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【2021 Solutions】 Utilizing AI Image Recognition, Choice Technology Saves E-commerce 90% Time

The COVID-19 pandemic has accelerated the digital transformation of small and medium-sized enterprises (SMEs). However, the first step in this transformation is to create beautiful product designs and quickly list products online. Using AI image recognition technology, Choice Technology has identified 'explosive' e-commerce designs, creating an AI workstation for retail e-commerce that features automatic object detection, background removal, and beautification. For small e-commerce businesses with about 500-800 product items, this can save approximately 90% of the time. It is an excellent tool for small and medium-sized retailers making the transition from offline (physical channels) to online (virtual channels) sales.

The meaning behind 'Choice' is 'Choosing the best tech experience for our clients.' Liu Yi-Han, the founder and CEO of Choice Technology, hopes to leverage his expertise in image engineering to help SMEs with technology barriers achieve their dream of easily listing products on e-commerce platforms without needing to learn a multitude of tech tools.

Using AI image recognition technology, photos can be automatically background removed, saving time in photo enhancement.

▲Using AI image recognition technology, photos can be automatically background removed, saving time in photo enhancement.

E-commerce AI Workstation, from material design to e-commerce listing, get it done with one 'click,' fast and convenient.

▲E-commerce AI Workstation, from material design to e-commerce listing, get it done with one 'click,' fast and convenient.

Machine learning automatically generates 50 types of product recommendations for direct listing on e-commerce platforms with one click.

Since its foundation in May 2018, Choice Technology has used machine learning algorithms to collect millions of product designs on social media platforms like Instagram and the largest handmade marketplace Etsy, automatically generating 500,000 design recommendations. Clients simply need to upload their product photos, and the AI tools at the e-commerce workstation perform background removal, background addition, and other image editing tasks. Unlike the traditional method where retailers had to hire professional photographers and designers to prepare products for e-commerce, this approach saves time, money, and effort.

According to statistics, the average cost for photographing a product, arranging its layout, and designing it varies from 2,000 to 3,000 RMB per item. For a product range of 1,000 items, the cost in money and time can be overwhelming for small and medium-sized e-commerce businesses. Choice Technology draws product types from the sales rankings of major e-commerce platforms like Amazon and Shopify, selecting categories such as fashion apparel, catering food, home accessories, fresh fruits and vegetables, sports equipment, and nutrition & health fashion, among others, with the largest category being fashion apparel, which accounts for up to 56% of sales on the Choice platform.

Furthermore, during the pandemic, consumers mostly opted for takeout or delivery services such as UberEats and Foodpanda, which has led to a surge in catering food, also becoming an important design recommendation on the platform. With over 500,000 photos used to train the AI model, the strongest recognition capabilities are in home and apparel categories.

Choice Technology team, photo (second from the right) shows founder and CEO Liu Yi-Han

▲Choice Technology team, photo (second from the right) shows founder and CEO Liu Yi-Han.

Liu Yi-Han pointed out that after the pandemic, WFH (Work From Home) has triggered another wave of sales for delivery meals and home accessories. In the future, the database will be adjusted dynamically based on the sales ranking movement of e-commerce platforms in terms of product images and attractive background scenarios.

Helping SMEs transform into e-commerce by offering the first month of rapid listing services for free

The operating model of Choice Technology is based on a SaaS B2B model, charging based on the number of photo uploads, billed monthly, and catering to individual retailers, small to medium-sized customers, and corporate clients. Since the pandemic, offline retail opportunities have been keen to transition to online sales. The Ministry of Economic Affairs Industrial Bureau offers digital transformation schemes for SMEs by providing subsidies to help retailers transform. Currently, Choice Technology provides the first month free of rapid listing services to small and medium-sized retailers using online tools like Google Forms for group orders, eventually integrating with e-commerce platforms such as Shopee and Shopify to save listing time, allowing retailers to focus on product quality, beautification, and marketing channel work.

