Conversational Business Tool for Real-Time Supply Chain Insights
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Solution Overview
Problem
Existing business data presentation methods, such as paper reports, phone/email communication, and interactive dashboards, are inflexible, require trained skills to interpret, and do not provide real-time, relevant insights, hindering efficient decision-making in supply chain management.
Innovation Solution
A conversational business tool using Natural Language Processing (NLP) and intelligent analytics to deliver up-to-date, relevant business insights in a conversational manner, integrated with a supply chain planning platform for rapid processing and scenario simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If paper reports are used to present business data, then data can be documented and distributed, but the reports are inflexible, require manual updates, and cannot be filtered or explored dynamically
Solution Approach 1:
The patent implements dynamic reporting by replacing static paper reports with interactive digital dashboards that automatically update in real-time. The system allows users to dynamically filter, drill down, and explore data through clickable visualizations, transforming fixed documents into adaptive information interfaces that respond to user interactions and automatically reflect current business metrics.
2Quantity of substance
If detailed business data is provided in reports, then comprehensive information is available, but irrelevant details obscure important aspects and insights
Solution Approach 1:
The patent applies segmentation by organizing comprehensive business data into hierarchical levels of detail. The system presents high-level summary metrics at the top level and allows users to drill down into specific segments (e.g., by product, region, time period) only when needed. This segmented approach maintains data completeness while preventing information overload through progressive disclosure.
Solution Approach 2:
The system extracts and highlights only the most relevant insights and key performance indicators from the comprehensive data set. Through intelligent filtering and prioritization algorithms, the dashboard surfaces critical information (such as metrics below targets or unusual trends) while relegating less important details to secondary visibility, thereby improving interpretability without losing underlying data completeness.
3Ease of manufacture
If visualizations and graphs are used to present data, then data can be visualized, but trained skills are required to interpret meaningful results
Solution Approach 1:
The patent introduces an intermediary layer of natural language processing and automated insight generation between the raw data visualizations and the user. The system automatically generates plain-language explanations of trends, anomalies, and key findings, translating complex graphical data into accessible narrative form. This intermediary mediation eliminates the need for users to possess specialized visualization interpretation skills while maintaining rich data presentation capabilities.
4Adaptability or versatility
If interactive dashboards are used to display business metrics, then data can be filtered and modified, but fitting all relevant information on the screen becomes challenging
Solution Approach 1:
The patent implements a nested information architecture where the main dashboard screen contains summary-level metrics and key indicators. Upon user interaction (clicking or hovering), additional detail levels are nested within or adjacent to the selected elements, allowing comprehensive information to be accessed without cluttering the primary view. This nested structure enables unlimited data exploration while maintaining a clean, focused main screen real estate.
5Reliability
If phone or email communication is used to report business metrics, then up-to-date information can be provided, but human resources are consumed and results may be delayed
Solution Approach 1:
The patent implements self-service automated reporting where the system autonomously collects, processes, and presents business metrics without requiring human data scientists or analysts. The dashboard automatically queries data sources, calculates key performance indicators, detects anomalies, and generates insights in real-time, eliminating dependency on human resources for routine metric reporting while maintaining continuous up-to-date information availability.
Data Source
AI summary
A business analytics conversational tool comprising: a device comprising a communication channel, a natural language processor (NLP), a fulfillment application program interface (F-API), a database application program interface (D-API), and a business management database; wherein: the NLP receives a user-input from a user through the communication channel; the NLP deduces an intent of the user-input; the NLP communicates the intent to the F-API; the F-API communicates a request for data associated with the intent to the database via the D-API; the D-API communicates the data associated with the intent to the F-API; the F-API converts the data associated with the intent to conversational form and sends the conversational form for voice output through the communication channel.