As the number of veteran craftsmen in traditional industries diminishes In Taiwan, SMEs have always played a central role in Taiwan's industry, accompanying Taiwan through various 'economic miracles' periods But as time progresses, the old masters gradually became elderly craftsmen Coupled with the phenomenon of fewer children and changes in the overall industrial structure, fewer and fewer of the new generation are willing to enter traditional industries Now, it can be observed that the main combination on most SMEs' operational fields is formed by 'elder craftsmen' together with 'foreign workers' These experienced craftsmen, who act as living dictionaries of field experience, suffer from a lack of successors to continue the tradition, leading to a growing difficulty in sustaining on-site experience transfer in traditional industries The limits of traditional hands-on process optimization are in sight Located in Tainan Baoan Industrial District, 'Tangxian Company' was established in 1972, initially manufacturing high-quality weaving equipment It possesses the capability to manufacture machinery, and in recent years it has actively developed environmentally friendly plastic recycling equipment in response to international green energy, recycling, and environmental protection demands Ultimately, they have successfully developed low energy consumption, low waste, high purity, and high output recycling granulators with a sleek and efficient machine design supplemented by advanced intelligent control technology Tangxian Company's self-developed plastic recycling granulator equipment However, in the production process of plastic recycling, when faced with hundreds of material types and dozens of process temperatures, speed settings, what is faced is thousands of possible parameter combinations Previously, the adjustment of various production process conditions was reliant on the on-site staff the experience of the craftsmen Thus, during the transition of production of different incoming materials such as PET, PP, PE, a significant amount of raw materials would be wasted during the trial phase The professional information gap in traditional industries Tangxian Company recognizes the importance of data In the past, although process parameters were recorded, due to a lack of data capabilities at the time, it was primarily in paper form, manually written down by the operating staff, accumulating a large amount of paper data However, this also meant a lack of scientifically accurate and detailed information available for real-time reference and adjustment Process parameters logbook, records the state of about a dozen machines and production figures hourly In quality control as well, due to a lack of control over the quality of output and monitoring and feedback mechanisms for unit time production, it becomes difficult to predict the profit conditions of each batch Production management can only estimate and average cost and productivity changes over the process from the outcomes, without being able to objectively and timely restore the production conditions to reasonableness or make clearer adjustments when facing quality abnormalities Site reality left image shows recycled scraps right image shows pellet production Taiwanese manufacturers possess strong machinery manufacturing capabilities, and many modern machines now have data capabilities, recording real-time status and information via IoT But is the infrastructure of the factory's on-site and information systems ready yet When the Old Master Meets AI With government referral, Tangxian Company partnered with a Taiwanese data science company, working together to integrate AI services and optimize internal processes using AI They started with a medium-sized plastic recycling production line within the factory as a trial field After establishing a successful benchmark, this model was expanded to larger plastic recycling machinery within the factory to continue verification and application Initially, both parties converted the past handwritten paper data into digital format using OCR supplemented by manual correction Tangxian Company also worked with the supplier of the human-machine interface of the machinery to integrate the control panel and parameter data into the factory's database, allowing real-time monitoring of machine status and eliminating the complexities and potential errors of manual transcription Panel of plastic recycling granulation machine, showing current process temperatures, speeds, and power usage Meanwhile, the Taiwanese data science company further modeled dozens of parameter data through AI, conducting scenario analysis to simulate various production possibilities under environmental parameters and material inputs, identifying key characteristic parameters and providing parameter adjustment recommendations to decrease costs during the trial phase Applying data analysis to traditional industry machinery processes After the old master receives the raw materials, they only need to enter the relevant material characteristic parameters, and the system automatically generates recommended process parameters After small adjustments by the old master, they proceed with the trial production of the material, effectively reducing the waste of materials, water, electricity, and manpower caused by incorrect attempts Moreover, Tangxian Company has proactively deployed the concept of 'production pedigree' in the plastic recycling process, allowing the batch's raw materials and process parameters to be accessed by scanning a QRCode Production and sales pedigree of plastic recycling pelletizing Taiwan's SMEs have strong machinery capabilities, just waiting for the 'east wind' of data From industrial revolutions 20 to 30, even 40, many Taiwanese