Integrating Conversational Artificial Intelligence into the Sales Cycle (e-learning)

This training enables participants to adapt to a constantly evolving professional environment. Thanks to AI, they will be able to improve their sales performance, boost their productivity, and effectively integrate conversational artificial intelligence into their sales cycle.

This training course enables participants to adapt to a constantly evolving professional environment. With the help of AI, they will be able to improve their sales performance, boost their productivity and effectively integrate conversational AI into their sales cycle.

This training prepares for the final examination of the certification “Integrating conversational artificial intelligence into the sales cycle” registered with France Compétences under number RS6792. The final remote examination is mandatory. The certifying body is Online Sales Success. Upon completion of the training, the trainee commits to taking the examination for certification.

As this vocational training course leads to a qualification, it may be funded by the CPF. Any course that does not fall within the scope of Article L6313-1 of the Labour Code is not eligible for funding under this scheme.

Learning Objectives

Understand the fundamentals of Artificial Intelligence (AI) and its impact on the organization of sales work.
Identify when in the sales cycle AI can assist sales professionals.
Learn how to formulate effective prompts to interact with AI and how to refine them to obtain more relevant results in the sales process.
Discover and master AI tools to automate and optimize sales management tasks.
Learn to use AI to improve sales prospecting.
Create impactful and professional sales presentations using AI tools.
Apply these skills through interactive workshops and real-world scenarios.
Ensure compliance with data protection and ethical standards by verifying that planned measures align with European and international regulatory frameworks, thus ensuring a compliant implementation of the transformation project.

Target Audience and Prerequisites

Target Audience
This training is intended for inside sales representatives or freelance sales professionals working independently or within a company, as well as for business leaders for whom sales is not their primary activity, and who wish to leverage artificial intelligence to save time and improve efficiency in their advisory approach with prospects throughout the sales cycle.
Prerequisites
Mandatory interview and knowledge test with an advisor.
Candidates must demonstrate sales knowledge.

Duration

16 hours of training: 8 hours of e-learning, 4 hours of live sessions, 2.5 hours of exercises + quizzes, and 1.5 hours of learning materials.

Training Modalities

The training is delivered remotely. It includes e-learning modules with videos, course materials, and practical exercises on the Digiforma platform, as well as sessions via a video conferencing platform.

Targeted Skills

Upon completion of this training, participants will be able to:

To optimize their daily productivity by automating sales management tasks.
To identify the relevance of AI in the sales cycle and when to use it.
Learn to formulate clear and effective prompts to interact with AI tools such as ChatGPT and refine them to improve sales results.
Improve the efficiency of their sales actions (prospecting and follow-up).
To automatically generate polished and professionally designed sales presentations.
To understand French, European, and international AI regulations.

Teaching Methods and Resources

E-learning videos: presentation of key concepts and demonstration of AI tools.
Case Studies: Analysis of concrete situations to illustrate the impact of AI on work organization in the commercial sector.
Practical exercises: Scenarios and interactive workshops to apply the concepts discussed.
Learning Assessment: Quizzes are provided during the training to measure knowledge assimilation. A final assessment takes place at the end of the training.
Summative Assessment: Assessment by the certifying body RS6792 with a practical scenario.

Disability Policy, Access Procedures and Deadlines

Disability Policy:
In case of disability, contact our disability coordinator: contact@french-techfactory.com
Registration Procedures:
Registration by interview, project analysis, and placement test.
Applications are open throughout the year.
Access Timeframe:
Access to the training will be sent after the expiration of your legal withdrawal period.

Pricing

The price of this training is €1,650 (excluding VAT) for 16 hours of remote e-learning training.
This rate includes access to online educational tools, personalized training materials, practical workshops allowing direct application of the concepts covered, and assessments to ensure proper assimilation of the teachings.

*VAT not applicable under article 261.4.4 of the CGI.

Training Content

Session 1: What is AI?
Difference between AI and automation.
The history of AI
The role of AI in the sales cycle: the value chain principle + the sales cycle: each stage shows how AI can be applied
Future prospects of AI and key figures: Schumpeter’s principle of creative destruction + statistical data.
French & European AI regulations

International AI regulations
Knowledge assessment quiz.
Session 2: AI in the sales cycle
The traditional sales cycle
Which AI impacts which part of the sales cycle?

