Feiyi Technology Group Holds Project Communication Meeting with Zhejiang Tomorrow Group
In-depth Exchange of Business Needs, Customized Solutions Helping Improve Enterprise Management Efficiency
CHENGDU, April 2026 — The project communication meeting between Feiyi Technology Group and Zhejiang Tomorrow Group was successfully held in Chengdu. Feiyi Technology Group's technical team and Zhejiang Tomorrow Group's management and business leaders conducted in-depth and fruitful exchanges on intelligent sales order management system construction, enterprise digital transformation, and business process optimization. Both parties discussed in detail the intelligent transformation solution for sales order processes during the meeting, clarifying directions and goals for subsequent project cooperation.
About Zhejiang Tomorrow Group Zhejiang Tomorrow Group is an enterprise group with significant influence in the manufacturing industry, with business covering the entire industrial chain including product R&D, production and manufacturing, market sales, and supply chain management. As the enterprise scale continues to expand and market competition becomes increasingly fierce, Tomorrow Group attaches great importance to digital transformation, actively exploring the use of new technologies such as artificial intelligence, big data, and cloud computing to improve enterprise management efficiency, optimize business processes, and enhance market competitiveness.
This project communication with Feiyi Technology Group is one of the important measures for Tomorrow Group to advance its digital transformation strategy. Tomorrow Group hopes to achieve digitalization, automation, and intelligence of sales processes by introducing advanced intelligent sales order management systems, improving order processing efficiency, reducing human errors, and enhancing customer satisfaction.
Project Communication Meeting: In-depth Exchange, Precise Connection At the project communication meeting, Zhejiang Tomorrow Group's business leaders first provided a detailed introduction to the enterprise's current sales order management status, existing pain points, and digital transformation needs. Main issues include:
Low Order Processing Efficiency: Traditional manual order processing methods are time-consuming, especially when order volumes are high, prone to delays and errors.
Cumbersome Approval Process: Sales orders need to go through multiple departments and levels of approval, with complex processes and long approval cycles, affecting order delivery speed.
Scattered Data Difficult to Integrate: Order data is scattered across different systems and departments, lacking a unified data platform, making it difficult to conduct effective data analysis and decision support.
Imprecise Inventory Management: Lack of real-time linkage between orders and inventory systems, prone to inventory shortages or backlogs, affecting order fulfillment.
Customer Experience Needs Improvement: Inconvenient order status inquiries, customers unable to understand order progress in real-time, affecting customer satisfaction.
Lack of Intelligent Analysis: Lack of in-depth analysis and mining of sales data, difficult to predict market trends and optimize sales strategies.
Addressing these pain points, Tomorrow Group hopes to achieve order processing automation, approval workflow intelligence, data management centralization, inventory management precision, customer service convenience, and decision support intelligence through building an intelligent sales order management system.
Feiyi Technology Solution Presentation: Intelligent Sales Order Management System After fully understanding Tomorrow Group's business needs, Feiyi Technology Group's technical team presented a targeted intelligent sales order management system solution in detail. This solution fully utilizes advanced technologies such as artificial intelligence, big data analysis, and cloud computing to create an efficient, intelligent, and user-friendly order management system for Tomorrow Group.