SMEs face challenges in transitions not just in upgrading machinery, but after investing in modern equipment and generating data, they do not know how to utilize it effectively It is impractical for these manufacturers to develop a specialized data analysis department on their own meanwhile, Taiwan also has many innovative teams with strong software capabilities in AI and data analysis, possessing the technology but lacking the field and data Therefore, if the traditional industries of Taiwan could be fully integrated with the innovative teams in AI and data analysis, it would not only address the current challenges of manpower and experience transfer faced by traditional industries but also advance Taiwan's development and application of AI significantly「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Jinfeng Machinery Industry, the fourth largest punch press manufacturer globally, has developed an app that connects with LINE, WeChat, and IM emergency communication software Regardless of the number of machines, integrated through a single platform, the production and equipment status can be monitored in real time via mobile phones and tabletsEstablished nearly seventy years ago, Jinfeng Machinery is one of the unsung heroes behind Taiwan's early 'living room as factories' approach, with household subcontracting tasks such as spoon and button metal pressing handled by Jinfeng's machines With the advent of Industry 40 technologies, this 'hidden company' based under Bagua Mountain in Changhua had to adopt AI robots to swiftly address malfunctions and reduce wait timesReal-time monitoring AI robots have become essential assistants on the factory lineGM of Jinfeng Machinery Industry, Tseng Sheng-ming famously said 'Always consider the next step for our customers' With an annual revenue of over 75 billion New Taiwan Dollars, a single day of factory downtime equates to a loss of over 20 million dollars At the forefront of Industry 40, Jinfeng uses various sensors to remotely monitor the operational status of machines and record data Through network-connected gateways that integrate peripheral equipment, monitoring data is transmitted to databases to quickly detect and reduce the risk of downtime Cloud-based, 247, 365-day repair registration and constant monitoring are aimed at achieving the goal of an unmanned factory金豐機器工業總經理曾盛明的名言是：「永遠為客戶設想下一步」，年營業額逾新台幣75 億元的金豐，工廠停工一天等於損失2,000 多萬元，走在工業 40 的浪頭上，金豐透過各式感測器遠程掌握機台運作狀態並記錄數據，運用網路連接閘道器整合周邊設備，將監測數據傳送至數據庫，快速檢知降低停機風險，雲端線上全年365 天、每天24 小時報修等隨時監控，以實現無人化工廠的目標。To speed up the resolution of machine malfunctions, Jinfeng Machinery Industry introduced a customer service chatbot developed by Asia-Pacific Smart Machine Company, featuring multi-round dialogue capabilities Combined with a knowledge graph in the punching field, operators simply need to inquire through the proxy robot to quickly obtain troubleshooting solutions and repair quotes, eliminating the need to wait for Jinfeng technicians to handle issues on-site This approach has reduced downtime to within one day, cutting the time spent on factory malfunction resolutions by up to 50Accelerated security screening processes can significantly save up to 30 of manpowerBy applying AI technology for machine understanding, Asia-Pacific Smart Machine facilitates immediate and accurate problem classification through inquiries by customers and front-line staff Online responses to operational issues and needs are synchronized, scheduling repair personnel and materials to quickly resolve faults and effectively reduce downtime losses In the field of tool machines, Open Talk can integrate with Industry 40 tool machines for machine control and real-time data queries Engineers no longer need to use smartphones or tablets they can simply use voice commands to control machines and make inquiries through installed speakers or robots, promptly notifying maintenance when issues arise, keeping repair time within one day Moreover, the technology provided by Asia-Pacific Smart allows for automatic detection of which production line is problematic, type of issue, and management of the situation, speeding up the repair process and potentially saving up to 30 of manpower「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Guo Fang Enterprise, the largest professional Velcro factory in Taiwan, produces Velcro, commonly known as hook-and-loop fasteners World-leading medical equipment suppliers like DJO and the zipper-originated company YKK are among its clients Guo Fang has gained the trust of major manufacturers like YKK mainly by implementing intelligent manufacturing, allowing effective inventory management with the introduction of an e-commerce direct purchase order parsing automation robot, thus solving all inventory problemsGuo Fang Enterprise, a leading Velcro hook-and-loop fasteners manufacturer, was established in 1984 Initially, it had 30 employees, and now it employs over 330 people across Taiwan and VietnamGuo Fang Enterprise offers a complete service from raw textile mills, weaving mills, dyeing and finishing mills, to setting mills Through tensile and color testing, professional computer analysis is used to select pigment combinations and ratios, providing stable product quality, effectively differentiating in the market, and establishing a leading position in the high-quality Velcro market, selling to over 60 countries across five continents Top global medical equipment suppliers like DJO and international giants like YKK are among Guo Fang's clientsCurrently, up to 15 e-commerce platforms rely heavily on manual labor for order sorting, inventory management, and shipping tracking, rendering human resources ineffective in product and market development Although additional temporary workers are employed, updating a single