Regarding the distribution of customers, Liu Yi-Han analyzed that Choice's clientele is divided into two types. The first type are physical retail businesses new to e-commerce, who primarily need fast background removal and automatic lighting adjustments for their product photos, often preferring pure white or simple backgrounds. The second type is medium to large enterprise brands, who require high-quality product photos with personalized designs suited for different festivals, such as pink items for Valentine's Day, which realistically enhance the shelf presentation and indeed have the potential to become 'explosive products.'

'The technology for optimizing product photos is not the issue; the challenge is creating suitable and high-conversion scenario photos.' Liu Yi-Han stated that data collection and training are automated processes, and AI technology is quite mature. The difficulty lies in efficiently collecting data with attractive, high-conversion scenarios for machine learning, requiring continuous dynamic extraction from the sales rankings of major e-commerce platforms.

Regarding the future business layout of Choice, Liu Yi-Han explained that the short-term goal is to assist physical stores with digital transformation, since many SMEs were severely affected by the COVID-19 pandemic, and moving sales online can help reduce the impact of the pandemic. As for the mid to long-term goals, affected by the severe pandemic situation in overseas markets, Choice will first serve Taiwan customers well. After the pandemic eases further, they will expand into the US and Southeast Asia markets.

Liu Yi-Han attended the 2020 MarTech Marketing Forum for a panel discussion

▲Liu Yi-Han attended the 2020 MarTech Marketing Forum for a panel discussion.

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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【解決方案】客廳化身為健身房 Uniigym矢志成為健身界的Netflix
Living Room as a Gym: Uniigym Aims to be the Netflix of Fitness

Afflicted by the pandemic, most people choose to stay at home However, for those who enjoy exercising, missing a day at the gym can feel uncomfortable With Uniigym's 'AR Fitness x Uniigym' app, users have access to nearly 1,000 diverse exercise classes With a dedicated AI coach, users can exercise anytime they wish, while also tracking their fitness journey, and understanding their condition completely To encourage public fitness and fight the pandemic together, Uniigym has also collaborated with Chunghwa Telecom, offering free access to the 'AR Fitness x Uniigym' app for 30 days starting from now until the end of June, contributing to the public health effort Founded in 2019 by CEO Yu-Chieh Lin, Uniigym was conceived from the monotony and limited options of gym venues like fitness centers and school gyms, and low interaction with trainers The company aims to make exercising as fun as gaming through technological solutions, starting with their first product—an intelligent dynamic projection system that has gained favor in the fitness market Uniigym continuously innovates fitness products creating a comprehensive platform for sports health Uniigym is dedicated to creating an immersive fitness course platform starting from offline venues to an online platform, thereby achieving a full spectrum of fitness content and increasing data traffic for enhanced monetization capabilities Over three years, Uniigym has continued to develop new products So far, they have reached the third generation of products In addition to the Uniicube, a dynamic projection fitness system, there's also Uniihome, which turns living rooms into gyms through set-top boxes provided by Taiwan Broadband Communications and cable television provider Kbro Furthermore, the third generation, Uniicell, allows users to exercise anywhere anytime with mobile devices and 5G networks Next, Uniigym plans to launch the fourth generation, Uniicare, targeting businesses and government employees with camera and heart-rate devices to gather health data and offer health management solutions Features of the AR Fitness x Uniigym App "Uniigym is a combination of Netflix and Nintendo, aiming to become the Netflix of the fitness world" By lowering the barriers to exercise through Uniigym's diverse workout classes and fostering a national habit of exercise, marketing director Shu-Wei Wang explained the company's strong ambition and its ongoing progress towards these goals Since the launch of the AR Fitness x Uniigym app in collaboration with Chunghwa Telecom in November 2021, the app has seen over 20,000 downloads in less than half a year, featuring nearly 1,000 multi-category classes including aerobics, fat-burning, body sculpting, strength training, yoga, boxing, and popular dance Built-in latest AI posture algorithm for real-time monitoring of exercise state The AR Fitness x Uniigym APP features six key functionalities, consisting of One Celebrity fitness courses, featuring a hundred top instructors, pick and practice anytime without appointment Two AI real-time motion matching that captures 20 skeletal points of the body through the phone's camera, accurately comparing movements and providing instant feedback Three AR fitness trainer, accompanying you in any environment, personally guiding the workouts, making the fitness experience more engaging Four Gesture remote control interface, allowing you to remotely access various features, making operations easier Five Supports screen casting, syncing the phone with TVs and screens to enhance immersive exercise experiences Six Self-data tracking, fully recording fitness progress including exercise hours, calories burned, and training programs AR动滋动 x Uniigym Rise to Exercise, Safeguard Health TAIWAN SAFE Event Introduction Most importantly, the system platform integrates the latest AI posture algorithm, comparing user movements and skeletal points with those of the fitness trainer during exercise, combined with heart-rate 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courses offer consumers a convenient, economical way to exercise anytime, anywhere It eliminates the need for purchasing fitness equipment or spending on expensive courses, as users can enjoy personal guidance from an AI coach directly through their smartphones, enhancing their willingness and frequency of exercise, playing an essential role in promoting a healthier lifestyle for all Uniigym provides a combination of online and offline AI cloud-based interactive sensor technology services, matched with home settings and various types of exercise spaces, to offer consumers an entry-level threshold to enjoy professional and entertaining fitness experiences anytime, anywhere This innovative business model has attracted investments from renowned Taiwanese listed companies such as, Nan Yih Textile and Taishin International Bank, and also partnerships with notable international sports enterprises like Decathlon Besides deep-rooting in the Taiwanese market, Uniigym is also actively expanding into international markets including Singapore, Thailand, and China This year 2022, Uniigym plans to launch its products with the Singaporean telecom group Singtel, allowing Chinese-speaking users and a broad international audience to enjoy new interactive sensor-based fitness courses In the future, Uniigym will also introduce home-based health management solutions for corporate and government employees, where employee health data is collected during exercise through cameras or heart rate devices, analyzed, integrated, and linked with health and medical data to achieve preventive medical goals Uniigym founder and CEO, Yu-Chieh Lin「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】破壞式創新商模 奇翼醫電推出行動醫療裝置- 心電圖傳感器 打造遠距醫療當中最後一塊拼圖
Disruptive innovative business model Qiyi Medical Electronics launches mobile medical device-ECG sensor to create the last piece of the puzzle in telemedicine

