AIPSAI-Powered Sales
Course Overview
Artificial Intelligence is transforming how organizations manage sales operations, engage customers, and drive revenue growth. AI technologies enable sales teams to analyze customer data, automate routine tasks, and generate predictive insights that improve decision-making and sales performance.
This three-day course on Artificial Intelligence for Sales introduces participants to how AI can support
Key Takeaways
In today’s rapidly evolving world, AI and Blockchain technologies are transforming industries, but the skills gap is widening. Millions struggle to find accessible, real-world certification programs that truly prepare them for the future of work. The challenge is clear: How do we upskill global talent with relevant, practical knowledge that keeps pace with innovation? At AI CERTs®, we saw this urgent need and decided to act.
The Spark: Why AI CERTs® Was Born
We believe talent is everywhere, but opportunity is not. Our founders witnessed a common barrier: future-ready education in AI and Blockchain was often locked behind complicated, expensive, or outdated courses. That’s why AI CERTs® was created to offer role-based trusted artificial intelligence certificate programs and blockchain certifications that are accessible to every learner, no matter if they have a tech background or not.
Course Outline
•Topics: AI fundamentals, Machine Learning and predictive analytics in sales, NLP and conversational AI, evolution of AI in sales operations, AI-driven revenue growth and customer engagement.
•Exercise: Map the sales funnel and identify stages where AI can automate or enhance activities.
•Topics: Types of sales data (CRM, behavioral, market), data collection techniques, CRM data management, data privacy and ethics, transforming data into actionable insights.
•Workshop: Analyze sales data scenarios and identify insights that improve conversion rates.
•Topics: Machine learning models for sales prediction, predictive analytics for lead scoring, NLP chatbots, recommendation engines, automation tools in sales processes.
•Case Study: Examples of companies using AI to improve sales performance and customer engagement.
•Topics: AI-enabled CRM platforms, lead scoring and prioritization, customer behavior analysis, personalization of interactions, automation of customer communication.
•Workshop: Design an AI-enhanced CRM workflow for lead management.
•Topics: Importance of accurate forecasting, predictive models, time series analysis, identifying sales patterns and trends, measuring forecasting accuracy.
•Exercise: Evaluate forecasting scenarios and propose improvements using AI.
•Topics: AI-driven lead generation, automated email marketing, customer segmentation, social media analytics for sales insights, sales opportunity management.
•Deliverable: Create an AI-enhanced sales pipeline model.
•Topics: Bias in AI-driven decisions, fairness and transparency in algorithms, ethical data collection, compliance and regulatory considerations.
Discussion: Ethical challenges in AI-driven customer targeting.
•Topics: Data-driven revenue strategies, dynamic pricing insights, AI-based personalization strategies, optimizing customer journeys with AI.
•Exercise: Design a data-driven sales strategy using AI insights.
•Topics: Assessing AI readiness, selecting AI tools, building AI capabilities in sales teams, pilot projects and scaling adoption, measuring ROI of AI initiatives.
Who Should Attend?
Sales Managers
Business Development Managers
Key Account Managers
Sales Operations Managers
CRM Managers
Digital Marketing Managers
Sales Analysts