e-commerce platform's information requires working until the following February, making it difficult to respond quickly to market demands Limited by human resources, product information details are insufficient, causing difficulties in improving product ratings on platforms like AmazonIntroducing AI Robots to Fully Control Product Inventory InformationThe team at the Information Management Agency, addressing the aforementioned issues, provided an e-commerce direct purchase order parsing automation robot for trial Based on the new product information provided by Guo Fang, it automatically lists products on e-commerce platforms and periodically checks ordersGuo Fang's ability to gain trust from major manufacturers like YKK is primarily due to the introduction of intelligent manufacturing The manufacturing process variables such as temperature, humidity, and speed are quantified into data, which not only allows for efficiency improvement and reduced wastage after accumulating a large amount of production data but also enables small-scale diversified production Even orders for less popular items can be acceptedDue to the characteristics of small-batch diversity, Guo Fang Enterprise has to process over 4,000 orders annually into shipping documents Usually, it takes about 15-30 days to issue documents and deduct inventory, resulting in always inaccurate inventory records Therefore, the team at the Information Management Agency has utilized an AI software robot solution to develop a POS inventory management automation robot application Upon order placement, no manual dispatch is needed for issuing it automatically connects to the POS to deduct inventory, instantly synchronizing inventory amounts in the POS system across all platforms, ensuring the reliability of product inventory information「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

As Taiwan's elderly population gradually grows, more and more people require long-term care, but the supply side is never enough to support such a huge demand In the past, a total of 110,000 caregivers were trained, but currently only about 20,000 are actually engaged in care work According to estimates from the Ministry of Health and Welfare, long-term care 20 will require more than 30,000 care workers, indicating that there is still a large manpower gap to be filled In addition, the turnover rate of nursing staff is also extremely high, which makes the situation even worse This dilemma has caused the elderly who should have received proper differentiated care to be unable to be properly taken care of In addition, it has also caused institutional operators to spend huge time costs on education and training, thus reducing the quality of care AI Silver Care Smart Platform 1 Basic hospital management basic settings, equipment settings, hospital authority role settings, staff management, face recognition, resident role management, fall risk assessment, and bedsore risk assessment 2 Bed management bed management and bed status 3 Resident management resident information basic information, bed records, face recognition forms, resident case closure information 4 Message record face recognition record, fall message record, electronic fence message record and blood glucose machine remote measurement result record On the upper right side are matters that need to be reminded of residents, such as quarterly assessments, new residents within 72 hours, care plans, rehabilitation plans, treatment plans and nutritional assessment plan personnel The lower right is the resident search list and the newly added new resident block The right is the assessment service plan reminder Click to check which residents need to arrange time for the plan Machine and equipment settings If new machines and equipment in the hospital need to be added, such as face recognition lenses, after clicking on the new device in the upper right corner, the corresponding device ID, field name, IP location, and device type can be set After entering the status, account and password, the connection settings between the machine and the corresponding field can be completed Machine and Equipment Settings Permission settings Add a permission button in the upper right corner After clicking it, you can add a permission role and check the CHECKBOX corresponding to each major function This function corresponds to hospital staff management, and you can create new hospital staff corresponding to permission roles , in this way, the member's login account password will have member-exclusive functions appear in the left menu, achieving the purpose of authority control personnel Permission settings Bed Management After clicking the Add Bed button, you can enter the corresponding field name such as which building, regional classification name, dormitory name A01 and bed number 0106 fields, all beds in the hospital After the construction is completed, the beds will be available for residents to choose from Bed Management Bed status You can check whether the current bed is corresponding to the resident If it is corresponding, you can also use the hospital bed to query the corresponding resident information After clicking on the bed history record query, you can query the historical information of all beds occupied Bed status Resident information list When a new resident moves in, he or she can click the Add Resident button on the homepage to enter this page After clicking the Add button, it will be divided into four major categories basic information, emergency contact person, personal living conditions, and imported finances to fill it in After completion, press the save button to return to the resident list Find the newly added resident and click on the case medical record function In addition to the basic information