CHINAOPC / JOURNAL

China

Aggregate cross-regional entrepreneurial observations and data on people whose business locations have not yet been verified, and explain the geographical scope based on actual sources.

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FDE Cases / Source-based research

Digiwin's FxE Scheduling: Explaining Trade-Offs in Small-Batch Production

The FxE case disclosed by Dingjie records the process from scheduling prototype to production line deployment of an anonymous manufacturing company in Zhejiang. This article focuses on multi-category and small-batch production, analyzing how delivery dates, equipment, materials and temporary changes affect scheduling choices, and how business personnel understand plan changes. The original article still lists the overall model as the first batch of customer verification stages, and cannot promise universal effectiveness or mature replication across the country based on one case.

ChinaOPC Editorial Team21 Oct 20264 min readChina

FDE Cases / Source-based research

Chinasoft International's FDE Audit Case: Turning Related Records into Checkable Questions

The case of an anonymous central energy enterprise disclosed by ChinaSoft International links FDE on-site delivery with contracts, document element extraction, evidence correlation and report drafting. This article analyzes how to find the corresponding record for a doubtful point, and explains how to present data correlation, matters that need to be verified, and professional judgment respectively. The customer identity, launch time and results were not independently verified, and the clues discovered by the model were not written into formal audit conclusions.

ChinaOPC Editorial Team21 Oct 20264 min readChina

AI in Practice / Source-based research

Shidian Guji's AI Assistant: Tracing an Explanation back to the Book

The public case of reading ancient books introduces a reading assistant that combines a large language model with dictionary, ancient book retrieval and original text link. For a small team working on research data services, it is worth paying attention to which text the reader has selected, where the basis for the answer comes from, and how different versions and explanations are presented separately. This article analyzes the work from asking questions, finding references to continuing reading, and does not regard the generated explanations directly as proofreading or academic conclusions.

ChinaOPC Editorial Team20 Oct 20264 min readChina

AI in Practice / Source-based research

Jushubao's AI Operations Tickets: Finding Common Causes across Merchant Errors

Jushubao disclosed the support ticket process using AI-assisted operation and maintenance: first read the fault log, then triage, retry or merge similar problems. This article analyzes the scenario where multiple merchants report errors at the same time. Under what circumstances can support tickets be put together, which customer impacts need to be retained separately, and how to confirm data recovery after repair. The original case comes from Kouzi customer disclosure, and this article has not independently verified the efficiency data.

ChinaOPC Editorial Team20 Oct 20264 min readChina

FDE Cases / Source-based research

Ma Ke Tu Wen (马克吐问): An FDE Asset Library: Matching a Reference Image to Business Products

Mark Tuwen disclosed a visual search delivery for cross-border luggage and consumer goods companies and classified it as an FDE business implementation. The case uses reference pictures to connect to existing product libraries. This article analyzes the different meanings of "similarity" from the perspective of sales and product selection tasks, and how picture candidates can retrieve product records; customer identity and effects have not been independently verified, and technical samples, gallery size, or similar results are not regarded as commercial guarantees.

ChinaOPC Editorial Team20 Oct 20264 min readChina

AI in Practice / Source-based research

Hefu Noodle's AI Review Analysis: Turning Comments into Discussable Store Issues

The public case of Hefu Laomian organizes multi-platform reviews into emotional and business tags, and then outputs structured results. For small teams that provide AI services to stores, it is more worthwhile to study what different problems can be broken out by a single comment, how to combine repeated feedback, and when it is worth scheduling a physical inspection. This article distinguishes between customer expressions and business facts, and does not infer store improvement or revenue growth based on the accuracy displayed on the platform.

ChinaOPC Editorial Team20 Oct 20264 min readChina

AI in Practice / Source-based research

Septwolves' AI Sales Practice: Responding When Customers Change Their Needs

Septwolves’ “Little Wolf Training” connects product practice, virtual customer dialogue and ratings. Based on the official customer case of Kouzi, this article analyzes how store training coaches move from memorizing information to understanding customer needs, and explains the differences between training situations, feedback basis and real reception capabilities. Enterprise data is provided by customers, and there is no promise that small teams will achieve the same sales results after adoption.

ChinaOPC Editorial Team20 Oct 20264 min readChina

FDE Cases / Source-based research

Dipu's FDE Digital Employees: From Requirements Reports to Delivery

Dipu’s annual report disclosed that its FDE engineers collaborate on the internal platform to use four types of AI digital employees: solution, data governance, code and project management. For small teams, the focus that can be studied is how the judgment of the previous job is passed on to the next one, especially the conditions that have not been confirmed by the customer. This article discusses the articulation between reports, data definitions, and development tasks through independent analysis without impersonating internal delivery details from actual customers.

ChinaOPC Editorial Team20 Oct 20264 min readChina

FDE Cases / Source-based research

Caixun's FDE Co-Creation: Define Metrics before AI Questions Data

Caixun's semi-annual report disclosed the commercialization of the AI question platform and the FDE co-creation delivery model. When an enterprise asks "How many new customers did it add this month?" it still needs to confirm the customers, time, scope and deduplication caliber before answering. This article starts with an original analysis by dismantling business questions and discusses how the co-creation stage forms calculable problems without merging the two disclosures into an implementation record or performance commitment for an undisclosed customer.

