Digital Assistant Intent Recommendation for ERP Complexity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Enterprise Resource Planning (ERP) systems face challenges in managing complex user interactions and providing efficient access to information for data-driven decisions due to their functionally heavy interfaces, which can overwhelm users with millions of entries.
Innovation Solution
A voice-activated digital assistant is configured with a decoupled framework that supports multiple data sources, uses natural language processing (NLP) for intent identification, and employs state diagrams to manage dialog, learning from user interactions to simplify access and provide contextual insights, enabling proactive applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If ERP systems provide integrated applications with millions of user entries, then comprehensive data access is achieved, but interface complexity increases and overwhelms users
Solution Approach 1:
A voice-activated digital assistant serves as an intermediary layer between users and the ERP system. The assistant processes natural language queries, translates them into system commands, and returns simplified results. This mediator shields users from the underlying complexity of millions of data entries while maintaining comprehensive data access capability.
Solution Approach 2:
The patent replaces traditional mechanical interaction methods (mouse clicks, menu navigation, form filling) with voice-based natural language processing. Users speak their intent instead of navigating complex interfaces, substituting the mechanical interaction paradigm with a more intuitive vocal interface that reduces perceived complexity.
2Adaptability or versatility
If ERP systems integrate multiple functions, then system versatility improves, but ease of operation decreases
Solution Approach 1:
The digital assistant is designed as a universal interface that handles multiple ERP functions through a single voice-activated entry point. Whether users need sales data, inventory information, or financial reports, the same voice interface accommodates all these diverse functions, making the versatile system easier to operate through consistent interaction patterns.
Solution Approach 2:
The patent segments the complex ERP system into manageable conversational interactions. Instead of requiring users to navigate through integrated but complex functional modules, the system breaks down operations into discrete voice commands and contextual dialog turns, making each interaction simple while maintaining access to comprehensive system functionality.
3Loss of information
If the system provides detailed information access, then decision-making capability improves, but information retrieval complexity increases
Solution Approach 1:
The digital assistant implements feedback loops where the system analyzes user voice queries, provides initial results, and engages in follow-up conversational exchanges to refine and clarify information. This feedback mechanism helps users navigate complex information landscapes by progressively narrowing down to the specific data needed for decision-making through natural dialog.
Data Source
AI summary
Systems and methods are provided for digital assistant configuration and functionality. For example, systems and methods provide for receiving a query from a user via a computing device, processing language in the query to identify a plurality of elements associated with the query, and analyzing the plurality of elements associated with the query to determine an intent of the query by mapping the plurality of elements associated with the query to a list of predetermined intents by comparing the plurality of elements associated with the query to each intent in the list of predetermined intents to generate a score for each intent in the list of predetermined intents. Systems and methods further provide for determining a subset of the predetermined intents based on the score for each intent in the list of predetermined intents, and providing recommendations related to the query based on the subset of predetermined intents.