above, there are four items of information that need to be completed for individual residents, such as resident photos and attachments Information, meeting minutes and evaluation records You can upload three photos of residents, which can be used for face recognition and homepage profile pictures The documents to be attached include a copy of the ID card, a household register or a copy of the household registration, a family tree, an ecological map, a low- and middle-income certificate, a disability handbook, a subsidy letter, photos of financial items, and other items Minutes of the meeting are taken to assess the completion of the service plan items to be carried out The evaluation form is to understand the residents in more detail The information and analysis items need to be filled in The system will draw conclusions based on the item analysis and provide the nurse with reference for the care plan Basic information on residents Information attached to the Resident Inspection Import Case AI Silver Care Smart Platform Residential Inspection Attached Information Fall assessment for new residents One of the items in the assessment form is fall risk factor assessment Fill in the questions in the field below, and the system will give a score to determine whether there is a risk assessment judgment This is the current organization's early assessment of fall risk Prevention mechanism Service plan generated 1 Service plan generation 2 Smart reminder function There is a reminder function in the lower right block of the homepage For each resident every month or quarter, after calculation by the system, it will automatically remind nursing or social workers to fill in the form and complete the work required by the resident Smart Reminder Entrance Click on the check-in assessment link to enter the list of residents who need to fill in the information Agency staff then fill in the information according to their nursing or social worker status After completion, the reminder for the residents will disappear and the reminder message will appear again next month Remind evaluation service records The system will also automatically remind you to evaluate the service records every week After the caregivers complete the care plan, they must make a relevant record sheet every week to check whether each service is consistent Smart evaluation function After selecting the residents to be queried, click the evaluation function to enter the evaluation query list Evaluation Query List Import Case AI Silver Care Smart Platform Evaluation Record Click on the evaluation plan query to retrieve all previously recorded data from the system for evaluation use The query records filled in each form will be displayed on the following page in sequence according to the sub-functions Since the AI function of fall and pressure ulcer risk assessment is based on 11 physiological data, the service can be spread to the elderly outside long-term care residential institutions, such as the elderly in day care services and the elderly in home services By It is expected that next year it will be extended to the elderly in day care institutions and the elderly in need of home services 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Trends in financial regulation As the world pays greater attention to regulatory supervision, various fields are facing increasing compliance costs If we were to ask what was the fastest growing field in 2020 I believe many people will think it is regulation The trend of strict supervision has been the most severe in the financial industry Supervisory agencies In Taiwan, including the Financial Supervisory Commission, have imposed growingly strict supervision requirements on the financial industry, as well as heavier fines In response to these supervisory measures, the financial industry gradually implemented new internal control and internal audit systems for compliance a few years ago, such as the assessment of regulatory risks, business units appointing compliance managers as the first line of defense, and compliance self-assessment system Current manual compliance process of compliance personnel However, there is a plethora of financial-related laws and regulations, and business units have a large number of complex business manuals Therefore, many compliance personnel of financial institutions must spend a lot of time on tedious and highly repetitive comparisons of internal and external regulations, in order to help companies avoid risks or fines due to not proposing response measures in their internal regulations when laws are amended Compliance personnel spend a lot of time dealing with regulatory changes Lawsnote Compliance System Solution As Taiwan's leading legal technology solutions provider, Lawsnote received many requests from corporate customers for a compliance system, and began to look into solutions for applying AI to compliance systems It thus developed the Lawsnote RegTech compliance system for compliance personnel to automate parts of their work process, reducing the tedious and repetitive work of compliance personnel Lawsnote automates regulatory changes and internal regulatory adjustments A Regulatory database, search, and notification of regulatory changes As the basis of the RegTech system, the compliance process is triggered by "regulations", so it is necessary to have a "complete" and "real-time" regulatory database and regulatory update mechanism for specific fields However, regulations are not limited to "laws" enacted by the Legislative Yuan, but also include "administrative rules" and "legal orders" enacted by administrative agencies authorized by law, as well as "administrative interpretations" used to interpret regulations These are all considered regulations that the compliance