Technology also carries the aroma of coffee Situated on Gaogong Road in the Southern District of Taichung, the original Black Wo Coffee store covers a space of 28 ping, filled with the scent of coffee mixed with cultural creativity and technology Since its establishment in October 2016, Black Wo Coffee has expanded to 7 directly managed stores and 28 franchise stores across Taiwan Among the 15,000 coffee sellers nationwide, Black Wo Coffee has risen uniquely through the use of AI technology to create an unmanned intelligent vending machine that brews exquisite and aromatic coffee in just one minute Black Wo Coffee's physical store creates a culturally creative and fashionable atmosphere Image Black Wo Coffee official website According to the International Coffee Organization ICO, Taiwanese people consume 285 billion cups of coffee annually, with the market size exceeding 70 billion NT dollars Ambitiously, as per Starbucks' survey, by 2018 the overall Taiwanese coffee market reached 72 billion NT dollars and rose to 90 billion by 2020 Over the last five years, the Taiwanese coffee market has expanded annually by about 20, showing remarkable growth potential Coffee demand presents incredible business opportunities, growing at a rate of 20 annually With coffee now being a symbol of fashionable consumption in Taiwan, aside from first-tier coffee shops like Starbucks and Louisa, there are convenience stores like 7-11 and FamilyMart, and numerous boutique coffee houses scattered through the streets and alleys How to capture consumer attention and stand out in the 'red ocean' of the coffee market requires flexibility and creativity, understanding consumer needs and tastes, which are also essential for cultivating brand loyalty Beyond physical storefronts, Black Wo Coffee is also actively developing digital channels Its ecommerce platform includes the official website, PChome, momo, and group-buying hosts, providing multiple channels and ensuring steady growth in performance Even so, the founder of Black Wo Coffee, Lin Pei-ni, continually seeks innovation Due to the passive and scattered situation with franchise stores in the first three years, it was difficult to actively grasp market trends and the company noticed a certain lag in communicating with consumers and keeping up with brand dynamics, making it challenging to cultivate loyal brand advocates Artisan boutique coffee is deeply beloved by consumers Image Black Wo Coffee official website Through the AI Eagle Eye System, market intelligence costs are significantly reduced To address the dual challenges of not being able to quickly capture market trends and high market research costs, Black Wo Coffee introduced the AI Eagle Eye System in 2020 to scout market intelligence By comprehensively crawling articles from social websites, news platforms, and forums, automatically tagging, and suitably filtering, this system scanned 4,858 articles using 24,290 keywords, enabling precise insights into consumer preferences at minimal costs At the same time, after launching new products, not only can franchise stores be notified promptly, but the acceptance level of consumers can also be assessed through social platforms It serves as a reference for whether to promote aggressively Through the collection of data and analysis by AI algorithms, consumer-preferred flavors are selected, reducing the risks associated with new launches and increasing the success rate of new products Therefore, in 2021, Black Wo Coffee boldly explored new markets by introducing the world's first AIoT smart coffee innovative concept in collaboration with Pxmart for the first 'Intelligent Supermarket', integrating Black Wo Coffee to create an unmanned intelligent hand-drip coffee machine for consumers to enjoy a unique flavor experience Insight into consumer tastes leads to the creation of AIoT Unmanned Intelligent Vending Machines Taiwan's first Pxmart 'Intelligent Supermarket' in Neihu, Taipei introduces the world's first AIoT smart coffee concept store, able to interact with the AI smart coffee vending machine, AI hand-washing coffee machine, and AI vacuum cold brew machine through a mobile app, meeting three different coffee technology experiences in one place The self-service area features the only unmanned intelligent coffee vending machine in Taiwan that uses chilled milk to make milk foam, selecting Black Wo's 5A grade milk, and completing the payment, grinding, and brewing all within one minute The first Pxmart 'Intelligent Supermarket' was established on Ruiguang Road in Neihu District, Taipei Image Pxmart FB fan page The Pxmart Intelligent Supermarket features an AI smart coffee vending machine, which is operated using an app to enjoy aromatic coffee Image Pxmart FB fan page Now, with the addition of AI technology elements, drinking coffee is not just about having coffee it also brings more brand-new tech experiences and conveniences to consumers「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

After incorporating AI technology, traditional logistics companies have seen significant improvements in transportation efficiency and reductions in transportation costs, especially in the transfer of medical materials which involves timely service and rights of hospitals and patients The implementation of intelligent logistics can save medical material businesses the cost of constructing GDP warehouses and other expenses up to millions A major domestic logistics leader, Hsinchu Transport HCT, owns a fleet of 3,500 vehicles and a storage area of 60,000 square meters, providing customized logistics solutions including logistics, commerce, finance, information, distribution, storage, and processing The company handles up to 580,000 parcels per day, with a maximum capacity reaching 900,000 parcels, making the enhancement of transshipment efficiency crucial for HCT Medical materials transportation at hospitals need optimization of current operational processes and enhancements in systematization and intelligence Especially the transportation of hospital medical materials, which encounters various challenges Medical materials suppliers need to cater to varying customer product demands, temperature requirements, and delivery times through multiple logistics providers This highly depends on the experience and careful control of operations staff Whether it is the product shipment or actual logistics process, each step must be interconnected Any human errors can impact the service timing and rights of the hospitals and patients Thus, all concerned businesses, along with the government and hospitals, are working to optimize current operational processes and elevate the level of systematization, automation, and