Having experienced small to medium-sized e-commerce, founders and CEO Zi-Hao Huang and co-founder and COO Yi-Ting Li of Tammy Technology decided to tackle the marketing challenges of all e-commerce personnel using AI technology Focusing on fashion e-commerce, Tammy Technology's personalized recommendation SaaS Software as a Service helps small to medium enterprises tackle the rising costs of marketing and the overwhelming data, enhancing conversion rates and average order value, becoming an invaluable AI assistant in the fashion e-commerce industry Enhancing conversion rates has always been a major challenge for all e-commerce platforms Unlike major players like Google and Facebook who collect browsing history to target interested messages or advertisements, smaller e-commerce businesses lack the resources and manpower to construct data analysis systems or tools Company Position Marketing technology team for small and medium-sized e-commerce utilizing AI to establish automated marketing Established in 2016, Tammy Technology initially aimed to become 'the marketing technology team for small to medium-sized e-commerce,' hoping to resolve challenges of low conversion rates and customer retention through data analysis and personalized recommendation services 'Daniel referring to Zi-Hao Huang and I have both worked in small to medium e-commerce I handled branding, marketing, and design, while he managed backend systems, project management, and development launches, almost everyone was multitasking' Understanding the pain points of e-commerce operators, they decided to help small and medium enterprises by developing automated marketing systems and a personalized recommendation SaaS, aiding those with limited marketing resources Through AI technology, analyze consumer purchase preferences and provide personalized recommendation services By analyzing each consumer's purchase preferences using AI technology and storing their digital footprints in the backend for data analysis, Tammy Technology stands apart from traditional recommendation systems that categorize customers They offer personalized product recommendations based on each individual's style preferences to achieve precise marketing objectives Yi-Ting Li emphasizes that Tammy Technology's personalized recommendation service has two main functions one is to make website personalized recommendations, and the second is to integrate with marketing channels such as email, SMS, and chatbots chatbot to send personalized promotional messages When consumers enter the official website, based on consumer profiles and preferences, different product recommendations can be provided on each page Individual products also have different recommendation systems on different website pages, providing each consumer with a unique shopping experience after entering the site Using deep learning AI technology, Tammy Technology analyzes consumer behaviors at various online shopping touchpoints through various devices, digitalizing all consumer behavioral data to build consumer profiles For example, a consumer with high purchasing frequency designated as VIP, whose preferences for Morandi color schemes, lace materials, high-neck styles, etc, are recorded and tagged When browsing the store's website, the website will recommend corresponding products based on these purchase preference tags for VIP, and can also set customized discounts and pop-up windows, or send personalized messages through mobile SMS, email, etc, ensuring each customer receives discounts that fit their needs At this stage, Tammy Technology's client base includes male and female apparel, shoes, accessories, cosmetics, and other fashion design industries with a strong personalized color Many clients have seen significant results after introducing personalized recommendation services For example, Shu Uemura under the L'Oreal Paris group, specializing in high-performance skin products and trendy makeup products and professional makeup tools, experienced a significant increase in conversion rates by 3 times and a revenue increase of 18 times after adopting Tammy Technology's service Additionally, the well-known apparel business iRoo, after installing a personalized recommendation system on the official website and integrating digital marketing channels like Line and Chatbot, saw the conversion rate rise more than 5 times, with a monthly revenue increase of 21 The pricing model is subscription-based, with large corporations being charged based on specific feature needs The overall effect after customer usage achieves at least a 3 times increase in conversion rate, and an average of 2 times growth in average order value New client base After apparel and cosmetics, pushing into the home decor industry Despite the overall increase in e-commerce sales, the personalized recommendation service has shown impressive results However, due to the pandemic, non-essential fashion industries have been impacted Tammy Technology, which primarily relies on the fashion design industry, saw a decrease in e-commerce performance by about 30 during the pandemic To diversify operational risks, starting from 2022, Tammy Technology expanded its service clientele to include distinctive, quality-type home furniture and living products As for why not expand the client base to 3C products Yi-Ting Li explains, 3C products focus on cost-effectiveness and brand strength, like Apple computers which have a loyal group of fans, making it challenging to sway their purchasing behavior However, apparel, cosmetics, and home decor focus on personalization, style, and taste, like apparel with the fast, short-term 'fast fashion' trends, updating products weekly, and seasonal characteristics, updating personalized recommendations every 3-5 days and cosmetics, including makeup and skincare, which have high customer loyalty and repurchase rates, are most suitable for recommendations and proactive discount messaging Makeup and outfits represent personal taste, thus these two industries can complement each other in personalized recommendations To accelerate the process of integrating businesses with personalized recommendations, it is necessary to establish an SOP,' Yi-Ting Li continued, 'Tammy Technology, by introducing recommendation services in the fashion design industry, has constructed a service process SOP to facilitate rapid successful experience replication, expecting to quickly integrate into the life and home industry in the second half of the year New business model Establishing a new marketing model centered on the consumer Currently, Tammy Technology's client number has exceeded 2000, including globally renowned fashion brands like L'Oreal and BLUE WAY The future focus will remain overseas, aiming for markets like Hong Kong, Singapore, and North America Tammy Technology, with its successful experience of integrating recommendation systems into fashion e-commerce, has gained investors' favor, securing investments from domestic and international accelerators in 2021, raising a total of 70 million New Taiwan dollars, allowing for workforce and scale expansion Future plans include integrating investor resources to establish a new marketing model centered on consumers Tammy Technology co-founder and COO Yi-Ting Li「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

