Enterprise Knowledge Engine

Built upon BytePlus's proprietary large language model and big data technology system, it targets various enterprise intelligent Agent application scenarios, providing structured and unstructured multimodal knowledge and offering end-to-end knowledge management and application capabilities from access, processing, modeling, mining to application. It can widely support the implementation of business scenarios such as intelligent knowledge Q&A, product recommendation and marketing, and knowledge summarization and analysis, helping enterprises deeply mine and transform the value of their global knowledge assets in the era of large models.

• 【Broad Coverage: Multi-source, Multimodal, Universal Access】​Supports access to 40+ data sources and multimodal content, enabling unified management of internal data, external knowledge, and public domain data, achieving 'Access once, reuse across all scenarios.'
• 【Deep Understanding: Strong AI Processing and Knowledge Modeling】​Equipped with 50+ data processing operators and visual preprocessing capabilities, supports flexible slicing, GraphRAG, knowledge graphs, ontology modeling, and multi-hop reasoning, making knowledge connectable, discoverable, and enabling inference.
• 【Accurate Querying: Configurable and Optimizable Intelligent Q&A】​Supports knowledge classification management, recall testing, multi-turn dialogue, context memory, and Q&A strategy optimization, significantly reducing hallucinations and improving answer accuracy and business relevance.
• 【Wide Application: Open and Easy Integration, Compatible with Various Agents】​Provides full-chain API and plugin capabilities, enabling rapid integration with enterprise systems and various Agent platforms, achieving permission isolation and multi-Agent sharing of the same knowledge base, avoiding redundant construction.
• 【Controlled Management: Enterprise-level Security and Permission Control】​Supports document-level, field-level, and row-level permissions, version management, lifecycle, operation auditing, and data masking, meeting enterprise compliance, confidentiality, and security control requirements.

• For vertical Agent scenarios, it is recommended to use in conjunction with the Marketing Interaction Assistant.
• For research report scenarios, it is recommended to use in conjunction with the Analysis Agent.

Overview of the Enterprise Knowledge Engine

Marketing Interaction Assistant

A conversational marketing hub integrating real-time customer profile insights and an AI decision engine enables intelligent interaction across all scenarios—from customer needs analysis and benefit recommendation to profile updates—through purchase intent identification, intelligent script generation, precise product recommendation, and end-to-end task automation. Closed-loop management with multi-system collaboration enhances customer conversion efficiency and management refinement.

• Purchase Intent Recognition: Real-time parsing of user conversations to automatically identify high-intent customers, improving the accuracy of business opportunity capture.
• Real-Time Customer Profiling: Real-time display of customer profiles to assist Sales representatives in responding.
• Automated Script Generation: Intelligently deduce personalized communication strategies and generate expert-level scripts within seconds, enhancing conversation conversion rates.
• Intelligent Product Recommendation: Real-time customer entitlement inquiry and intelligent recommendation of products/entitlements to efficiently drive conversions.
• Intelligent Session Analysis: Supports session quality analysis, conversion rate analysis, and detailed queries to improve Session Management efficiency.

The Marketing Interaction Assistant can be purchased independently according to the scenario. The following are three common cases:

• Customer Service/Sales Guidance Scenario: Requires integration with the VeCDP product base.
• Knowledge Q&A Scenario: Does not rely on the VeCDP product base.
• Session Analysis Scenario: Requires integration with the VeCDP product base.

• Marketing Interactive Assistant Overview
• Overview of the Enterprise Knowledge Engine
• (不发布)Session Insights Operations

Unstructured Data Labeling

A business empowerment tool that supports intelligent processing of multimodal data, helping enterprises integrate unstructured data from multiple channels and convert unstructured data such as text, voice, images, and video into standardized business labels.

• Unstructured Data Integration and Storage: Supports integration of unstructured data through document, object data, and direct connection to enterprise WeChat, with flexible storage strategies to fully meet various data storage needs.
• Unstructured Data Mining: Extract labels, key behaviors, and multi-subject relationships from both public and private domain unstructured data, and leverage content and behavioral tracking to gain deep insights into customer purchase interests and product intent.
• Knowledge Base Management: For customer communication scenarios, equipped with both enterprise and customer knowledge bases, enabling service providers to be well-versed in internal knowledge while gaining deep customer understanding, thereby delivering a superior communication experience and service.
• Data Empowerment for AI Applications: Provides data support, encapsulates it into standard interfaces, and assists enterprises in efficiently building AI applications. This facilitates rapid integration and use across various application scenarios, enhancing communication and interaction efficiency.

Requires integration with the VeCDP platform.

Overview of Unstructured Data Labeling

Intelligent Marketing Strategy Agent

A digital marketing advisor based on AI deep reasoning and big data analytics, featuring intelligent audience segmentation, intelligent matching, and interactive recommendation capabilities. Through intelligent audience segmentation, intelligent matching, and interactive recommendation functions, it achieves full-process coverage from marketing element analysis and intelligent audience group matching to omnichannel strategy output, enabling enterprises to build a flexible, efficient, and continuously evolving 'AI Chief Advisor' decision-making system.

• Intelligent Audience Segmentation: Utilizes large models to gain insights into operator needs for audience selection, enabling intelligent audience package construction through natural language input.
• Intelligent Matching: Based on the operator's marketing material scope, channel scope, and content templates, combined with users' personal profile information, it recommends the best products, determines the optimal information release channels, and matches personalized offers, ultimately generating personalized marketing content for each user.
• Interactive Recommendation: The search and recommendation capability in the era of large models is a completely upgraded iteration of the traditional GMP-CIE module, integrating native large model capabilities, balancing precise conditional filtering and deep semantic retrieval, and enhancing traditional search performance. Application scenarios include search boxes, recommended topic pages, intelligent shopping guide recommendations, intelligent matching assistants, and more.

Requires integration with VeCDP and GMP platforms.

Overview of Marketing Strategy Assistant

One Strategy per Customer

A marketing personalization recommendation tool based on large models and data mining technologies, providing each customer with an 'understands you' companion-style service. One customer, one strategy is the core capability engine of the marketing Agent. It enables in-depth analysis of the relationships among events, products, and users, bridging the gap from Label-based profiling to generative individual profiling. By integrating user habits, it seizes the right moment to deliver personalized marketing recommendations.

• Precise identification of intent and preference: Accurately identifies scenarios and individual customer characteristics, combining long-term attributes and short-term behaviors to determine needs and preferences.
• Guided generation of marketing recommendations: Generates marketing strategies and action suggestions based on scenarios and objectives, providing strategic guidance.
• Support for multiple Marketing Applications: Establishes one customer, one strategy capabilities to support intelligent conversations, marketing strategy Agents, and various Agent applications.

Needs to be used together with the VeCDP product base.

-