intelligence to minimize service errors and cost losses HCT's distribution process prior to AI implementation Currently, with the government's push for standardized platform operations on the demand side of hospitals, supply-side businesses collaborate through data coordination to improve the accuracy and efficiency of product shipments, enhancing operational quality and management benefits at the demand side At the same time, some businesses are also investing in the standardization and systematization of internal operational processes, thus enhancing operational efficiency and quality In the freight logistics sector, logistics companies' warehouse staff need to expend labor to control different logistics shipment operations If they often receive emergency task notifications for shipments to medical facilities, they usually depend on small regional logistics providers to provide customized delivery services Although this improves delivery times, it does not allow for integrated informational services The new GDP regulations for medical materials require suppliers to undergo GDP compliance certification Therefore, Hsinchu Transport, assisted by the Ministry of Economic Affairs' AI coaching program, not only extends existing logistics services compliant with GDP regulations but will also use data integration and optimized AI technologies to help medical material businesses streamline and improve their logistics operations Complex logistics issues are solved using the Simulated Annealing SA algorithm To meet the 'Good Distribution Practices for Medical Devices,' Hsinchu Transport is not only actively introducing new logistics vehicles but will also implement artificial intelligence-based mathematical optimization technologies to assist in intelligent scheduling at nationwide business points and transshipment stations They aim to optimize the routing of medical materials between business points or regions thereby enhancing efficiency in the distribution process Currently, during the transshipment process of medical materials at Hsinchu Transport, detachable tractor heads and containers are used Each business point and transshipment station differ in location design and staffing, impacting the throughput per unit of time Furthermore, daily cargo conditions size, destination vary, and due to these fluctuating and distinct demands, the deployment of tractor heads and containers changes accordingly Under these circumstances, Hsinchu Transport relies on past experiences to schedule departures at each satellite depot and adjusts daily according to the cargo needs Due to the reliance on empirical scheduling, it is often difficult to consider all variables and considerations, leaving room for improvement in the current departure schedules The cargo delivery planning inherently constitutes an NP-Hard problem, difficult to solve with traditional analytical methods Hsinchu Transport, in collaboration with Singular Infinity, utilizes the Simulated Annealing SA algorithm to find solutions The new logistic service introduced by Hsinchu Transport is 'GDP Container Shift Planning' This planning involves estimating future volumes of medical materials between stations and scheduling container truck shifts accordingly, ensuring timely and quality delivery of medical materials while maximizing operational benefits and reducing travel distances Hsinchu Transport introduces AI-optimized shift planning, constructing the most efficient route from its origin to destination Hsinchu Transport introduces 'Optimized Shift Planning' service, reducing transportation costs by 5 The introduction method involves using cloud software services Hsinchu Transport regularly inputs 'Interchange Item Tables' from station to station into the 'Optimized Shift Planning' service After setting the algorithm parameters, a GDP container shift schedule is generated At the same time, developing a Hsinchu Transport medical material scheduling system allows Hsinchu Transport's medical transport units to compile suitable schedules through the Interchange Item Tables Under the same level of service, it's estimated that this can reduce transportation costs by 5, saving medical material businesses millions in construction costs for GDP warehouses and distribution Due to its requirements for sanitation, temperature, and its fragility, the transportation and transshipment of medical materials should be minimized to reduce exposure and risk However, logistics efficiency and costs must still be considered AI designs the most efficient route for each cargo from its origin to destination, effectively completing daily transportation tasks In response to the future high development demand of industrial logistics, distribution and transshipment AI optimization will be a key issue Through this project, a dedicated project promotion organization will be established, staffed with AI technology, IT, and process domain talents After accumulating implementation experience, the application of AI will gradually expand, comprehensively optimizing and transforming Hsinchu Transport's operational system, and partnering with AIOT and various AI domain partners to accelerate and expand the achievement of benefits「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

"The DNA of Magpie Life is not limited to vending machines We believe that vending machines combine technology, access, and humanities to bring us exciting results" This is a sentence on the official website of Magpie Life Let the vending machines bring To live a pleasant life and build a considerate, technological and sustainable future for the smartphone industry is also the original intention of Magpie Life Founded in 2018, Magpie Life launched Taiwan’s first private-brand mobile payment scan code sensor 4 months after its establishment, completing the consumption experience through screen touch The Magpie U1 smart vending machine manages the POS system and gathers data in the background, allowing consumers to synchronize with the world's new retail pace and experience a new retail consumption experience of purchasing convenience, checkout security, visual entertainment, and improved logistics replenishment efficiency Traditional vending machines lack information visibility and AI technology assists in information transparencyThis time, the Magpie smart vending machine is also equipped with AI technology to provide adjustable shelf space , a vending machine equipped with an industrial computer and a large-size touch display screen to achieve the purpose of a store-less store Magpie Life stated that the biggest problem with traditional vending machines is the lack of information visibility To check