Future of Sales: AI Tools for Sales Prospecting (SF)
About This Course
This practical 2-day course teaches sales professionals how to integrate generative AI tools into their prospecting workflows to improve efficiency and results. Designed for those with beginner to intermediate sales experience, participants will develop competencies in AI-assisted market research, lead qualification, pricing analysis, and customer engagement—skills increasingly sought by employers as businesses adopt AI technologies. You'll learn to use ChatGPT, Claude, Gemini, and Perplexity to identify emerging markets, research potential clients, analyse sales patterns, and create targeted value propositions, reducing research time from hours to minutes whilst improving the quality of insights. As AI adoption accelerates across industries, professionals who can effectively combine traditional sales expertise with AI capabilities position themselves for career advancement, whether pursuing business development roles, sales management positions, or entrepreneurial ventures. The course addresses the growing need for sales teams to work smarter rather than harder, providing immediately applicable techniques that align with how modern businesses expect their sales functions to operate.
What You'll Learn
LO1: Analyse current and emerging market dynamics to identify viable business opportunities using AI-powered research tools.
LO2: Identify and create comprehensive potential customers by researching companies and their business needs.
LO3: Develop data-driven pricing and scoping recommendations for business opportunities based on insights from analysis of data, trends and patterns.
LO4: Design and maintain customer engagement strategies that leverage competitive advantages based on feedback from customers.
LO5: Create professional networking content and strategies to promote organisational offerings at for industry events.
Entry Requirements
• Candidates should have a post-secondary education or equivalent qualification to take this course.
• Have at least 1 year of professional working experience.
• Candidates who do not meet the above requirements will be assessed on a case-to-case basis.