Conceptual Level

Owned by Mike Deskis
Last updated: Sept 09, 2024 by Ioana Kocurova
6 min read

Overview

At this level, the focus is on capturing the fundamental ideas and principles that underpin the domain of knowledge being represented. This includes defining key concepts, establishing semantic relationships, and creating a framework for organizing and accessing information within the knowledge base. In essence, the conceptual level sets the stage for more detailed and specific knowledge representation and retrieval.

Impact on GenAI

It refers to a higher abstraction or representation of knowledge and understanding within the model. At this level, the AI system interprets information in a more abstract and generalized manner, allowing it to capture overarching concepts, relationships, and patterns in the data it has been trained upon.

Conceptual Level.jpg

At this level, we are seeking information on broad-based concepts and topics:

  • Concepts, providing information on high-level conceptual topics using a “what is…” scenario

  • Roles, seeking information on specific types of roles (ie. price analysts, developers, etc) and their interaction with Pricefx

  • Capabilities, searching for responses on the overall capabilities of the Pricefx solutions or products and its ability to perform certain functions.

  • Platform, provide information on the variety of platforms

  • Product, searching for information on the variety of products from Pricefx and their abilities and functions

  • Journey, seeking information about specific types of journeys (ie. customer, partner, business user, etc.) and the steps involved to achieve certain goals.

GenAI Prompt Examples

Below are some examples of GenAI prompts that are operating at this Conceptual level of contextual understanding:

Conceptual Prompt: "What are the steps in the creation of a pricing solution

This conceptual prompt asks the GenAI chatbot to provide the journey involved in the development of a pricing solution. The response might look like this:

To create a pricing solution, consider the following steps:

  1. Understand the business objectives and goals: Identify the key performance indicators (KPIs) and success metrics for your organization. This will help you determine the purpose and scope of your pricing solution.

  2. Analyze market conditions: Research your competitors, target audience, and industry trends to determine the optimal pricing strategy. This may involve analyzing market share, customer segmentation, and price sensitivity.

  3. Develop a pricing strategy: Based on your analysis, create a pricing strategy that aligns with your business objectives and market conditions. This may involve setting price points, discounts, or other pricing tactics.

  4. Define the product/service catalog: Create a list of products or services offered, including their features, attributes, and price points.

  5. Set up pricing logic: Define the pricing rules and calculations for each product or service, including any discounts, price tiers, or volume discounts.

  6. Integrate with other systems: Incorporate your pricing solution with other business systems, such as CRM, ERP, or e-commerce platforms, to ensure seamless data flow and accuracy.

  7. Test and refine: Test your pricing solution with a pilot group and refine as necessary based on feedback and performance metrics.

  8. Train and communicate: Provide training and support to your team, including sales, marketing, and customer service, to ensure a successful rollout and ongoing management of your pricing solution.

By following these steps, you can create a comprehensive pricing solution that aligns with your business objectives, market conditions, and customer needs.

Conceptual Prompt: "What are the primary benefits of a Pricefx pricing solution"