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【2021 Solutions】 Committed to building a data supermarket, Lin Data Technology uses its strength to make brand owners pay the bill

"Just like many pork stalls in traditional markets, you can buy pork everywhere. However, different ways of processing and cooking will produce different delicacies." LnData has been deeply involved in data processing and application for many years. President Xie Peifang explained in a simple way the advantages of Lin Data Technology when everyone is striving for "data" business opportunities.

Data is known as the "black gold of the new era" and is as important as crude oil. With the advancement of technology and digital technology, the amount of data obtained by enterprises is growing rapidly. How to refine oil into gold depends on experience, technology and the trust of brand owners.

Focus on first-party databases and establish sales communication intensity indicators

Founded in 2016, Lin Data Technology specializes in data technology, provides diversified and innovative software services (SaaS), and plays the role of an independent third party in the market. Through diversified and advanced various types of data collection and The serial connection service assists enterprises in data collection, data cleaning, data management and final data application, using the most authentic and complete data in every business decision-making to gain market opportunities.

LnData ) Strategy Chief Xie Peifang

▲Xie Peifang, Chief Strategy Officer of Lin Data Technology (LnData)

Xie Peifang said that the original intention of the company was to establish a third-party advertising effectiveness monitoring unit. Since it is difficult to evaluate the brand owner’s advertising budget investment and effectiveness, in addition to the authenticity of the traffic, it is difficult to verify which placements are actually exposed, the audiences reached, etc. Detailed information is often vague, so an impartial third party must monitor it to be fair, impartial, and transparent. At the same time, we help brand owners to use digital marketing not only to achieve last-mile conversion, but also to achieve brand exposure and completely establish the consumer purchase journey. However, since the fees for third-party advertising monitoring must be included in the overall advertising budget, and the media does not want to be monitored, the overall Taiwanese market acceptance is still not high. Therefore, Lin Data Technology has turned to establishing a "first-party database" for brand owners. ” is the focus of development.

SaaS products connect all consumer touch points, Establish a first-party database of brands
.

▲SaaS products connect all consumer touch points and establish a first-party brand database.

The first-party database refers to the relevant data of brand owners in various marketing channels or digital content, as well as nodes that interact with consumers, collected through the unique crawling capabilities of Lin Data Technology, and then analyzed using artificial intelligence. Process and generate sales communication intensity indicators. Brand companies can use this indicator to understand the degree of discussion of their products in consumer groups, make corresponding corporate decision-making suggestions, and produce user behavior pattern analysis based on artificial intelligence.

Xie Peifang said that the first-party database will also be connected to the brand owner’s CRM system. Through Lin Data’s technology, a brand data hub (Brand Data Hub) tailored for the brand owner can not only effectively track and connect each A consumer touchpoint data helps brand owners to interact meaningfully with consumers anytime and anywhere, and can also identify Key Opinion Consumers (KOC) who are loud and iconic in the community and are willing to speak out for the brand. , become a brand ambassador, and through "mission" activities, increase member stickiness and diffusion, turn consumers into "brand groups", and truly achieve the purpose of precise marketing.

CRM combines Unified ID to track and understand the consumer journey

Currently, Lindata Technology’s customer base is distributed in beauty, beverage, automobile, banking and other industries. Through the customer relationship management system (CRM) combined with the function of the community, each consumer is marked with an ID, and the intention and behavior of consumers at various touch points such as web pages, advertisements, communities, and e-commerce are instantly grasped, and the customer's intentions and behaviors are provided. The best marketing strategies for brands.

