From several days to hours: 111, Inc. Sponsored ADR Class A (YI.US) uses AI in "drug coding," achieving an efficiency increase of over 10 times.

The standard name for the same drug in the system is "Amoxicillin Capsules 0.5g24 pieces." However, different manufacturers and channels might label it as "Amoxicillin 0.5g 24 capsules" or even in English as "Amoxicillin Capsules 500mg." Consolidating all these various names to a single standard product is referred to in the industry as "matching codes." If they don't match, the drug cannot be shelved, invoices cannot be issued, and it cannot circulate for sale. "Drug code matching" is one of the core tasks that the data team of 111, Inc. Sponsored ADR Class A (YI.US) devotes a significant amount of energy to. In the past, the data team of 111, Inc. Sponsored ADR Class A had to manually compare based on generic names, specifications, and manufacturers, often spending several days to clarify a specific category of drugs. Now, with the WorkBuddy intelligent agent, data personnel only need to upload data and specify matching criteria, while AI automatically extracts and matches the necessary information, reducing the time required for a complete code match from days to hoursan efficiency improvement of over ten times. Pharmaceutical distribution is a typical industry with heavy processes and compliance requirements. Code matching, auditing, product selection, and settlement are interlinked, relying heavily on repetitive manual labor while being particularly sensitive to errors. The challenge faced by the pharmaceutical distribution industry is to leverage AI productivity while maintaining data security and compliance standards. In June of this year, Tencent launched the WorkBuddy Enterprise Edition, focusing on addressing challenges related to organizational-level AI application governance, security, asset accumulation, and collaborative scalability, thus upgrading AI from a "personal tool" to a "governable enterprise platform." Shortly after the launch of WorkBuddy Enterprise Edition, 111, Inc. Sponsored ADR Class A integrated it into its core business workflows, currently applying it in scenarios such as drug code matching, preliminary reviews, intelligent product selection, after-sales verification, financial settlement, and efficiency improvement in R&D, freeing employees from repetitive and heavy transactional tasks. Tackling the toughest challenge of "code matching" 111, Inc. Sponsored ADR Class A is a leading internet healthcare platform in China, covering e-pharmacy and digital supply chains. Its B2C 111, Inc. Sponsored ADR Class A, B2B 1YaoCheng, and SaaS 1QiJiangKang encompass the entire pharmaceutical distribution chain, with direct procurement collaborations with over 500 pharmaceutical companies, resulting in a massive volume of code matching daily. Additionally, the industry is strictly regulated by GSP (Good Supply Practice), where product names, quantities, and amounts on invoices must be accurate. If theres any discrepancy, the entire invoice becomes invalid and must be reissued, along with all associated after-sales documents. In the past, this checkpoint relied on manual comparisons supplemented by spreadsheet documents for each entry. Today, with WorkBuddys assistance, staff can complete this complicated process in just two steps: upload drug data and specify matching criteria. The AI then automatically extracts key information, intelligently grouping different terminologies under the same standard drug based on "understanding intent," rather than strictly matching keywords. Any uncertain areas are flagged for manual review; the results can finally be delivered back to the business system with one click. New drug inventory is the most challenging scenario in code matching tasks and also where WorkBuddy's efficiency is most notable. When encountering new drugs not in the database, staff previously had to verify new drug information through the drug administration website, browse industry sites, and establish a new set of matching rules for the new drugs. Now, by providing the AI with a few examples, it can learn the rules and criteria for this scenario, analyze, compare, and match using publicly available drug and regulatory data, providing recommendations for new drug code matching rules and standards. The changes extend beyond speed. With these tasks handed over to AI, employees' roles transformfrom being mere executors focused on code matching to become policymakers and overseers of code matching rules: designing assessment criteria for new scenarios, auditing difficult items that AI is unsure about, and ensuring data quality and flagging anomalies. The time saved can then be redirected towards areas that require more experience and judgment, such as data governance and cross-department collaboration. From "super individuals" to "super teams" After successfully implementing the code matching scenario, WorkBuddy has now been repurposed for more work scenarios and positions within 111, Inc. Sponsored ADR Class A. For example, in product selection for procurement, product selectors previously spent weeks transferring data across systems, comparing results, and gathering departments for meetings to discuss product selection, order quantities, and shelf sales plans. If any link in this chain failed, out-of-stock and stock shortages were common occurrences. Now, product selectors only need to communicate their needs to AI, which can automatically connect sales, inventory, and supplier information, providing a one-click purchasing suggestion that improves introduction efficiency by 83%, reducing the out-of-stock rate from 4.9% to 2.4%. "Previously, checking if a batch of drugs matched required going through rows in a spreadsheet, often leading to overtime during busy times and risking oversights," an employee from 111, Inc. Sponsored ADR Class A said. "Now, with WorkBuddy, we can identify mismatches in a few hours. The time saved allows us to focus on vendor introductions, product selection, and sales strategies, which is where we can truly add value." More importantly, this shared knowledge no longer rests solely with individualsmethods for code matching, product selection, preliminary reviews, and after-sales verification have been systematically captured as Skills through WorkBuddy and made available to the entire company. Experience that was once locked in individual minds and scattered across various business lines has become a communal asset that everyone can access: new employees no longer need to start from scratch, and cross-department collaboration has a unified approach. As each employee becomes a "super individual" aided by AI, individual capabilities aggregate into organizational strength, and 111, Inc. Sponsored ADR Class A is transforming from individual "super individuals" into a highly collaborative "super team." A silent AI revolution is taking place The earliest users of WorkBuddy were front-line staff struggling daily with code matching. After trying it out, they genuinely felt an increase in office efficiency. During the public testing phase, when free allocations were running low, many front-line employees voluntarily funded expansion. Beyond this, employees have developed an increasing number of innovative uses for AI, such as creating mini-games for downstream pharmacies to use for promotions. The enthusiasm for AI among employees has driven the senior management of 111, Inc. Sponsored ADR Class A to decisively scale up purchases of the WorkBuddy Enterprise Edition. According to Hu Maohua, the Chief Technology Officer of 111, Inc. Sponsored ADR Class A, WorkBuddy has evolved beyond just an "efficiency tool"; "it feels more like one of our employees, with its own data permissions and responsibilities." The next step for 111, Inc. Sponsored ADR Class A is to extend these capabilities to downstream pharmacies and clinics within its ecosystem. Tencent Health will also partner with 111, Inc. Sponsored ADR Class A to continue deepening the implementation of AI across various stages of pharmaceutical distribution, bringing "digital employees" into more positions.