With the advent of the post-epidemic era, the development of global telemedicine is in the ascendant, which has greatly increased the demand for smart medical technology in decentralized medicine Among them, if mobile medical devices can provide real-world at home or outside the hospital data for use in hospitals, it is believed that it will reduce the burden of diagnosis and treatment on doctors or medical personnel and reduce health insurance expenses To this end, Singular Wings Medical has launched a comprehensive telemedicine solution, which combines excellent wearable mobile medical device design, innovative software development, AI algorithms and cloud platform services, and will become the last piece of telemedicine puzzle David Lee, the founder and general manager of Qiyi Medical Electronics, said that his original intention to start the business was because he witnessed Taiwan's long-term pursuit of low-cost mass production, which led to the continuous decline in the value of the industry For example, in the past thirty years, The output value of the former Silicon Valley was similar to that of Taiwan's Hsinchu Science Park, but thirty years later, the output value of Silicon Valley reached US14 trillion at the end of 2020, while the output value of Hsinchu Science Park was less than NT15 trillion at the end of 2021 Seeing Silicon Valley's sensitivity to industry needs and disruptive innovations such as Uber, Airbnb, industry trends and the post-epidemic era have driven a surge in telemedicine services, thereby creating high industry value, so I started a business at the age of 45 and conceived how to combine it with Taiwan After more than ten years of accumulated industrial advantages and Silicon Valley's innovative model, we decided to help Taiwan's industry upgrade and find a new path through the integration of the medical industry, ICT technology industry and innovative business models Seeing that Taiwan has always been a gathering place for the most 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differences between competitors' bracelet and watch products and the company's mobile device-electrocardiogram sensor Compared with the common bracelet and watch products on the market that collect electrocardiogram data in a discontinuous manner, it may take a long time to collect discontinuous data before potential cardiovascular problems can be discovered by luck Qiyi Medical Electronics actively promotes electrocardiogram to the public in a continuous manner The competitive functional characteristics of sexual detection data and emphasize that it is a very important means to assist in the detection of many potential diseases, replacing diagnosis with prevention and reducing the occurrence of unnecessary cardiovascular diseases In addition, in terms of business promotion, we also hope to create more opportunities for business matching and new venture capital raising with the assistance of the Corporate Resource Strategy Council Looking to the future, Li Wei and Xu Qiyi Medical Electric Energy will become the last piece of the telemedicine puzzle in the health wearable device-electrocardiogram service Li Weizhong said that in the short term, Qiyi Medical hopes to gain a firm foothold in Taiwan and become a common medical device in everyone's home, just like thermometers and blood pressure monitors The company is also constantly developing new indications Starting from electrocardiogram, coupled with AI and big data, it can deal with more chronic diseases In addition to cardiovascular diseases, we have also successively developed sleep apnea and other more special diseases The applications are aimed at the problems of elderly chronic diseases that modern people are very likely to encounter With a mid- to long-term plan, Qiyi Medical will enter the US and EU markets, become an international company, and continue to aim to become a data company, making good use of the company's long-term collection of data applications to provide services in diverse fields such as new drug development and vaccine development application to create business opportunities and profits 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】瑕疵辨識率達百分百 耐銳利科技獲面板大廠青睞
Defect identification rate reaches 100%, Nairi Technology is favored by major panel manufacturers