system must comply with There is currently no unified data source for these regulatory data Except for the Laws amp Regulations Database of the Republic of China Taiwan, many regulations are scattered on independent webpages for regulations on the websites of different agencies, organizations, or associations, making the cost of collecting complete regulations very high Since laws and regulations will be amended, new administrative letters and interpretations will be issued or old ones abolished, updating regulatory changes is also a big problem Even if complete laws and regulations are collected once, failure to continuously monitor changes in laws, regulations, and administrative letters and interpretations will also create a gap in compliance As a professional legal search engine, Lawsnote has a complete database of regulations and interpretations, and can send notices of regulatory changes required by various fields in response to the needs of compliance systems B1 Internal regulations database and search Internal management by companies through regulations are called "internal regulations" General types of internal regulations include company internal regulations, standard operating procedures SOPs, and business instruction manuals Depending on the intensity of industry-specific supervision, the number and density of company internal regulations will vary depending on the industry In industries with high supervisory density, the number of internal regulations sometimes reaches thousands or even tens of thousands With such a huge number of internal regulations, paper or simple filing systems can no longer meet the internal needs of enterprises The process of searching for and complying with internal regulations might require a significant amount of time and personnel costs if an internal regulations database and search engine are not establish Lawsnote has Taiwan's most powerful legal information search engine, patent search technology, and uses AI to optimize its sorting algorithm It can establish an "internal regulations database"for internal data, such as company internal regulations, SOPs, and instruction manuals, and applies search engine technology to the internal regulations database, achieving a fast, complete, and easy-to-use internal regulations database and search engine B2 ltRegulations ndash Internal Regulationsgt Article-to-Article Linking Mechanism When regulations are revised, the company's internal regulations must also be inspected and adjusted accordingly The company's internal regulation inspection procedures may be initiated by compliance personnel based on regulatory amendments, or may be initiated by the compliance officer of the business unit the first line of defense, and then reviewed by compliance personnel the second line of defense However, regardless of which unit initiates it, the difficulty lies in finding the article of internal regulations that correspond to the amended article of the law to determine whether amendments are necessary Due to the large number of internal regulations, complicated terms, and the different forms of business involved, if internal regulations must be reviewed every time laws and regulations are revised, it will consume a huge amount of time Therefore, compliance personnel usually rely heavily on experience and aim to minimize risk within limited time Moreover, due to the way internal regulations are written, often using different methods to significantly rewrite and break down laws and regulations, making comparison very difficult for programs If the existing program is used to compare internal and external regulations, many internal regulations cannot be effectively determined After research and testing, Lawsnote designed 3 AI algorithms and 4 rule-base algorithms for cross-comparison, which can establish article-to-article links between thousands of regulations and company internal regulations, helping compliance personnel to immediately determine the necessity of revisions to internal regulations when regulations are revised, significantly saving review time and reducing compliance and internal control risks C Internal control and internal audit self-assessment process for compliance In order to ensure that the compliance officer of business units properly carry out the compliance process, some companies will implement mechanisms such as compliance self-assessment and compliance education, and require the compliance officer of business units to conduct self-assessment of internal control and internal audit processes and review existing risks Compliance personnel or auditors must summarize self-assessment results, or prepare a risk matrix to monitor compliance risks and track vulnerabilities The Lawsnote RegTech compliance system supports expanded workflow solutions, which can extend the workflow to the compliance self-assessment process, customize the integration of the current system and compliance system, and merge the organizational structure and SSO permission control mechanism to create a one-stop compliance system Three core modules of the Lawsnote compliance system Incorporates foreign regulations and is the number one compliance tool for companies Lawsnote will continue to optimize regulatory text parsing and identification technology In addition, we will also develop other legal technology application tools and become the number one compliance tool for enterprises with all-inclusive services In addition to domestic regulations, Lawsnote will also incorporate foreign regulations into the system, so that multinational companies in Taiwan can access information on domestic and foreign regulations Lawsnote has always focused on AI applications, data mining, algorithm design, search engines, and workflow optimization in the legal field, and is committed to saving the time of legal professionals through technology

