JINMANO Attends WAIC 2026 to Advance AI-Powered Operations and Product Innovation

SUZHOU, China, 2026 — The AI R&D Department of Suzhou Jingman Technology Co., Ltd. attended the 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance in Shanghai. The team exchanged perspectives with industry professionals, technology teams, and emerging talent while exploring how artificial intelligence can support daily operations, product development, corporate communications, and quality management.

WAIC 2026 was held from July 17 to 20 across the Expo, Zhangjiang, and West Bund areas of Shanghai under the theme “AI Partnership for a Brighter Future.” Its program included forums, exhibitions, application experiences, innovation incubation, and talent development, creating a valuable setting for examining how AI is moving from research into practical industrial use.

For JINMANO, attending the conference was not about pursuing technology as an abstract idea. It was an opportunity to identify AI applications that can fit real workflows, address specific business needs, and create sustainable value.

Moving from Understanding AI to Using It Well

As AI tools develop rapidly, the challenge for businesses is changing. Access to a tool does not automatically create meaningful digital transformation. Value depends on selecting appropriate use cases, defining responsible workflows, maintaining information accuracy, and helping employees use AI safely and consistently.

During WAIC 2026, the JINMANO AI R&D team paid particular attention to developments in AI agents, AI-assisted coding, multilingual content, industrial collaboration, and talent ecosystems. The team sought to better understand the conditions required to apply these technologies within a growing cross-border business, including implementation cost, data needs, training, human review, and long-term maintenance.

These observations will inform internal evaluation and planning. They should not be interpreted as announcements of unverified product functions or completed commercial partnerships.

Supporting Everyday Work with AI

Daily office operations are among the areas where AI may deliver practical benefits relatively quickly. JINMANO plans to continue evaluating its use in document organization, internal knowledge retrieval, meeting summaries, task structuring, multilingual translation, and workflow coordination.

AI can reduce repetitive information-processing work, but its output still requires human judgment. Content involving product facts, contracts, finance, regulations, customer information, or important business decisions must be reviewed by the responsible personnel.

The objective is not to replace employees. It is to help teams spend more time on communication, judgment, creativity, and customer service.

Supporting Product Development

JINMANO works across small home appliances, 3C electronics, and automotive accessories. Customer habits, climates, living spaces, design preferences, and product requirements vary between markets, creating large volumes of information for product teams to understand.

Within product development, AI may help organize user feedback, identify recurring needs, compare use scenarios, summarize design issues, and improve the flow of information between teams. During early product planning, it can also help raise questions that require further verification, such as whether a product is easy to install, operate, clean, store, and maintain.

AI-generated suggestions cannot replace engineering validation, sample testing, quality inspection, or market-compliance assessment. JINMANO intends to use AI as a supporting tool while keeping final decisions and validation with qualified professionals.

Improving the Use of Quality Information

Product quality depends on coordinated management across development, production, packaging, and delivery. JINMANO is exploring how AI may assist with organizing quality feedback, identifying repeated issues, structuring inspection records, and improving follow-up efficiency.

When information is classified and connected more clearly, teams may identify areas requiring attention sooner and create a stronger basis for improvement. The purpose is not to let AI decide automatically whether a product meets requirements. It is to help quality professionals use available information more effectively.

Quality conclusions must continue to rely on physical products, applicable requirements, inspection records, and human confirmation. Facts and verification will remain the foundation of JINMANO’s quality decisions.

Applying AI to Communications and Global Content

Clear, accurate, and locally appropriate content is essential for a cross-border brand serving North America, Europe, and Southeast Asia. JINMANO is exploring AI assistance for multilingual product information, website content, blog articles, social media materials, and internal content management.

AI can accelerate initial drafting and information organization, but brand communications should not depend on unreviewed automated output. Product specifications, instructions, safety information, and commercial commitments must match verified source material. Language and cultural context also require human localization review.

By developing content templates, review rules, and a consistent brand glossary, JINMANO aims to use AI to improve speed and consistency while maintaining honest and responsible communication.

Connecting with Industry and Talent

WAIC 2026 included ecosystems focused on youth innovation, industry connections, and talent development. The conference gave the JINMANO team an opportunity to observe emerging talent directions and discuss the practical needs of enterprise AI adoption.

The company is interested not only in algorithmic expertise but also in the ability to turn technology into usable business tools. This includes understanding workflows, product logic, customer needs, data security, and cross-functional cooperation.

JINMANO will continue to evaluate talent and collaboration opportunities in line with its development needs. Any specific vacancy, partnership, or project will be communicated through an official company announcement.

A Responsible and Verifiable Approach

Efficiency is not the only objective when AI enters office and development workflows. Data security, intellectual property, customer privacy, information accuracy, and clear accountability are equally important.

JINMANO plans to advance enterprise AI through focused pilots, outcome evaluation, employee training, and human review. The company will remain cautious where results cannot be verified consistently, sensitive information may be exposed, or responsibility is unclear.

This measured approach will help determine whether an AI application genuinely improves processes, products, and service rather than simply adding another tool or cost.

Looking Ahead

Participation in WAIC 2026 gave the JINMANO AI R&D team an opportunity to observe technology trends, exchange industry perspectives, and better understand the AI talent ecosystem. The team will bring these insights into further evaluation across daily operations, product development, quality management, and corporate communications.

JINMANO will continue to focus on AI applications that address real needs. Human review and professional judgment will remain essential as the company works to improve efficiency while protecting information security and content accuracy.

For Suzhou Jingman Technology, the value of AI is not measured by how many new tools a business adopts. It is measured by whether those tools help people create better products, provide more professional service, and deliver more reliable experiences to customers around the world.

JINMANO — Connecting practical innovation with everyday life.