Client Cases

Cadre training materials are scattered, trainees find it inconvenient to access them, and training effectiveness evaluation lacks data support.

Tencent needed to quickly produce high-quality audiobook content for reading products, with traditional recording being costly and slow.

Lvcheng China had numerous projects with repetitive customer inquiries, difficult knowledge retention, and rising labor costs.

Marketing content production relies on manual work and responds slowly to market changes; employee knowledge access is fragmented, reducing internal collaboration efficiency.

Luzhou Laojiao faced challenges with high marketing content volume for festivals, slow production, and inconsistent brand styles.

E-commerce customer service labor cost is high, repetitive inquiries are common, after-sales conversion is low, and repurchase promotion capability is insufficient.

Lingshi Youming has thousands of stores nationwide facing challenges in inventory management, user operations, and service standardization.

Maternal and infant users have highly personalized consultation needs, manual customer service cannot respond around the clock, and it is difficult to improve user stickiness and brand trust.

Chengdu Mobile had a large workforce with extensive training materials, inefficient knowledge transfer, and slow onboarding.

New employees take a long time to ramp up, frontline support staff rely on senior colleagues for knowledge, and knowledge transfer is inefficient.

Corporate rules and policy documents are numerous, employee inquiries are time-consuming, and repeated HR/legal explanations consume substantial effort.

Hainan Airlines had enormous maintenance manuals, time-consuming retrieval for technicians, and difficulty predicting equipment failures.

Production specification documents are numerous, frontline workers face high learning costs, and non-standard operations frequently cause quality problems.

Sichuan University sought digital transformation to improve teaching quality, student experience, and campus management efficiency.

Jinjiang Talent Center managed extensive vocational training with scattered resources, complex student management, and outdated assessment.

Patient follow-up relies on manual outbound calls, coverage is low, cost is high, and patient management is insufficiently refined.

Technical inquiries from B2B clients are highly specialized, manual support responds slowly, and technical document consultation is inconvenient.

Researchers spend too much time searching, reading, and organizing literature. Information extraction is inefficient and slows research progress.

Content production cycles in cultural media are long, creative resources are limited, and multi-platform distribution efficiency is low.

Chengdu Release, as official government media, needed high-frequency, quality government content production beyond manual capacity.

Employees repeatedly ask the same questions, experience cannot be systematically retained, and key tacit knowledge is lost when senior employees leave.

Researchers and compliance staff spend too much time searching literature and policies, information is fragmented, and work efficiency is constrained.

Tourist inquiry volume is high, manual customer service is costly, tourism information access is inconvenient, and visitor satisfaction is hard to improve.

Business strategy knowledge is scattered, access to professional information depends on experts, and decision support efficiency is low.

Discipline inspection work involves numerous regulations, case lookup is time-consuming, and the level of standardization varies.

After-sales engineers cannot conveniently access technical materials on-site, issue response is slow, and customer satisfaction is affected.

Security incident response depends on expert experience, knowledge cannot be reused efficiently, and client security capability building is slow.

Manual customer service is under heavy pressure, response is slow during peak periods, and repetitive questions consume substantial manpower.

Passenger inquiries are numerous, manual information desk pressure is high, and access to flight and check-in information is inconvenient.

Communication between teachers and parents is inefficient, notices are not delivered promptly, and repetitive questions consume too much teacher time.

Investment decision information sources are scattered, due diligence material organization is time-consuming, and decision-support information is difficult to obtain efficiently.

Policies for veterans are numerous and frequently updated, service counter staff face heavy pressure, and policy reach is low.

Customers rely on manual shopping guidance, service capacity is insufficient during peak periods, and the lack of personalized recommendations affects conversion.

Agricultural technical service reports rely on manual writing, standardization is low, and large amounts of data cannot be efficiently transformed into service content.

Customer service training cycles are long, new hires ramp up slowly, service quality varies, and realistic practice scenarios are lacking.

Construction knowledge systems are massive, project managers spend too much time checking codes and standards, and on-site decision support is insufficient.

Citizens rely on hotlines for route inquiries, hotline pressure is high during peak periods, and self-service query channels are incomplete.

HR consultation questions are highly repetitive, HR policy documents are scattered, and employees lack smooth access to accurate information.

Video course production is costly and slow, personalized teaching needs cannot be met quickly, and content updates lag behind.

Consultation volume surges during exhibitions, manual service costs are high, and the information access experience of exhibitors and visitors is poor.

Frontline production staff find it cumbersome to consult operating procedures. Equipment knowledge is scattered, new employees ramp up slowly, and error rates are high.

Bank SMS formats are inconsistent, manual extraction of key fields is inefficient, and financial automation is insufficient.

Technical documents in smart transportation implementation are numerous, project staff spend too much time finding materials, and project progress is constrained.

Citizens are unclear about service policies, queues at service counters are long, staff repeatedly answer the same questions, and service efficiency is low.

There are too many technology policy items, enterprises struggle to match suitable support policies, and service reach is low.

Knowledge sharing is restricted in confidential environments, professional document retrieval is cumbersome, and production efficiency is affected.

Multi-source data comparison relies on manual work, discrepancies are discovered inefficiently, and integrity risks are hard to identify in time.

External display relies on manual explanation, information delivery is inconsistent, the digital image is weak, and it is difficult to attract investment.

Grassroots regulatory staff find it inconvenient to search policies and regulations, law enforcement references are slow to obtain, and intelligent supervision capability is weak.

Announcements, official notices, and corporate regulations are huge in volume. Employees spend too much time searching for information, and policy communication is not timely.

Public welfare policies are complex, consultation channels are limited, service accessibility is poor, and counter staff workloads are heavy.

There are many government service items, citizens are unclear about procedures, consultation pressure is high, and service efficiency is low.

Frontline police officers spend too much time checking regulations, case references are difficult to access, and this affects law enforcement efficiency and standardization.

Grassroots community governance tasks are complex, resident requests are responded to slowly, and community staff face heavy information-processing pressure.

Industrial investment planning relies heavily on manual research. Policy interpretation is time-consuming, systematic analytical frameworks are lacking, and decision-making support is insufficient.