Core Functional Modules 1. Intelligent Order Entry and Recognition
Support multiple order entry methods: manual entry, Excel batch import, EDI electronic data interchange, API interface connection, etc. Use OCR optical character recognition technology to automatically identify information in paper orders or image orders Based on natural language processing technology, understand customer order intent and automatically generate standardized order data Intelligently verify order information completeness and accuracy, automatically prompt errors and missing information 2. Intelligent Approval Workflow
Automatically match corresponding approval workflows based on order amount, customer type, product category, and other conditions Support multiple approval modes: multi-level approval, parallel approval, countersignature, etc. Approvers can perform approval operations anytime, anywhere through mobile terminals Intelligent reminder function, automatically push pending approval order information to avoid approval delays Complete approval history records, traceable approval process and decision basis 3. Order Automation Processing
After order approval, automatically trigger subsequent business processes: inventory check, production plan, purchase request, logistics arrangement, etc. Seamlessly integrate with ERP systems, WMS warehouse management systems, MES manufacturing execution systems, etc. Automatically generate related business documents: sales delivery orders, shipping orders, invoices, etc. Abnormal order automatic warning, timely notify relevant personnel to handle 4. Intelligent Inventory Management
Real-time synchronization of order and inventory data, dynamically display available inventory Intelligent inventory warning, automatically remind when inventory is below safety stock Support complex inventory management for multiple warehouses, multiple batches, and multiple units Intelligently predict inventory demand based on historical sales data and market trends Optimize inventory configuration, reduce inventory backlog and shortage risks 5. Customer Self-service Platform
Provide customers with online order inquiry function to understand order status in real-time Support self-service operations such as order modification and cancellation (within allowed scope) Real-time logistics information tracking, customers can check cargo location at any time Electronic invoice automatic push, convenient for customer financial processing Online customer service and intelligent Q&A, timely answer customer questions 6. Data Analysis and Decision Support
Multi-dimensional sales data analysis: statistical analysis by time, region, product, customer, and other dimensions Sales trend prediction: predict future sales trends based on machine learning algorithms Customer value analysis: identify high-value customers and formulate differentiated service strategies Product sales analysis: analyze best-selling and slow-moving products, optimize product structure Visual reports and dashboards, intuitively display key business indicators Intelligent recommendation function, provide cross-selling and upselling suggestions for sales personnel 7. Mobile Application
Develop mobile APP or mini-program, support iOS and Android platforms Sales personnel can enter orders, check inventory, and follow up with customers anytime, anywhere Management personnel can view sales data, approve orders, and monitor business progress in real-time Support offline operations, automatically synchronize data after network recovery 8. System Integration and Expansion
Provide standard API interfaces, convenient for integration with other business systems Support connection with financial systems, CRM customer relationship management systems, SCM supply chain management systems, etc. Modular design, flexibly expand functions according to business development needs Support both private deployment and cloud deployment modes Technical Architecture and Features Cloud-native Architecture: Designed based on microservice architecture, deployed on cloud platforms such as Tencent Cloud or Volcano Engine, with high availability, high scalability, and high security.
AI Empowerment: Integrate AI technologies such as computer vision, natural language processing, and machine learning to achieve intelligent functions such as order recognition, intelligent approval, and demand prediction.
Big Data Analysis: Use big data technology to conduct in-depth analysis of massive order data, mine business value, and support scientific decision-making.
User Experience Optimization: Simple and beautiful interface, simple and intuitive operation process, reduce user learning costs, and improve system usage rate.
Security and Reliability: Adopt multi-level security protection mechanisms, including data encryption, permission control, operation audit, etc., to ensure data security and system stability.
Solution Demonstration and Discussion During the solution presentation session, Feiyi Technology's technical team demonstrated various functions of the intelligent sales order management system through a large screen. From order entry, approval workflow, automation processing to data analysis, each link was demonstrated in detail. The system interface is clear and intuitive, and the operation process is simple and efficient, leaving a deep impression on Tomorrow Group participants.
Tomorrow Group's business leaders highly recognized Feiyi Technology's solution, believing that the solution fully considers the enterprise's actual business needs, with advanced technology, comprehensive functions, and convenient operations. Particularly, functions such as intelligent approval workflow, order automation processing, and data analysis and prediction can effectively solve the pain points currently faced by the enterprise, significantly improving order processing efficiency and management level.
During the discussion session, both parties conducted in-depth exchanges on specific implementation details of the solution:
Implementation Cycle: Based on project scale and complexity, the entire project implementation cycle is expected to be 3-6 months, advancing in stages.
System Integration: Need to interface with Tomorrow Group's existing ERP system, financial system, warehouse system, etc. Feiyi Technology will provide standard API interfaces and technical support.
Data Migration: Historical order data needs to be migrated to the new system. Feiyi Technology will formulate a detailed data migration plan to ensure data integrity and accuracy.
User Training: Comprehensive user training will be organized before system launch, including system operation training and administrator training, to ensure users can use the system proficiently.
After-sales Service: Provide 7×24 technical support services, timely respond to and solve problems in system use.
System Optimization: Continuously optimize system functions and performance based on actual usage to meet the enterprise's constantly changing business needs.
Cooperation Intention and Follow-up Arrangements After in-depth exchange and discussion, both parties are full of confidence in cooperation prospects and reached preliminary cooperation intentions. Zhejiang Tomorrow Group stated it will organize internal review as soon as possible to determine project implementation plan and schedule. Feiyi Technology Group will further refine solution details based on Tomorrow Group's feedback and prepare various work for project launch.
Both parties agreed on subsequent work arrangements:
Demand Research: Feiyi Technology will send a technical team to Tomorrow Group for in-depth demand research to understand in detail the business processes and system requirements of various departments.