On the machine tool production line, there are some slight differences in the first step of assembly Accumulated tolerances will cause the assembly work to be repeated, which is time-consuming and labor-intensive, resulting in shipment delays that will impact the company's reputation Narili Technology Company focuses on the field of smart manufacturing and provides various AI solutions It uses machine learning models to inherit the experience of old masters In the CNC processing machine assembly and casting process, it uses AI to analyze production line data, accurately adjust various data, and improve Production accuracy is 25 This AI production line data analysis system is called "Master 40" by Huang Changding, chairman of Naruili Technology It is the most evolved version of the master plus artificial intelligence It has been used in machine tool processing factories with remarkable results In addition, Nairi Technology used AI defect detection technology to participate in the 2021 AI Rookie Selection Competition of the Industrial Bureau of the Ministry of Economic Affairs, assisting AUO in advanced panel image defect detection, with an accuracy rate of 100, and won the award Assisted panel manufacturer AUO to solve problems with 100 accuracy in defect detectionHuang Changding further explained that during the production of general panels, edges and corners are There may be defects in the corners Although the defects are visible to the naked eye, AOI is often difficult to identify, causing the detection error rate to often exceed 30 Therefore, re-inspection must be carried out with manpower to improve the accuracy rate However, in response to the demand for a small number of diverse products and insufficient manpower, using AI detection is indeed a good method Nairui Technology, founded in 2018, has been able to win the favor of major panel manufacturers with its AI technology in just three years In fact, it has been honed in the field of CNC machine tools for a long time Tang Guowei, general manager of Narili Technology, pointed out that the top three CNC machine tool factories in Taiwan hope to introduce AI into the two production lines of assembly and casting Among them, on the assembly line, in order to maintain the accuracy of assembly, every part of the component is designed Tolerances are designed During assembly, each component is within the tolerance However, the cumulative tolerance still fails the final quality inspection and must be dismantled and reassembled This is not only time-consuming and labor-intensive, but also causes waste "After entering the production line, I realized that some masters have accumulated a lot of experience and are good at adjustment After his adjustment, the accuracy rate has improved a lot and the speed is faster" On the contrary, the new engineers did not Based on experience, it takes a long time to adjust and may not pass the quality inspection The yield rate of Master 40 system has increased significantly from 70 to 95Tang Guowei then said that the original size data set by Master during assembly All were recorded on paper After the information was written, it was stored in the warehouse and sealed No one studied the relationship between the dimensions Narili assists customers in designing the Fu 40 system Through the human-machine panel, the master can directly input the measured dimensions and related data during assembly After collecting data from different masters, AI algorithms are used to analyze the relationship between the data and create an AI model The AI model automatically notifies the operator what size to adjust to, and the quality inspection will definitely pass In this way, the yield rate will be improved It has increased significantly from 70 to more than 95 Narili Technology Company focuses on the field of smart manufacturing and provides various AI solutionsTang Guowei added, assembling the spindle of a CNC processing machine It took four hours In the first step, the machine made measurement errors, including vibration, temperature, speed, etc that were out of range It had to be dismantled and reinstalled, which took another four hours How to adjust after disassembly depends on the experience of the master At first, the master may have done the best assembly method based on experience, but the error rate was also 30, and the assembly took several days With the assistance of AI masters, the assembly time only takes half a day, and the yield rate reaches over 