"In the past, brand owners' CRM systems were mostly created using Excel tables, which was labor-intensive. Moreover, brand owners often spent 200,000-300,000 yuan to find KOLs (Key Opinion Leaders), but they couldn't find them. "Effect", Xie Peifang said that by using Lindata's SaaS service to digitize the data, it can not only establish and accumulate a membership database, but also find more than 100 loyal and high-volume consumers at once, accumulating the comprehensive benefits of the above consumers to the brand. , far more than a KOL, of course the brand owner is willing to pay the bill. At the same time, as the number of KOC increases, the voice meter of the online community continues to grow. After establishing the database, there are three major benefits:

1. Quantitative data on member influence are available for reference;

2. The system accumulates the results of all members’ tasks. In the past, a lot of manpower was spent on statistics, but now it can be solved with digital tools;

3. The brand’s reputation and number of shares on the community will continue to increase, forming a positive cycle. Xie Peifang said that when promoting data technology services, the biggest difficulty is that the amount of data needs to be accumulated for about six months to a year before truly meaningful analysis can be seen. The specific approach is to first interview customers to clarify the data collection strategies and channels. And she also admitted that what is really useful is CRM data. Accumulated data without interactive information is dead and of no use.

Establishing a data middle platform as the ultimate goal and becoming a data supermarket

AI technology is used to classify and group complex data from multiple channels, capture different data characteristics, and manage them with labels naturally generated by AI. The actual work process is: all the pipelines for data entry must be planned first, followed by cleaning the data. This part is the most difficult. After cleaning, labeling, classification and explicitness are started, and continuous optimization is started, and then it is packaged as a marketing tool. Application of activities.

Cross-channel data connection and accumulation to strengthen the brand Database application.

▲Cross-channel data concatenation and accumulation to strengthen brand database application

Xie Peifang said that Lin Data Technology will continue to deepen the accumulation and application of first-party data from brand owners in the short term. That is, from the customer's perspective, we develop SaaS services for all consumer journey nodes. The solutions range from network monitoring, advertising monitoring, APP optimization, and consumer inquiry systems to dividing the services into independent SaaS tools and Focusing on consumers, we integrate all data to help brand owners better understand consumers. The second stage is to develop a data market (Data Marketplace). After obtaining the consent of consumers, the data obtained will be de-personalized, such as different databases of investors with the same investment attributes, women in confinement, characteristics of diabetic patients, etc. Exchange or cross-industry cooperation is possible.

In the final stage, Lin Data hopes to help brand owners build a "data middle platform" to quickly integrate brand data assets, exchange data in a safe, clean and trustworthy environment, and create a data supermarket. In fact, there are more and more data markets in Taiwan, each with the ability to collect different data. Xie Peifang adopts an open attitude and believes that whichever one is useful to brand owners is a good data market. "Just like meat can be bought everywhere, but the methods of processing the meat are different and the taste is different. This is the skill of the chef." This is Xie Peifang's most appropriate metaphor for the data market.

Lin Data Technology Company Team .

▲Lin Data Technology Company Team

Note: The core idea of ​​the so-called "data middle platform" is data sharing. Through organizational adjustment, data warehousing, data synchronization and other technical methods, a middle platform that uniformly manages data sources and applications is designed to support internal uploads. Hundreds of business applications to avoid problems such as repeated construction and incomplete definition of data indicators.

Recommend Cases

【解決方案】2秒鐘完成結帳動作 Viscovery AI影像辨識助攻智慧零售
Complete checkout in 1 second, Viscovery AI image recognition assists smart retail

