Enterprise-specific · Localized AI management system

Let corporate information truly become
Callable business capabilities

The Tianshu management system is not a general-purpose software, but a localized AI management system developed specifically around the company's real products, customer data, sales processes and knowledge assets. Help business personnel match products faster, answer customers more accurately, and better accumulate corporate experience.

View core competencies → Experience matching logic

Real product driven Match based on models, specifications, parameters, scenarios and historical data

The answer is well documented Prioritize retrieval of company information, support source citations and uncertainty prompts

Data is locally controllable Customer information, quotation data and training data are stored in the enterprise environment

Enterprise knowledge base is connected 1,286 documents · 42,650 pieces of knowledge

Tianshu Business Intelligent Workbench

Intelligent business assistantProduct matching and data verification

Local services online

Recommended results 01PET temperature-resistant transparent protective film

Matching degree 96%

PETheat resistanceHigh transparencyTag protectionCustomizable thickness

Match basis

Cross-match product parameters, application scenarios, historical quotes and test reports.

Citing sources

"PET Product Manual" P12, "Temperature Resistance Test Report" Item 4.2.

The answer basis has been verified Parameter sources, document locations and valid versions can all be traced

Upgrading from "data storage" to "business calling"

Product list structuring

Multimodal data analysis

Enterprise knowledge retrieval

Local model collaboration

SYSTEM POSITIONING

Instead of adding another piece of software, build your own business intelligence base

The Tianshu system starts from the real data of the enterprise and connects products, customers, sales, technology and experience to form an intelligent system that is searchable, matchable, quotable and sustainable for training.

Limitations of general tools

Can chat, but doesn’t really understand the business

It is difficult for a general-purpose CRM or general-purpose AI to understand the company's internal model rules, quotation habits, testing standards, and product substitution relationships. Answers are easy to generalize, and the data still needs to be manually searched repeatedly.

Product data and business logic are scattered
Answers rely on personal experience and memory
Data versions and evidence are difficult to trace
Difficulty adapting to company-specific processes

Tianshu system method

Targeted development around the company’s own scenarios

The system unifies product lists, model specifications, technical documents, customer Q&A, quotation materials and business processes, and establishes the company's own knowledge base, matching logic and model capabilities.

Build matching rules around real products
Prioritize retrieval of company information and then generate answers
Support source citation and uncertainty prompts
Continuous access to more business systems

WORKFLOW

From data entering the system to business personnel obtaining reliable answers

The system does not just save files, but processes them into understandable, searchable, combinable and citable corporate knowledge.

STEP 01

Data access

Import PDF, Word, Excel, pictures, scans, brochures, inspection reports and historical Q&A.

STEP 02

Parsing and structuring

Identify the relationship between text, tables, pictures and pages, and extract product names, models, parameters and scenarios.

STEP 03

Index and knowledge association

Slice, vectorize, and index data, and associate version, product, customer, and business tags.

STEP 04

◇

Matching and inference

Match products, alternatives and relevant evidence based on application needs, industry, specifications and history.

STEP 05

Reliable output

Generate evidence-based query results, customer responses, recommendations, technical descriptions or pre-quote checklists.

CORE CAPABILITIES

Build eight core capabilities around products, knowledge and business processes

Each capability is not an isolated function, but operates collaboratively around the company's product data and actual work scenarios.

Product List Smart Matching

Match corresponding products, similar products, substitute products or recommended products based on product name, model, thickness, material, application scenario, customer industry, technical parameters, historical data, quotation data and test reports.

Model matchParameter filteringscene recognitionSimilar productsalternative

Enterprise knowledge base accumulation

Unify the company's long-term accumulation of product, technology, sales and training materials, and perform slicing, indexing, retrieval and citation.

Version managementPermission controlFull text search

Multimodal data processing

Process images, scans, PDF pages, product brochures, tables and screenshots to turn non-standard text content into searchable knowledge.

Image recognitionTable analysisPage understanding

Reliable answers based on company data

Check the information first and then organize the answer; clearly indicate uncertainty when the information is insufficient; the corresponding documents and content locations can be quoted, which is suitable for scenarios such as product parameters, quotation rules, and testing standards that cannot be written at will.

Evidence citedConfidence judgmentVersion verificationRefuse to make things up

◎

Unified model management

Unified scheduling of local large models, embedded models, rearrangement models, multi-modal models, customer service response models and enterprise-specific models.

model routingTask allocationOperation monitoring

△

Enterprise-specific model training

Training or fine-tuning is carried out based on corporate information, customer service skills, product knowledge and business processes, so that the model can gradually adapt to corporate expressions.

Exclusive corpusContinuous optimizationUnified style

↗

Directly used by sales and customer service

Used for customer question responses, product recommendations, parameter inquiries, pre-quotation confirmation, report inquiries, alternatives and new employee training.