95, saving a lot of time and manpower "Use the AI model of machine learning to collect the experience of all the masters and provide it for AI learning The first step is digitalization, and the second step is knowledgeization This is the transformation of the enterprise "An important key", Huang Changding believes that Narili Technology is an important partner in the transformation of traditional manufacturing from automated production to digital transformation In addition, another industry that Naili Technology focuses on is the smart car dispatching system of the leading brand of elevator manufacturers The so-called car dispatch referring to the elevator car means that if there are more than two elevators, group management is required In the past, car dispatching was based on fixed rules If the elevator was closer to the requested car, that elevator would be automatically dispatched On the one hand, it did not take into account that dispatching a car if the elevator was called too many times might make other people wait longer The previous vehicle dispatching model did not take into account the usage characteristics of the building, resulting in a lot of waste For example, in an office building, there are peak hours in the morning, lunch break, and afternoon after work AI smart car dispatch can be flexibly adjusted according to off-peak and peak hours, increasing the efficiency of car dispatch, reducing waiting time, and reducing wasted electricity Introducing elevator smart dispatch to improve transportation efficiency and have environmental protection functionsHuang Changding added that just like the previous traffic lights at intersections, the system has already The number of seconds to stop and pass on highways, sub-trunks and small streets is programmed Smart traffic lights are now used to flexibly adjust waiting times to make road sections prone to congestion smoother Using AI to learn usage scenarios and introducing a smart dispatch system into elevators will improve transportation efficiency and make it more environmentally friendly In addition to introducing smart elevator dispatching, Nairili also introduced AI into the smart production and shipment scheduling system of elevator factories Elevator factories often cannot accurately estimate the customer's elevator delivery date For example, office buildings or stores must be completed to a certain extent before the elevator can be installed on the construction site If affected by unexpected factors such as delays in the customer's construction period, the elevator factory will often be idle or the schedule will be difficult to arrange Tang Guowei pointed out that generally those who understand the progress of client projects may be from business or engineering, but overall, the accuracy rate of shipments is only about 60, which means that 40 of them will not be shipped as scheduled Therefore, if the shipping schedule can be accurately estimated, the production line can be freed up for emergency orders or other product production needs The AI smart scheduling system will analyze past shipment data, about 20-30 parameters such as climate, distance between the factory and the construction site, and customer credit, and put them into the AI algorithm to accurately predict whether shipments can be made as scheduled goods Huang Changding also specifically stated that the machine learning of Naili Technology is not ordinary machine learning, but also incorporates various calculation methods such as traditional image processing technology and statistics Only by being very familiar with the domain knowledge can we make good products AI models are also where the company’s competitiveness lies He emphasized that the data that general SaaS platforms can process is very limited, and the accuracy rate has increased from 70 to 75 at most Naili’s strength lies in AI algorithms and machine learning, and it must be coupled with in-depth industry knowledge to produce output Good AI model Narili Technology started with the AI project, gradually deepened the technology, chose to start with the more difficult tasks, and accumulated rules of thumb It is expected to develop SaaS services this year 2022, based on customer needs starting point, gradually gaining a foothold and becoming an important partner in smart manufacturing The picture left shows the general manager of Naruili Technology Tang Guowei and Chairman Huang Changding right「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」