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Course Outline

Module 1: Introduction to Artificial Intelligence in Sales

  • Defining AI and its impact on the commercial sector
  • Essential AI tools and concepts for sales teams
  • Practical examples: identifying where AI creates immediate value in sales workflows

Module 2: Enhancing Productivity with AI Tools

  • Streamlining routine administrative and communication duties
  • Employing AI assistants and chatbots for internal and external engagements
  • Templates and prompt structures for standard sales correspondence and follow-ups

Module 3: Data Preparation and Market Intelligence

  • Organizing sales and market data for analysis, including cleaning, enrichment, and integration
  • Leveraging Excel and ChatGPT to derive insights and consolidate qualitative data
  • Introduction to Power BI for linking datasets and generating rapid reports

Module 4: Predictive Analytics for Sales and Market Behavior

  • Basic forecasting techniques and their application to short-term demand (1–4 weeks)
  • Utilizing Excel’s native forecasting and AI-assisted features
  • Interpreting model results and conveying uncertainty to stakeholders

Module 5: Route to Market and Competitive Analysis

  • Applying AI for competitive intelligence and market surveillance
  • Segmenting customers and prioritizing accounts using AI-driven heuristics
  • Practical case study: extracting competitive keywords, positioning strategies, and opportunity indicators

Module 6: Constructing Dashboards and Visual Reports

  • Design principles for high-impact sales and market dashboards
  • Practical session: generating Power BI visuals for sales KPIs, pipeline status, and market trends
  • Integrating narrative insights through AI-generated summaries and key highlights

Module 7: Practical Applications and Case Studies

  • Real-world examples from major enterprises and small-to-medium businesses
  • Discussion: mapping similar strategies to participants’ own business contexts
  • Group activity: adapting a case study to specific operational environments

Module 8: Hands-on Session — Developing a Simple Workflow

  • Guided practice with ChatGPT, Excel (AI features), and Power BI using a sample dataset
  • End-to-end exercise: data intake → insight creation → dashboard development → action checklist
  • Presentation of workflows and peer review feedback

Module 9: Adoption and Future Steps

  • Checklist for implementing AI workflows in sales teams, covering data, roles, and governance
  • Quick-start templates, prompts, and dashboard packages for participant reuse
  • Strategic roadmap for scaling AI-assisted sales practices and tracking impact

Requirements

  • Understanding of fundamental sales and marketing principles
  • Proficiency in using Excel or similar spreadsheet applications for data management
  • Basic knowledge of dashboards or reporting platforms is beneficial, though not mandatory

Target Audience

  • Sales representatives and account managers
  • Marketing analysts and business development personnel
  • Product managers, commercial strategists, and key decision-makers
 14 Hours

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