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Course Outline

Module 1: Introduction to Artificial Intelligence in Sales

  • Defining AI and its role in transforming the commercial landscape.
  • Essential AI tools and concepts for sales professionals.
  • Practical examples: identifying where AI delivers immediate value in sales workflows.

Module 2: Enhancing Productivity with AI Tools

  • Automating routine administrative and communication tasks.
  • Utilizing AI assistants and chatbots for internal and external interactions.
  • Templates and prompt patterns for standard sales communications and follow-ups.

Module 3: Data Preparation and Market Intelligence

  • Structuring sales and market data for analysis (including cleaning, enrichment, and integration).
  • Leveraging Excel and ChatGPT to extract insights and synthesize qualitative data.
  • Introduction to Power BI for connecting datasets and generating rapid reports.

Module 4: Predictive Analytics for Sales and Market Behavior

  • Simple forecasting methods and their application to short-term demand (1–4 weeks).
  • Applying Excel’s built-in forecasting and AI-assisted capabilities.
  • Interpreting model outputs and conveying uncertainty to stakeholders.

Module 5: Route to Market and Competitive Analysis

  • Employing AI for competitive intelligence and market scanning.
  • Segmenting customers and prioritizing accounts using AI-driven heuristics.
  • Practical case study: extracting competitive keywords, positioning strategies, and opportunity signals.

Module 6: Building Dashboards and Visual Reports

  • Design principles for effective sales and market dashboards.
  • Hands-on creation of Power BI visuals for sales KPIs, pipeline health, and market trends.
  • Embedding narrative insights through AI-assisted summaries and highlights.

Module 7: Practical Applications and Case Studies

  • Real-world use cases from leading organizations and SMEs.
  • Discussion: mapping similar tactics to participants’ specific business contexts.
  • Group exercise: adapting a case study to your operational environment.

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

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

Module 9: Adoption and Next Steps

  • Checklist for deploying AI workflows in sales teams (covering data, roles, and governance).
  • Quick-start templates, prompts, and dashboard packs for participants to reuse.
  • Roadmap for scaling AI-assisted sales practices and measuring impact.

Requirements

  • A working knowledge of fundamental sales and marketing principles.
  • Proficiency in using Excel or similar spreadsheet applications for data management.
  • Basic experience with dashboards or reporting tools is advantageous but not mandatory.

Target Audience

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

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