Feature Level

Owned by Mike Deskis
Last updated: Jan 16, 2024 by Ioana Kocurova
4 min read

Overview

At the feature level, we are narrowing the contextual understanding of the category of features that comprise the bulk of abilities that are employed by business users and technical developers. At this level, we separate these features into multiple categories as described below. These categories (ie. functions, analytics, etc.) allow chatbot users to build prompt queries that will work in concert with the GenAI engine to identify and correlate all relevant content.

The information for each of these capabilities will include their capacity for customization, configuration, extensibility, scalability, security, and overall effectiveness in addressing our customer's pricing needs and business objectives.

Impact on GenAI

By categorizing the features of a software product, a generative AI system can gain a more structured understanding of the software's capabilities, functionalities, and potential use cases. This categorization can enable the AI system to generate more contextually relevant and accurate responses when queried about specific features or functionalities of the software product.

It enables the GenAI chatbot to better understand and identify all feature-specific queries within an identified capability (ie. quoting, rebates, optimization, etc.) that will lead to a relevant and accurate response from a chatbot.

Feature Level.jpg

 

At this level, we are focusing on the core features for a specific capability within the Pricefx solution:

  • Functions, core capabilities, and functionalities of a capability, like data requirements, primary user abilities, core processes, user interface, reporting, and automation.

  • Analytics, use of analytics and market insights to determine the optimal price for a product or service that balances revenue, demand, and competition.

  • Performance, aspects related to the capabilites of speed, reliability, scalability, and efficiency in executing tasks and handling data in support of core functions and actions.

  • Compatibility, advanced analytics, and reporting capabilities empower businesses to make data-driven decisions, optimize pricing strategies, and drive revenue growth.

  • Customizations, tailoring, and extending the Pricefx software to specific needs and preferences, often through configurable settings, templates, or extensibility options.

  • User Experience, elements and processes related to the a specific Pricefx capabilities usability, accessibility, and overall user interface design to enhance user satisfaction and productivity.

  • Integration, compatibility with other Pricefx capabilities, APIs, and platforms, enabling seamless data exchange and interoperability.

  • Security, ability to protect data, prevent unauthorized access, and ensure compliance with security standards and protocols.

GenAI Prompt Examples

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

Feature Prompt: "How does and actionable insights watcher improve decision making"

This feature prompt asks the GenAI chatbot to provide information about the Watcher capability’s within the Actionable Insights can improve decision-making. The response might look like this:

An Actionable Insights Watcher can improve decision-making in several ways:

  1. Automated monitoring: The Watcher automates the monitoring process, freeing up time for more strategic tasks, and ensuring that important trends and patterns are not overlooked.

  2. Early detection: The Watcher can detect trends and patterns in real-time, allowing for early detection of potential issues or opportunities, enabling proactive decision-making.

  3. Contextual insight: The Watcher provides contextual insight into the data, allowing for a deeper understanding of the underlying drivers of the trends and patterns, and enabling more informed decision-making.

  4. Actionable recommendations: The Watcher can generate actionable recommendations based on the trends and patterns detected, allowing for quicker and more effective decision-making.

  5. Collaboration: The Watcher can facilitate collaboration among team members by sending notifications and alerts, ensuring that everyone is on the same page and working towards the same goals.

In summary, an Actionable Insights Watcher can improve decision-making by automating monitoring, detecting trends and patterns, providing contextual insight, generating actionable recommendations, and facilitating collaboration.

Feature Prompt: "How does price optimization provide price guidance with quoting"