Email assistanceCustomer replyNewcomer training

∞

Continuously expanding enterprise intelligence platform

It can continue to access product library, customer management, quotation system, order system, email system, website customer service and foreign trade process, and expand to automatically generate quotations, product recommendations and technical specifications.

CRMERP/OrderMail systemWebsite customer serviceDocument generation

PRODUCT MATCHING DEMO

The focus is not on “being able to chat”, but on being able to complete business matching around real products

The following interface demonstrates how the system converts customer needs into product conditions, and provides product suggestions, matching reasons and data sources.

Enter the requirements and the system automatically disassembles the product conditions

The system will identify application scenarios, materials, performance, specifications and customer industries, and then cross-match with product libraries, technical information, quotations and test reports.

Examples of customer needs

Tianshu intelligent matching results
Recommended product: PET temperature-resistant transparent protective film

Matching degree 96%

PET temperature resistant glazing film

Suitable for labels and prints that require high transparency, temperature resistance and surface protection, which can be further confirmed according to the customer's thickness, surface treatment and subsequent processing requirements.

Identify materialPET

key performanceTemperature resistant/high transparency

ApplicationLabel surface protection

Match basis and source Product list, PET product manual, historical customer Q&A, temperature resistance test report.

SYSTEM ARCHITECTURE

Unified connection of data, models and business applications

Through the knowledge processing layer and model management layer, the Tianshu system transforms the company's internal data into capabilities that can be directly used by sales, customer service, and technical support.

Product and SpecificationsProduct list, model, thickness, material, parameters, application scenarios

Technical and testing documentsInstructions, brochures, test reports, standards, pictures and scans

Customer and business informationCustomer Q&A, quotation records, sales materials, emails and training content

Tianshu AI core Knowledge retrieval · Product matching
Model Scheduling·Evidence Verification

Sales business assistantProduct recommendation, confirmation before quotation, customer information sorting, reply assistance

Customer service and technical supportParameter query, report retrieval, alternatives, standardized responses

Management and knowledge accumulationTraining, experience reuse, authority management, data versioning and continuous training

BUSINESS SCENARIOS

Go directly into the daily work of sales, customer service and technical support

The system can call the same set of corporate knowledge and product logic according to different positions, reducing repeated queries, inconsistent caliber and loss of experience.

SALES ENABLEMENT

Sales product recommendations

The salesperson enters the customer's industry, usage scenarios, key specifications and performance requirements, and the system screens suitable products from the company's product list and provides reasons for recommendations, alternatives and issues that require further confirmation.

01Identify needsExtract industry, application, material, thickness, performance and processing conditions.

02Matching productsCombine product library, historical data and test reports for cross-screening.

03formulate suggestionsOutput recommended products, alternatives, sources of evidence, and confirmation lists.

Typical output: product recommendation list, key parameter comparison, alternatives, customer confirmation questions.

Enterprise product and customer dataStored in enterprise-owned environment

LOCAL

Knowledge base and vector indexInternal search and permission control

SECURE

Local large model serviceUnified scheduling and operation monitoring

Training data and business logsAuditable, manageable, and backupable

PRIVATE

LOCAL DEPLOYMENT

Localized deployment keeps important data in the hands of the enterprise itself

Product prices, customer information, technical documents, historical orders and training data tend to be highly sensitive. The Tianshu system can be deployed in an enterprise's local server or private environment to reduce the risks caused by uploading data to external platforms.

Data is saved autonomouslyEnterprise profiles, indexes, logs, and model data can all stay local.

Permission hierarchical controlSet access scope based on position, department and data type.

Unified model managementLocal models and necessary external models can be scheduled by task and permission.

The whole process is traceableQuery sources, citations, versions and key operations can all be recorded.

SCALABLE PLATFORM

System value will continue to grow with enterprise data and business access

It starts with product knowledge and intelligent Q&A, and then gradually connects customers, quotations, orders, emails and website customer service to form the company's own digital business center.

PHASE 01

Knowledge and Product Center

Organize product lists, technical information, test reports and brochures, and establish knowledge base and basic product matching capabilities.

PHASE 02

Sales and customer service collaboration

Access customer Q&A, email assistance, product recommendations, alternatives and pre-quote information confirmation.

PHASE 03

Business system connection

Connect customer management, quotations, orders, website customer service and foreign trade business processes to reduce repeated entry of information.

PHASE 04

Enterprise-specific intelligence

Train enterprise-specific models to automatically generate quotations, recommendations, technical instructions and standardized business output.

BUILD YOUR OWN BUSINESS AI

Starting from the company's real data, build a truly usable exclusive AI system

The Tianshu management system is developed in a targeted manner based on the enterprise's product system, data structure and business processes. The system does not replace business people, but allows every sales, customer service and technical staff to get reliable answers faster.

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Let corporate information truly become Callable business capabilities