Direct delivery of fresh vegetables and fruits from Shangqing, temperature control is key Preserving the freshness of vegetables and fruits is one of the crucial aspects of the agricultural production and sales model Enhancing the efficiency of fresh preservation and integrating cold chain transportation management are critical issues that agriculture businesses need to address In Taiwan, agricultural lands are small and scattered hence, entering the cold chain transportation immediately after harvesting and strict temperature control are essential for maintaining freshness Instances of temperature loss and cold chain transportation breakdowns are increasingly evident The vegetables supplied by the vendor have been highly favored in the market recently, achieving record sales in chain supermarkets and making efforts to enter higher-end consumer markets Recent acquisitions of fresh vegetable supply channels from McDonald's, Costco, and Taiwan Plastic's Steakhouse highlight the need for previously unnoticed issues in the company's own cold chain transportation system to be addressed and enhanced for storage and transportation efficacy Incorporating more IoT and AI architecture and functionalities This 'AI Cold Chain Transportation Breakage Warning System' uses IoT and AI technology to help vegetable suppliers analyze their cold chain systems, particularly focusing on personnel management and resource wastage or damage to fresh products due to improper decisions by personnel By using the Beacon system, AI analyzes the movement paths of chilled goods within and outside the company, personnel needs management, and data analytics It considers neural network learning elements like 'movement paths of chilled goods after storage', 'personnel involvement', and 'product quality at sale' By learning through AI, the system solves and enhances 'internal personnel merchandise quality', 'external chilled vehicle service quality', and establishes 'product quality monitoring and warning' functionalities, achieving comprehensive beneficial effects IoT sensor data collection Based on different needs of each refrigerated space of the vegetable supplier, temperature or humidity abnormality alarms are set When an anomaly occurs, the authorized person's app notifies with a push notification and informs the SOP For more critical issues, an SMS push service is available to notify surveillance personnel not equipped with the app to handle urgent procedures at once, minimizing loss Temperature and humidity sensors placed in refrigerated spaces Refrigerated storage monitoring system APP screen 為確保生鮮蔬果運送過程中溫度未被破壞，也確保進出冷藏室時間差以保證產品品質，並確保商品於正確時間送達正確地點，「Beacon溫度、濕度監測系統」能依據現場條件自動調整Beacon訊號發送間隔時間（自5秒鐘至5分鐘），且電力能維持至少1年，而溫度、濕度蒐集設備則可應用到非AI功能之冷鏈追蹤記錄系統，並藉手機APP便能獨立偵測、蒐集並進行運輸過程冷鏈溫濕度追蹤，著實大大提升運送過程控管的便利性 Beacon溫度偵測設備安裝 Beacon溫度偵測設備安裝 運送行為資料蒐集 此次合作的蔬果供應商其冷鏈監測項目，包含：位於集貨廠內之真空高速降溫冷卻機（可將貨品快速降溫至0～3）及12個冷藏庫、理貨場的堆高機工作環境溫度大約20～25，停留時間不超過20分鐘，運送車輛上車前車輛裝載空間溫度約0等，這些條件理論上都可符合整體冷鏈需求，但實際運作上卻出現相當多狀況。 此次合作除落實冷鏈運輸及管理細節，同時確保產品運送品質，萬一在運送過程品質發生問題，也能在第一時間透過系統得知貨品狀況，若「貨品已經損壞」則立即退回不要出貨給客戶，若是「成為高風險貨品」（可能保鮮期變短，則立即做成便當或特價促銷處理），若是「安全抵達」則可以追蹤整體運輸溫度變化及批次貨品品質確認，同時對於送錯目的地貨品之狀況也能夠立即追蹤處理，避免交易糾紛，有效降低冷藏產品的失溫耗損比例 Beacon訊號偵測設備安裝 AI建模進行冷鏈風險分析評估 導入AI建模分析後之成果可有效監視每一批冷鏈商品運送過程之品質，同時提供合作企業最真實的冷鏈品質回饋，管理階層對於每日大量之儲存、運輸貨品一目瞭然，同時，系統在人員還沒得知產品因為溫度變化而導致品質改變前，便可立即主動示警，有效減少商品損壞可能。 系統管理後台介面 導入AI及物聯網能量後，大幅提升90以上附加價值 一、冷藏商品失溫損壞比例降低62 以蔬果供應商108年3至6月之牛番茄產品損壞率21做為產品損壞之依據，本計畫系統建立後，冷藏商品因溫度變化品質受損之數量，較安裝AI冷鏈監測系統後之108年7至10月牛番茄商品損傷比例可降低至87。 二、提升產品價值30 以蔬果供應商108年3-6月之牛番茄產品銷售額12,464,175元做為提升產品價值之依據，以物聯網加值AI功能後之冷鏈管理系統價值，較只使用溫度記錄裝置管理系統之價值，108年7至10月牛番茄產品銷售額提升率可達30。 蔬果供應商導入AI冷鏈運輸斷鏈預警系統，展開智慧運輸新篇章 蔬果供應商導入AI冷鏈運輸斷鏈預警系統，可降低冷藏商品失溫損壞比例並提升產品價值，更可利用自動預警過期機制，智慧化記錄空間溫度變化並精準監測物品存放位置。未來在冷鏈營運上，將佈建全新冷鏈服務通路，並多方應用冷鏈品質追蹤管理技術，建立智慧運輸的新篇章「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Traditional manufacturing quality control relies on visual inspection, which damages both quality and goodwill According to research of the International Data Corporation IDC, 25 of Taiwan's manufacturing companies adopted artificial intelligence AI in 2018 The companies mainly focus on two needs, one is quality testing, and the other is predictive maintenance of equipment However, in many traditional manufacturing industries, finished products from the production line are still manually inspected The problem with manual inspection is that long working hours and eye fatigue often result in inconsistent quality, and the shipment of defective products with miniscule defects that cannot be identified with the naked eye results in compensation of damages and damage to goodwill Poor sealing film can have a massive impact For a domestic coconut jelly product manufacturer, in the coconut jelly product manufacturing process, sampling inspection of the integrity of product sealing film is conducted manually, but the coverage of sampling inspections is 25 due to human resource arrangements and fast production line speeds If a product with poor sealing film is shipped, it will not only cause damage to the single can of product, but also contaminate products in the same box and transportation vehicle, and attract mosquitoes and flies, causing overall hazards and affecting goodwill In addition, since the product is a highly concentrated processed food, if products with poor sealing film are not detected and the buyer does not inspect the products after shipment, it might cause a food safety crisis with huge consequences Therefore, the "AI quality control inspection solution" not only improves inspection coverage, but also hopes that the AI system can accurately pick out products with defective seals, reducing the chance of defective products being shipped and