MULTI-SERVICE BUSINESS PLATFORM SYSTEM HAVING CUSTOM WORKFLOW ACTIONS SYSTEMS AND METHODS

Smart overview of the Invention

The patent application describes a multi-service business platform that utilizes artificial intelligence and machine learning (AI/ML) to automate content development and enhance enterprise functions. The system acts as an AI/ML copilot, receiving natural language commands via a chat interface. These commands are interpreted to determine user intent, leading to the generation and execution of programming code that interacts with CRM databases to produce relevant content. This process aims to streamline complex business tasks by integrating various data sources and systems.

Background

Businesses often face challenges in managing and integrating diverse data sources, which are necessary for informed decision-making. Traditional methods require extensive manual effort to query databases, transform data formats, and synchronize information across multiple platforms. The proposed system addresses these inefficiencies by providing a more seamless approach to data management, reducing the need for manual intervention and allowing businesses to focus on strategic activities.

System Functionality

The platform improves upon existing computer systems by offering personalized, context-dependent search capabilities that prioritize content based on user identity, demographics, and online behavior. It leverages large-scale analysis of online content to create intelligent associations and optimize search engine rankings. The system supports content strategy development by analyzing existing enterprise content, generating clusters of related topics, and suggesting new content areas that align with business goals.

Integration with Enterprise Systems

The platform integrates content management system (CMS) functionalities with customer relationship management (CRM) systems, facilitating shared access to database records. It includes automated crawlers and parsers that analyze primary online content objects, generating key phrases and content clusters using advanced models like word2vec and latent semantic analysis. This integration allows enterprises to generate relevant content without relying solely on keyword-based techniques.

Applications and Benefits

The system provides tools for developing online presence strategies, helping enterprises identify and explore relevant topics for customer engagement. By automating the discovery of conversation topics, it supports various business functions such as marketing, sales, and customer service. The platform's ability to suggest new topics based on semantic analysis enables enterprises to differentiate themselves while maintaining relevance to their core content. This approach enhances customer interactions across multiple channels, including websites, social media, and direct communications.