations based on their present circumstances and past performance.

In this regard, AI-powered technologies can play a vital role in reversing the productivity decline by intelligently driving proactive sales behaviours. Unlike traditional learning platforms that employ pre-created, static content modules, AI enables a more flexible and continuous training process. Training no longer ends after completing a course; instead, it becomes an ongoing, adaptive, and evolutionary process. AI can actively respond to the context, needs, and behaviour of salespeople, making the entire sales lifecycle an opportunity for training and reinforcement.

The current state of the generative pre-trained transformer (GPT) large language models (LLMs) allows for the simulation of a personal assistant, providing immediate recommendations based on contextual information and an individual salesperson's past performance. This personalised approach enhances productivity and engagement in several ways:

● Shortening the distance between salespeople and their goals or quotas.
● Creating a focused and organised environment for salespeople with clear next steps tailored to their specific needs.
● Enabling in-the-moment training while completing tasks, integrating learning with practical application.
● Cultivating the independence and self-guided approach necessary for a remote work environment.
● Empathetically changing behaviours to enhance productivity by addressing salespeople's current challenges effectively.

To witness how this could work, one can explore OpenAI's chatbot, ChatGPT, which, when trained on industry-specific and company-specific information, can act as a live trainer with a higher degree of personalisation than a human training specialist who may be overwhelmed with multiple salespeople's needs.

In an age where the workforce expects technology to cater to them as their social media feeds do, this adaptation of training to reflect the present and near-future salesperson is a powerful approach.

However, AI has its limitations when it comes to sales training, primarily due to the nature of the sales process itself. Whether B2B software or retail goods, consumers typically prefer buying from real individuals who can understand and relate to their desires, questions, and concerns.

The human touch is valued, particularly during times of market uncertainty, economic inflation, and potential recession. Buyers seek sellers who comprehend the challenges of running a business, managing a family, and navigating current circumstances. The GPT chatbot can provide information and scenario-based suggestions, but it currently needs the ability to simulate genuine human interaction, and it remains to be seen whether consumers would embrace such an approach.

Furthermore, considering the potential risks associated with AI, regulations may be imposed in the near future, demanding clear labelling and transparency. Failure to comply could lead to a proliferation of harmful deep fakes. Consequently, consumers may require knowledge about whether they interact with AI or a human agent to ensure compliance with legal and ethical standards. Legislators might also introduce regulations that make it economically unfavourable to replace human sellers with their artificial counterparts. It is essential to acknowledge that while exploring AI for sales training, both the technology itself and the laws governing it might change in the coming years.

In navigating the uncertainty of the future, it is crucial to invest in the present and pay attention to the advancements in AI. While it may not be wise to make definitive bets on how AI will impact sellers in the future, it is reasonable to assess the possibilities available today. AI can currently enhance productivity by providing context-based suggestions, recommendations, and next steps to assist salespeople. By making informed inferences and investing wisely in the appropriate technology, sales training leaders can potentially outweigh the costs with a net positive impact, despite possible low margins and smaller returns for many companies.

While the extent of the AI revolution remains uncertain, focusing on sales training can pave the way for innovative solutions to combat declining productivity. By embracing AI as a tool for ongoing learning, sales organisations can enhance productivity, adapt to changing circumstances, and drive better sales outcomes in an evolving business landscape.