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.
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:
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.
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.
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.
Actionable recommendations: The Watcher can generate actionable recommendations based on the trends and patterns detected, allowing for quicker and more effective decision-making.
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"
This feature prompt asks the GenAI chatbot to identify how Price Optimization integrates with Quoting to generate pricing guidance. The response might look like this:
The Quoting module in Pricefx allows for Price Optimization-driven pricing guidance with quoting. Price Optimization, previously known as PO.AI, is an AI-powered capability within Pricefx that examines market data and other factors to suggest optimal prices for products or services. This information can now be incorporated into the quoting process through the Quoting module's access to the Price Optimization engine.
By utilizing the Optimization model results within the Quoting module, users can receive precise pricing guidance based on current market dynamics, such as competitor pricing and demand fluctuations. This enables users to create quotes that are informed by real-time market data and better reflect the product's value.
The Quoting module also offers negotiation support, enabling users to assess the effects of price modifications based on the Optimization model's results. This facilitates more informed price negotiations and helps ensure that the final agreed-upon prices are optimal and aligned with market conditions.
In summary, Price optimization provides pricing guidance with quoting in Pricefx by integrating the Optimization model results directly into the quoting process, allowing users to create quotes based on current market data and dynamics.
Feature Prompt: "What are the dashboards delivered with customers insights accelerator"
This capability prompt asks the GenAI chatbot to identify the specific dashboards that are installed with the Customer Insights Accelerator. The response might look like this:
The Customer Insights Accelerator delivers the following dashboards:
Customer Global View: Displays a summary of customer data across all products and time levels.
Customer Product Portfolio: Provides a detailed view of customer segments and their respective product usage.
Customer Summary: Offers a quick overview of customer data, including revenue, margin, and volume trends.
Detail View: Allows for in-depth analysis of customer data, including time-series analysis and data drill-down.
These dashboards offer various features such as time-series analysis, data drill-down, and classification of customers based on their health scores. Additionally, the accelerator includes new features like Customer Summary portlet and improvement in the Customer Detail View.