ChinaOPC Editorial Team20 Oct 20264 min readChina

AI in Practice / Source-based research

Beyondsoft's Huadian Materials Project: Preserve Reasons behind Procurement Categories

Beyondsoft publicly disclosed that Huadian's material procurement data asset management project has been accepted, in which AI is used to recommend procurement product catalogs and generate labels. Cataloging deals with where information is placed and does not equate to selecting suppliers or making purchasing decisions. This article is based on limited facts and original analysis of how product names, uses, rule conflicts and manual confirmation are connected, and does not extend project acceptance into undisclosed commercial effects.

ChinaOPC Editorial Team19 Oct 20264 min readChina

FDE Cases / Source-based research

SIE's Field-Driven Engineering: Connecting AI Code with Shipping Requirements

Saiyi Information named its FDE delivery system after "field-driven engineering" and disclosed its AI coding practices such as shipping notices for grain and oil companies. Starting from this specific function, this article discusses how notifications, plans, and actual operations are expressed separately in requirements, and how quantity units, status changes, and existing system agreements are entered into specifications. The customer is not named, and the independent analysis does not pretend to be the internal design of the project or the customer's actual measurement data.

ChinaOPC Editorial Team19 Oct 20264 min readChina

FDE Cases / Source-based research

Runhe Software's Financial Testing FDE: Finding Context behind a Message

Runhe Software publicly introduced the financial testing FDE solution and anonymous city commercial bank project verification, involving case generation, message search and other work. This article studies how a test message associates pre-state, request and response, which judgments still need to be confirmed by business experts, and then discusses how a small team can make a reviewable search service from limited samples to distinguish between tool demonstration and actual test basis.

ChinaOPC Editorial Team19 Oct 20264 min readChina

AI in Practice / Original analysis

When Clients Say Do Not Send Yet: Testing Changes, Cancellation and Recovery

Halfway through a task, the client may change the date, change materials, or cancel the execution. This article refers to Microsoft's description of multiple rounds of agent evaluation and designs a set of content scheduling simulation conversations to check whether the system retains the latest requirements, stops old actions and accurately hands over, helping small teams to separately verify chatting and reliably processing tasks.

ChinaOPC Editorial Team19 Oct 20264 min readChina

FDE Cases / Source-based research

Newpoint Software's FDE Disclosure: Preserving Knowledge-Base Applicability

New Point Software proposed in the public evaluation report to explore the FDE delivery model and build an intelligent delivery knowledge base. What is worth studying by small teams is how field experience can be carried into the next delivery with applicable conditions, rather than simply saving a batch of prompt words. This article discusses the design of case cards, verification samples, and failure handling. The relevant methods are ChinaOPC’s original suggestions and cannot be regarded as the company’s published implementation details.

ChinaOPC Editorial Team19 Oct 20264 min readChina

FDE Cases / Source-based research

Yonyou's FDE and Outcome Pricing: Define the Unit of Service First

UFIDA disclosed the FDE team and its exploration of result-based charging in its semi-annual report. For small teams, the focus of research is how to define a countable and verifiable service result, and record resource calls, manual reviews and exception handling separately. This article starts from public disclosure and discusses the billing units and evidence that need to be confirmed before quoting. The relevant plans do not represent the contract terms that have been disclosed by the company.

ChinaOPC Editorial Team19 Oct 20263 min readChina

FDE Cases / Source-based research

Qingmu Technology's Efficiency Lab: Developing Business-Aware AI Delivery Skills

Qingmu Technology's semi-annual report introduces efficiency laboratories, AI training and compound talent training. This article distinguishes between the usage of FDE within the company and its external service status, and then analyzes it from four aspects: real tasks, trial production records, colleagues taking over and ability evaluation, to help small teams determine what is left after the training, rather than just counting the number of times the tool is used.

ChinaOPC Editorial Team18 Oct 20263 min readChina

FDE Cases / Source-based research

iSoftStone's FDE Organization: Connecting Field Delivery with Platform Support

iSoftStone’s semi-annual report includes FDE frontline, platform and computing power in the same delivery system. This article focuses on the analysis of who receives customer issues, who fixes platform defects, and who maintains them after they go online. It gives small teams a list of collaborations that can be discussed. It does not regard the staff size, contract signing, or planning of large enterprises as directly replicable business results.

ChinaOPC Editorial Team18 Oct 20263 min readChina

FDE Cases / Source-based research

Digital China's AI for Process: Turning Workflows into Joint Confirmations

Digital China’s public records introduce process-centric AI implementation and FDE services. This article starts from the handover between business steps and discusses what records should be formed when scene screening, data preparation and demand changes, so that buyers know what they need to participate in, and do not directly describe the manufacturer's method introduction as the effect that the customer has achieved.

ChinaOPC Editorial Team18 Oct 20263 min readChina

FDE Cases / Source-based research

Yusys Technology's FDE Disclosure: Prompts and Rules in Delivery Workflows

Yusys Technology introduced the FDE team’s demand communication, product configuration and troubleshooting work in its investor relations records. This article studies how to leave modification basis, confirmation responsibility and recovery path after the configuration task is handed over to the delivery team, helping enterprises to distinguish demonstration debugging from formal changes, and not treating corporate disclosure as independent acceptance or proof of benefits.

ChinaOPC Editorial Team18 Oct 20263 min readChina

FDE Cases / Original analysis

Starting Enterprise FDE: Deliver One Real Business Task Completely

FDE brings engineers into the real business of the company, but the starting point of the project still needs to be implemented into specific tasks. This article explains how forward deployment engineering works, and proposes a starting method from process interviews, sample confirmation to small-scale rollout. It also explains how customers and service teams divide work and when to pause, helping companies form the first requirements that can be discussed and accepted.

ChinaOPC Editorial Team18 Oct 20263 min readChina