  • Table of different AI tools impacting each stage of the sales cycle.
  • AI output results for each use case.
  • Short-, medium-, and long-term gains of these results on sales/revenue.

Setting KPIs to measure AI’s impact on sales performance
Workplace simulation (1 hour)
Knowledge assessment quiz.
Session 3: Using AI in the sales cycle value chain
What is a prompt?
The different detailed steps of a prompt: the Alfred method (precise avatar, precise positioning, etc.).
How to write a high-quality prompt using the AlFred method (examples of prompts and responses from leading AI systems)
Correcting a prompt to obtain a more effective response.
Practical applications of the main AI tools in the most common business scenarios (ChatGPT, MidJourney, etc.)
Measuring gains in sales efficiency within the sales cycle through the use of AI.
Workplace simulation (1 hour)
Knowledge assessment quiz
Session 4: Automating market intelligence and administrative tasks
Automating commercial administrative processes using AI
Create a sales workflow entirely managed by AI
How can you use AI to manage your market intelligence?
Fix bugs
Knowledge assessment quiz
Session 5: Hands-on AI practice (live session).
AI tools demo (ChatGPT, Gamma, Fireflies, etc.).
Guided hands-on session.
Prompt creation.
Practical cases (sales cycle).
Session 6: Review & Certification Preparation (live session)
Review of the 2 practical case studies
Individualized feedback
Clarification of key e-learning points
End-of-training quiz
Discussions / Q&A
Certification preparation

Learning Assessment Procedures and Results Validation

Upstream: placement test
Formative assessment: practical application by the trainee and exam preparation + knowledge assessment through MCQs at the end of each module
Satisfaction: immediate feedback, then follow-up feedback 1 month after the training
Summative assessment: evaluation by the RS6792 certifying body with the practical case described below
Validation: issuance of an individual certificate

Final Assessment Procedures (Summative Assessment)

Assessment Method 1:
Case study and presentation before a jury

The case study is drawn from 10 possibilities renewed monthly:

The case study focuses on an innovative company in the retail sector that wishes to optimize its sales processes by integrating artificial intelligence (AI) into its activities.

Elements required from the candidate:

Identify professional situations or sales activities where Artificial Intelligence (AI) adds value.
Formulate a query for AI software to obtain a relevant and actionable response by adapting to the platform and the objective of the query.

Duration: 1 hour to prepare both tasks.

Presentation of the learner’s work to the jury for 10 minutes

Weighting: 3

Assessment Method 2:
Case study and presentation before a jury

The case study is drawn from 10 possibilities renewed monthly:

The case study focuses on suboptimal queries to an Artificial Intelligence

Elements required from the candidate:

Analyze the prompt provided to the AI
Identify missing steps
Propose improvements to obtain a more relevant response

Duration: 30 min to prepare the tasks

Presentation of the learner’s work to the jury for 5 minutes

Weighting: 2

Assessment Method 3: Multiple-choice questionnaire (MCQ)
Number of questions: 10 selected from a pool of 20 questions (updated monthly)

Minimum correct answers required: 70%

Duration: online, asynchronous quiz

Weighting: 1


Material Resources

Training Materials:
Training materials are provided to each participant, enabling learners to revisit the content covered during the training.

Technical Support Arrangements

To ensure an optimal learning experience, technical support is available to resolve any difficulties encountered when connecting to the training or using the video conferencing platform. In case of connection issues or technical difficulties, the trainer can be contacted by email, SMS, or WhatsApp. This assistance will quickly resolve any difficulties related to accessing sessions or using online tools, thus ensuring the continuity of the training.

Details of academic support

Educational support is also provided to answer questions related to the training content. Should clarification or further details be needed on the concepts covered, the trainer will be available by email, SMS, or WhatsApp. This system aims to ensure personalized follow-up and to ensure that the teachings are well understood and integrated into the learners’ professional context.

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