subsequent food safety issues Smart sealing yield inspection, comprehensive review Schematic diagram of sealing film recognition system ZeroDimension Tech Co, Ltd combined its know-how in image-related AI systems with the system integration know-how of another well-known system integrator in the industry to jointly develop a "smart factory sealing yield inspection system," which was integrated and implemented in the process of coconut jelly manufacturers, increasing the coverage of product seal inspection Before utilizing the capabilities of AI, the original production line produced 100 boxes about 600 cans with a yield of 95, meaning that there are about 30 defective cans However, since the inspection coverage was only 25, only 1 defective can was detected However, after utilizing AI for inspection, the inspection coverage rate increased to 96, meaning that about 28 defective cans can be detected, greatly increasing the detection rate of defective products, thereby reducing potential losses in the future Whether it adds value as an add-on or is built-in, it can provide solutions for the industry Schematic diagram of inspection service process This sealing film inspection system service framework can be implemented into the quality control inspection of other similar inspection processes in the form of an add-on in the future, such as integrated into the film sealing production process of beverage factories and other canned products It can also integrate software and hardware with sealing machine hardware manufacturers to add value to sealing machines using the build-in model, providing the industry with total solutions

The freshness and quality of ocean fishery products affect sales Edible deep-sea fish such as salmon, squid, pomfret, and white pomfret are favorite fish species of the Chinese people According to the 2018 Fishery Statistics Annual Report, the output value of offshore fisheries is as high as 357 billion yuan, accounting for 10 of Taiwan’s fishery industry The total output value is nearly 40 The main importing places for Taiwan’s distant-water fisheries are Norway, Scotland, Sri Lanka, Canada, Australia, India, New Zealand, Maldives and other places Part of the triangular trade is imported from the Middle East, India, Norway, and Sri Lanka, and then frozen and chilled sharks are re-exported to mainland China The fish products of a domestic fishery product import trader mainly consist of chilled fish products, which are characterized by freshness and good quality Therefore, the fish products are all shipped to Taiwan by air After customs clearance at the airport, they are directly handed over to the freight forwarder The operator distributes to agents or distributors in major wholesale fish markets across Taiwan Therefore, the ability to accurately predict the transaction prices of each fishing market and the sales volume of agents every day has become the key to making a profit that day There is currently no effective way to predict the price of fishery products the next day There are two ways for importers of fishery products to sell fish to wholesalers One is "consignment sales" it is mainly based on commission After the agent deducts necessary fees and commissions from the payment received from the sale, The balance is fully delivered to the traders the second is "goods selling" the fish products are sold directly to downstream dealers Among the two, the consignment method is the largest After the consignment sells the fish, the consignment will return the selling price to the company on the same day The business owner will collect payment from the consignment regularly after deducting commissions from the reported selling price Therefore, whether different fish products can be sent to relatively high-priced fish markets for sale every day has become the key to whether the day is profitable however, this key factor depends on whether the transaction prices of each fish market can be accurately predicted and Reseller sales However, as climate change causes ocean temperatures to warm and catches become difficult to estimate, price fluctuations in local fishing markets are less manageable than in the past Currently, there is no effective way to predict the price of fishery products the next day Shipping decisions are all made by staff based on rules of thumb It is difficult to grasp the profit factors We can only depend on the fate of God and market prices There is a risk of loss every day Intelligent price prediction-a tool for fishing trade Weiying Information Technology Co, Ltd uses a web crawler program to automatically extract the price and volume information of each fishing market in Taiwan on trading days and the climate data recorded by the local climate observatory, and then uses the neural network to match the machine Learn the model established to predict the trading price of fishery products the next day Modeling with climate data AI intelligent price prediction model operation process The transaction prices of fishery products come from the "Fishery Products Global Information Network" Its website records the price and volume information of various fishing markets in Taiwan on trading days Climatic data is obtained from the "Observation Data Query System", including precipitation, wind direction, wind speed, air pressure and other index values The above two websites are open data established by the public sector, and the data volume is sufficient, detailed and stable This "AI smart price prediction model" targets Keelung Fishing Market, which accounts for the largest sales volume It combines climate data and fishery market data as the "input variables" of the model, and the "predicted variables" output by the model are each The trading prices of fish species on the day