Solution Refinement: Based on demand research results, further refine technical solutions and implementation plans, clarify project scope, function list, technical architecture, implementation steps, etc.
Business Negotiation: Negotiate business terms such as project contract, fees, payment methods, intellectual property rights, etc.
Project Launch: After both parties sign a formal contract, form a project team, hold a project launch meeting, and officially start project implementation.
Stage Acceptance: Project is implemented in stages, with acceptance after each stage is completed to ensure the project progresses as planned.
System Launch: After completing system development, testing, and training, officially launch and operate, entering trial operation period.
Continuous Optimization: After system launch, continuously optimize and improve based on actual usage, providing long-term technical support services.
Feiyi Technology's Advantages Zhejiang Tomorrow Group chose to cooperate with Feiyi Technology mainly based on the following considerations:
Strong Technical Strength: Feiyi Technology has deep technical accumulation in artificial intelligence, big data, cloud computing, and other fields, capable of providing advanced technical solutions.
Rich Industry Experience: Feiyi Technology has provided digital transformation services to multiple manufacturing enterprises, accumulating rich industry experience and successful cases.
Customization Capability: Feiyi Technology can provide highly customized solutions based on enterprise-specific business needs, rather than simple standardized products.
Complete Service System: From demand analysis, solution design, system development, implementation deployment to after-sales service, Feiyi Technology provides full-process professional services.
Partner Resources: Feiyi Technology is a core partner of mainstream cloud platforms such as Tencent Cloud and Volcano Engine, capable of providing powerful technical platform support to customers.
High Cost-effectiveness: While ensuring technological advancement and service quality, Feiyi Technology provides competitive pricing solutions.
Project Value and Significance The construction of an intelligent sales order management system has important value and significance for Zhejiang Tomorrow Group:
Improve Efficiency: Significantly improve order processing efficiency and shorten order cycles through automation and intelligence.
Reduce Costs: Reduce manual operations and labor costs; optimize inventory management and reduce inventory costs.
Reduce Errors: System automatic verification and processing reduce human errors and improve data accuracy.
Enhance Control: Achieve visual management of the entire order process and enhance business control capabilities.
Improve Experience: Provide customers with convenient self-service, improving customer satisfaction and loyalty.
Support Decisions: Provide scientific decision support for management through data analysis and intelligent prediction.
Promote Transformation: The intelligent sales order management system is an important component of enterprise digital transformation, laying the foundation for subsequent construction of other systems.
Industry Demonstration Significance The cooperation between Feiyi Technology and Zhejiang Tomorrow Group has important demonstration significance for digital transformation of manufacturing enterprises. It demonstrates how to use new technologies such as artificial intelligence, big data, and cloud computing to transform traditional business processes, improve enterprise management levels and market competitiveness.
With the rapid development of the digital economy, more and more manufacturing enterprises recognize the importance and urgency of digital transformation. Feiyi Technology is willing to share the experience and technology accumulated in the Tomorrow Group project with more enterprises, helping more enterprises achieve digital transformation and contributing to the high-quality development of China's manufacturing industry.
Conclusion The project communication meeting between Feiyi Technology Group and Zhejiang Tomorrow Group was a complete success. Both parties reached a high degree of consensus on intelligent sales order management system construction, laying a solid foundation for subsequent in-depth cooperation.
Feiyi Technology will fully support Tomorrow Group's digital transformation with professional technical capabilities, rich industry experience, and complete service system, helping Tomorrow Group build an efficient, intelligent, and advanced sales order management system to improve the enterprise's management level and market competitiveness.
We believe that through close cooperation and joint efforts of both parties, we will definitely create a benchmark case for digital transformation of manufacturing enterprises and set an example for industry development!
About Feiyi Technology Group
Feiyi Technology Group is an innovative enterprise specializing in artificial intelligence technology research and application, with business covering computer vision, natural language processing, machine learning, cloud computing services, digital transformation consulting, enterprise management informatization, and other fields. The company provides intelligent solutions for multiple industries including manufacturing, education, construction, finance, retail, and government, helping enterprises achieve digital transformation and intelligent upgrading.
About Zhejiang Tomorrow Group
Zhejiang Tomorrow Group is an enterprise group with significant influence in the manufacturing industry, with business covering the entire industrial chain including product R&D, production and manufacturing, market sales, and supply chain management. The group attaches great importance to digital transformation, actively exploring the use of new technologies to improve enterprise management efficiency and market competitiveness.