inventory, replenishment personnel must physically inspect each machine, which is time-consuming and costly When a machine breaks down, it will generally be unable to operate for a long time Most failures go unreported and are not discovered until the next restocking crew arrives to replenish supplies Then you have to wait for a service technician to be scheduled, which can take weeks Traditional vending machines lack real-time interactivity When consumers encounter problems after inserting coins, manufacturers cannot handle them immediately In addition, traditional vending machines are less flexible and cannot adapt to changes in consumer preferences Traditional vending machines have shortcomings such as limited change shopping, single payment tools, limited number of products, and few choices Affected by the COVID-19 epidemic, consumption habits have shifted to contactless methods, causing the unmanned store market to heat up Generally, vending machines can only place relatively simple products such as drinks, food, etc The properties available for sale are limited The patented vending machine developed by Magpie can adjust the shelf space and is equipped with a lifting cargo elevator, which is suitable for various types of goods In addition, the machine is equipped with an industrial computer and a large-size touch display screen, which can meet the needs of advertising support at the same time It is expected to move towards a storeless store According to Magpie Life Observation, the consumer market trend in the past two years is that consumers demand convenient life, food consumption patterns value dining experiencesimple and fast, and are equipped with mobile phone-connected ordering models, and hot drinks and Fresh food delivery is the focus of two major trends The location, items sold, consumption methods and multiple payment methods are the focus of market growth for smart vending machines In terms of convenience, Taiwanese consumers still prefer to purchase vending machine food near stations, airports, schools, and businesses in business districts Various payment methods are also gaining more support from consumers, indicating that in the future, automatic Vending machines can be developed in two directions diversified items and diversified payment methods AI sales forecast technology integrates back-end management to achieve precise marketing purposesDue to the wide variety of products, it is difficult to know the performance of products under different factors such as season, market conditions , promotional activities, etc, it is easy to cause out-of-stock or over-inventory situations Magpie Life has specially developed "AI sales forecasting technology" and integrated it into the back-end management system, hoping to lock in customer purchasing preferences and intentions through data analysis In order to achieve the purpose of precise marketing, make accurate business decisions and effectively allocate limited resources The introduction of AI systems can achieve the three major goals of precise marketing, inventory management and supply chain management This system is a replenishment decision-making aid designed specifically for supply chain managers It uses AI to predict future sales demand, helping companies effectively optimize production capacity, inventory and distribution strategies Its overall system architecture includes1 Data exploratory analysis function Provides automatic value filling, automatic coding and automatic feature screening functions for missing values in the data 2 Modeling function 1 Provides model training functions for two types of prediction problems regression Regression and time series Time Series Forecast nbsp2 Supports Auto ML automatic modeling, and the best model is recommended by the system Integrated models can also be established to improve model accuracy nbsp3 Supports multiple algorithm types Random Forest, XGBoost, GBM and other algorithms nbsp4 Supports a variety of time series models exponential smoothing, ARIMA, ARIMAX, intermittent demand, dynamic multiple regression and other models nbsp5 Supports a variety of model evaluation indicators R, MAE, MSE, RMSE, Deviance, AUC, Lift top 1, Misclassification and other indicators nbsp6 Supports automatic cutting of training data sets and Holdout verification data sets, and can manually adjust the ratio nbsp7 Supports automatic model ensemble learning Stacked Ensemble, balancing function learning Balancing Classes, and Early Stopping nbsp8 Supports the creation of multiple models at the same time The system will allocate resources according to modeling needs, so that modeling, prediction and other tasks have independent computing resources and do not affect each other In the overall server space With an upper limit, computing resources can be used efficiently nbsp9 It has in-memory computing function, which can use large-capacity and high-speed memory to perform calculations to avoid reading and writing a large number of files from the hard disk and improve computing performance 3 Data concatenation function Using API grafting and complete data concatenation automation, there is no need to manually import data, improving user experience 4 Chart analysis function Provides visual charts and basic statistical values for product sales AI data analysis solutions have two major advantages 1 Entrepreneurship machines can be rented and sold at low cost to open unmanned physical stores and cooperate with the chain retail industry Through smart machines, entrepreneurs can rent and sell them at a lower cost than the store rent Cost of running a retail business Two cooperation models, machine sales and leasing, are provided, and the choice is based on the evaluation of the industry 2 Various types of products are put on the shelves Products are sold anytime and anywhere 24 hours a day Up to 60 kinds of diversified products can be put on the shelves Large transparent windows enhance the visibility of products Regular replenishment and tracking of product sales status are available, and product types can be adjusted according to needs Recently, the line between the Internet and the physical world has blurred, the way customers interact has changed significantly, and consumer demand is changing and personalized The retail industry is facing unprecedented challenges and uncertainties, and mastering data has become key AI data analysis solutions can help the retail industry quickly activate large amounts of data, create seamless personalized experiences, optimize the operational value chain and improve efficiency, and strengthen the core competitiveness of enterprises 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」