the data on the day that still have missing values in the data are eliminated, and divided into a training set and a test set at a ratio of 82 for model training Based on the forecast data, algorithms are used to determine the best distribution combination, and Line BOT voice robots are used to communicate with consignors about the fish items, specifications and quantities they require Robotic process automation RPA is used to streamline manpower and improve efficiency AI intelligent price prediction system operation process "AI intelligent price prediction model" effectively increases sales gross profit margin, and future business opportunities are just around the corner Traders import AI robots into the enterprise process system, and then use algorithms to determine the best distribution combination based on forecast data They contact distributors through the Line bot voice robot to complete distribution decisions and information transmission, streamlining manpower and increase gross sales profit margin Contact resellers through Line chatbot 1 Contact distributors through Line chatbot voice robot 2 Contact distributors through Line chatbot voice robot 3 Contact resellers through Line chatbot 4「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Where to find a convenient and useful laundry service provider What to do when you want to send clothes for dry cleaning but can't reach them by phone to confirm if they are open today Is the dry cleaning shop's APP space-consuming and not user-friendly What if there are issues with the clothes after cleaning and there is no customer service system to handle complaints promptly According to statistics from the Directorate-General of Budget, Accounting and Statistics, the number of laundry businesses in Taiwan surpassed 6,000 in August 2019, making it a major challenge to stand out among many laundry providers Complaint Management, Dangerous Edge A domestic dry-cleaning brand chain store launched a laundry app in mid-2015, featuring 'At-Home Laundry Collection and Delivery' The app now has 20,000 downloads, approximately 6,000 members, and is actually used by about 300 people each month Despite such convenient service, it has received many negative reviews from consumers, causing difficulties in expanding operations The problems and improvement needs it faces are as follows 1 Lack of incentives for consumers to download the app and the high costs Consumers need to download the app to use the service, and 'how to entice consumers to download' is the biggest challenge for the app service The logistic costs are much higher than competitors due to the affordable, high-quality ideology with home collection and delivery service, and the costs of marketing the app make it difficult to achieve sustainable operation 2 Staff shortages leading to customer service issues The original customer service method of the app was primarily by email Due to insufficient staff, it was not possible to service by phone, thus delays in response and often overlooks of consumer issues occurred, leading to customer dissatisfaction Most customer complaints occur after the consumer receives the clothes and finds issues like missing items, damages, or color differences after washing Upon receiving the complaint, customer service first requests photos of the laundry bag from the factory and then asks the consumer to provide photos of the received items for comparison If it is concluded that the issue was not due to factory negligence, the factory-provided photos are sent to the consumer to clarify the matter This customer service process requires a lot of manpower and time, seriously lacking in service efficiency Perfect AI Customer Service Experience Siyan Technology Co, Ltd and the AI team Chester International Ltd collaborated to create the 'Smart Online Reservation Service System' through data analysis and intelligent customer service, facilitating online appointment and home collection of laundry services and building a 24-hour reservation and customer response service The intelligent customer service adopts the latest artificial intelligence deep learning, automatically records each QampA session, possesses error correction capabilities, and introduces new services like customer service forms, push notifications, customer service robots, and LINE human customer support, greatly improving the convenience of customer contact and confirmation, significantly shortening customer service response times, and also providing more immediate services Through data analysis, an automated AI membership management strategy is created, effectively increasing consumer repurchase rates and satisfaction 1-on-1 LINE Human Customer Service At-Home Laundry Smart Service System Lowering the barrier to using the service, effectively improving customer service satisfaction The dry cleaning brand chain store initially required downloading the APP for use however, after implementing AI chat-bot technology, it has been converted to only requiring addition to LINE for use The switch in service entry points has already significantly boosted consumer willingness to use during the pilot phase, with corresponding increases in orders and sales Future expansions will include online keyword advertising as well as in-store promotions, and a marketing strategy 'Old members invite new friends for discounts' has been planned The system is also applied to the food and beverage industry, and will continue to be promoted to other suitable industries The dry cleaning brand chain store has planned to establish 'small outlets', reducing the personnel needed to check orders and clothes, and has contacted locker services for collaborations to serve customers more broadly「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」