One rainy Thursday afternoon near Taipei Arena, the Taipei Experience Center of RelaJet was fully booked with appointments from people with hearing loss eager to try hearing aids made with a voice separation engine For the hearing impaired, having affordable, lightweight, and effective noise-reducing hearing aids is truly a blessing 'We hope to help users in need to hear the world's wonders again' This empathetic expectation by RelaJet's founder and CEO Po-Ju Chen, who is also hearing impaired, illustrates his understanding of the needs of the hearing impaired He hopes that RelaJet's unique voice amplification hearing aid technology will benefit many more people Affordable hearing aids benefit many with hearing loss Founded in 2018 by Po-Ju Chen and his brother Yu-Ren Chen, RelaJet developed a multi-voice separation engine paired with Qualcomm's Bluetooth audio platform, drastically reducing the price of imported hearing aids, typically costing 80,000-100,000 NT dollars, to just under 10,000 NT dollars They aim to develop affordable goods with excellent noise-cancelling capabilities that wirelessly connect to smartphones In its first two years, the company primarily developed the multi-voice separation engine, which significantly improved the noise reduction quality Once equipped with Qualcomm Bluetooth earphone chips, the audio processing time is drastically short, at about 7 milliseconds to enhance main voice projection and reduce ambient noise, less than half the time required by traditional medical standard of 16 milliseconds for hearing aids, nearly 'zero-delay' 洞見未來科技推出平價助輔聽器，大大嘉惠聽損者 Yu-Ren Chen explains that the primary use of Qualcomm chips for edge computing, along with a streamlined algorithm, achieves extremely low latency and better noise reduction The hearing aids can cover 18 channels, whereas traditional hearing aids cover 4-48 channels In the future, RelaJet will progressively increase the number of channels According to statistics, there are 470 million people globally with hearing disabilities, with a 30 average device use rate in developed countries, with the highest in Western countries Taiwan has nearly 15 million people with disabling hearing loss, of which the middle-aged and elderly make up 30, yet the device use rate is only about 10, which is quite low Yu-Ren Chen further analyzes that the low device usage rate is due to two reasons firstly, the high average selling price of international big brands ranges from 80,000 to 200,000 NT dollars with a three-year usability period, which deters many due to the high cost and maintenance Secondly, in noisy environments, the noise is also amplified which does not necessarily ensure clarity for the users, and the sound parameters can't be adjusted in real-time, making it inconvenient to frequently visit stores for tuning Thirdly, most models cannot connect to smartphones, making it inconvenient for the hearing impaired to take phone calls Utilizing Qualcomm Bluetooth chips for rapid product development In light of this, Po-Ju Chen, formerly a semiconductor engineer at MediaTek, leads the technical development, while Yu-Ren Chen, with a legal background, manages the operations Their seamless collaboration, along with their team employing AI algorithms and chip integration, learns from thousands of hours of audio files in databases through neural networks and deep learning technologies to develop low-latency, high-noise-reduction voice amplification technologies for hearing aids In 2019, this sound processing technology was integrated into Qualcomm Bluetooth chips, winning first place in the Qualcomm Taiwan Startup Competition and becoming a partner in Qualcomm's Global Expansion Program, significantly boosting product development pace In 2021, they launched their own Otoadd series of hearingenhancement products in Taiwan, which received both market favor and positive reviews from many with hearing loss Based on different consumer needs, various product designs are available According to Yu-Ren Chen, the Otoadd wireless earphones with hearing enhancement functions, model N1, are entry-level neckband style priced at 9,500 NT per pair Users can wear the hearing aid while taking calls, and control noise reduction strength and volume through a mobile app They plan to develop accessories in the future tailored to the needs of older adults Besides being available for trials at experience centers in Taipei and Kaohsiung, this hearing aid is also sold through PChome, Taiwan Mobile's myfone, and Elder Age networks, among other channels Another model intended for individuals with mild to severe hearing loss is the Classic R hearing aid, which received the Japanese Good Design Award in 2021 Since its market debut last year, it has attracted those with congenital hearing loss, with users noting improved clarity in noisy environments and appreciating the convenience of Bluetooth connectivity for calls and watching videos This product is anticipated to be exported to international markets in the latter half of this year Additionally, a hearing aid product combining Bluetooth functionality, set to launch in June this year, is sized like typical Bluetooth earphones, targeting visually conscious consumers with hearing loss Its small size and attractive wireless earphone design allow for phone calls, and if approved by the Ministry of Health and Welfare, eligible users can apply for government subsidies RelaJet to expand into overseas markets, using the USA as a beachhead An interesting question arises due to the pandemic everyone must wear masks which impedes lip-reading How does this affect those with hearing loss Yu-Ren Chen indicates that this situation highlights RelaJet's advantages As each person with hearing loss has different levels of hearing ability, hearing aids can only augment to an appropriate volume, assisting users to hear about 60-70 content, with the remainder relying on lip reading and gestures During the pandemic, as everyone wears masks, masks also muffle sounds, but RelaJet's voice separation engine can correct and strengthen the separation, making it easier for those with hearing loss to recognize voices Besides the Taiwan market, RelaJet's next stage will be expanding into overseas markets, expecting to obtain ISO 13485 medical device quality management system certification and US medical device approval in 2022 They plan to enter the US market, either under their own brand or through OEM arrangements Apart from the Taiwan market, RelaJet will also enter the US market in the next phase for hearing aids「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

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」