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【2020 Application Example】 At-Home Laundry Smart Service System, through AI membership management, creating an intelligent laundry industry

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 Q&A 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

▲1-on-1 LINE Human Customer Service

At-Home Laundry Smart Service System

▲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」

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【導入案例】防患於未然 麗臺科技研發心臟衰竭AI辨識技術可及早發現病徵
Preventing Problems Before They Arise: Leadtek Research Develops AI Technology for Early Detection of Heart Failure Symptoms

With the increase in the elderly population, the incidence of various chronic diseases is rising daily Among these, heart failure is not only a silent killer it has a very long disease course with a high recurrence rate, leading to increased burden on healthcare personnel However, by using medically certified electrocardiography acoustics devices, coupled with AI predictive assessment of heart failure risk and remote care systems, diagnosis can be aided significantly, helping doctors make accurate diagnoses for subsequent patient medical care or referrals Heart failure has a lengthy course and medical expenditure is five times that of diabetes If you find yourself short of breath even with minimal movement, or if you wake up from sleep needing to sit up to feel comfortable, or if you have symptoms such as swollen lower limbs, anxiety, restlessness, fatigue, or a loss of appetite, be cautious These could be signs of heart failure According to statistics, there are about 60 million 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Leadtek, a major graphics card manufacturer, has been investing in the medical and healthcare sector since 2000 Following two heart attacks in 2011 and 2015 experienced by Chairman Lu Kunshan, Leadtek has focused on health big data, independently developing AI technology for heart failure recognition This AI application reads patients' electrocardiograms and phonocardiograms to perform anomaly detection and model prediction of heart failure risk, enabling early detection of disease symptoms Leadtek independently developed heart failure AI recognition technology to predict medical history and risk Leadtek's independently developed heart failure AI recognition technology has the following three judgment functions 1 Prediction of heart failure history Classifies electrocardiogram and phonocardiogram data into 'with hospitalization history of heart failure' and 'no history of heart failure' 2 Risk prediction of heart failure Provides a predictive risk value of heart failure occurrence based on the electrocardiogram and phonocardiogram data 3 Prediction of heart failure recurrence risk For patients with heart failure, it reads their phonocardiogram and electrocardiogram data, assessing the risk prediction of heart failure recurrence Leadtek states that the application of heart failure AI recognition technology can assist doctors in making more efficient and accurate diagnoses, facilitating subsequent medical treatment or referrals for patients As an instance, in studies of heart failure patients discharged from Taipei Veterans General Hospital, using the EMAT Electromechanical Activation Time index and SDI Systolic Dysfunction Index calculated by the synchronized electrocardiography-acoustic device as treatment guidelines resulted in a higher survival rate compared to those treated based on traditional symptoms This research has also been published in the authoritative international cardiology journal JACC, receiving recognition in the international market System 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mobile APP and observing the risk of heart failure, engaging in exercise and rehabilitation training to aid in swift recovery The heart failure AI recognition technology system can also be extended to employee home care applications Additionally, in factories or offices, this system can also achieve employee health management goals, with applications including One, workplace safety units Provide employees with wearable electrocardiogram recorders before they start work duties Two, physiological monitoring for business executors While executing business duties or training, employees wear wearable electrocardiogram recorders for fatigue warnings, signaling whether physiological conditions allow continued execution of tasks Task segments can use data transmission boxes or apps to upload physiological monitoring information to the health management platform, assessing the heart failure risk for operations staff, with test data serving as an indicator for enterprise resource human units and public safety Three, workplace physiological monitoring center care The workplace physiological monitoring center can inspect and record employees' historicalphysiological trends through the health cloud platform Four, workplace nursing units Nursing units receiving instructions from the physiological monitoring center can provide health management advice based on employees' physiological trends nursing centers can manage employee health through the health management backend Web Five, employees can wear health bracelets to monitor activity, fatigue, circulation, and sleep, autonomously managing their health and observing the risk of heart failure through the mobile APP, engaging in exercise and rehabilitation training to aid in rapid recovery Workplace application of heart failure cloud care and big data center diagram「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】搭上綠能商機 華鉬實業打造全釩液流電池儲能系統設備 長效儲能的最佳選擇
Taking advantage of green energy business opportunities, Hua Molybdenum Industry creates all-vanadium redox flow battery energy storage system equipment, the best choice for long-term energy storage

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establish a local supply chain of vanadium flow battery electrolytes around the world by accumulating abundant technology and performance capital to supply industry needs nearby 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

這是一張圖片。 This is a picture.
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