Artificial intelligence AI has gradually changed the way various industries operate in recent years However, most of the work is still done by humans, with AI playing a supporting role This has led to emergence of the term "AI Copilot," which stands for "AI-driven tools or assistants" that aim to assist users in completing various tasks and improve productivity and efficiency The concept of AI Copilot comes from the role of "co-pilot" During flight, the co-pilot assists the main pilot in completing various tasks to ensure flight safety and efficiency In fact, there have been signs of various "machines" beginning to play the role of "copilot" in different fields since the Industrial Revolution, assisting humans in completing heavy physical and repetitive tasks, greatly improving factory production efficiency, and driving rapid economic development Following the advancement of computing equipment and breakthroughs in machine learning, deep learning, and image recognition technologies, the concept of AI Copilot has gradually taken shape The development of AI Copilot marks the transition from "machine-assisted to AI-assisted" Early robots could only complete preset repetitive tasks, but today's AI copilot can learn and adapt to new environments and tasks, and continuously optimize its performance in practical applications This transformation not only changes human-machine interactions, but also has a profound impact on various industries The application scope of AI copilot covers various industries, including finance, healthcare, manufacturing, education, retail, etc, and are everywhere to be seen Application of AI copilot in the retail industry AI image recognition checkout In the retail industry, the application of AI copilot has begun to show concrete results Take Viscovery's AI image recognition checkout system as an example This system is a type of AI copilot model that helps store clerks speed up checkout or assists consumers in simplifying the self-service checkout process The store clerk needs to scan the product barcodes one by one in the regular checkout method If a product does not have a barcode, such as bread and meals, the clerk needs to first visually confirm the items, and then input them into the POS checkout system one by one Based on actual measurements at a chain bakery, it takes 22 seconds for an experienced clerk from "visual recognition" to "entering product information of a plate of 6 items into the checkout system" New clerks may need even more time In addition, according to a Japanese bakery operator, it takes 1 to 2 months to train employees to become familiar with products Now with AI image recognition technology, store clerks let AI handle the "product recognition" step, and AI will play the role of copilot, quickly identifying items within 1 second, speeding up checkout to save 50 of checkout time, and optimizing customers'shopping experience The time cost of training employees to identify bread can also be effectively shortened Even for products with barcodes, AI can quickly identify multiple items in one second, which is more efficient than scanning barcodes one by one The self-checkout system "assisted" by AI image recognition allows consumers to successfully complete shopping without the help of store clerks, eliminating the trouble of swiping barcodes or searching for items on the screen, which improves the shopping experience In a time when store clerks are hard to hire due to labor shortage, this also helps stores reduce operating costs AI quickly identifies multiple checkout items in just one second Source of image Viscovery Recently, startups dedicated to developing AI image recognition checkout solutions have emerged in various countries The most lightweight solution currently known is in Taiwan It can be immediately used by installing a Viscovery lens and a tablet installed with Viscovery AI image recognition software at the checkout counter to connect to the store's existing POS checkout system There are various integration methods, including plug-and-play and API solutions integrated with the store's POS system Viscovery AI image recognition system can be painlessly integrated with the store's existing POS system Source of image Viscovery Example of AI image recognition checkout Currently, the Viscovery AI image recognition system is being used in bakery chains in Taiwan, Chinese noodle shops in Singapore, micromarkets in department stores in Sendai, Japan, and Japanese bakeries and cake shops Over 7 million transactions were completed through this AI system, which identified more than 40 million items These use cases demonstrate the extensive application of the Viscovery AI image recognition system in the retail industry In the future, the company will continue to explore the various possibilities of using Vision AI in retail and catering nbsp The Viscovery AI image recognition system is already being used in bakeries, cake shops, restaurants, and convenience stores in Japan, Singapore, and Taiwan Source of image Viscovery

這是一張圖片。 This is a picture.
Make Meeting Records Efficient and Time-Saving with DeepWave's Smart Meeting Ink AI

Meeting Ink Enterprise Edition is now being launched Studies show that around 50 of content is forgotten within two hours after a meeting if not tracked and reviewed immediately multiple reports and transmissions can result in losing over one-third of key information Precise meeting records are crucial for organizations with strict operational protocols and public sectors However, with extensive meeting demands, recording can lead to losses in meeting outcomes and increase team burdens Spotting this market pain point, Taiwanese AI startup DeepWave has introduced 'Meeting Ink'—a new solution for meeting records that integrates voice, text, and automated AI technologies Meeting Ink supports voice-to-text transcription, speaker recognition, verbatim translation, and automated meeting summary highlights, offering flexible services for consumers and enterprises This year, it has added real-time verbatim scripting and translation, creating a new paradigm in meeting management AI Technology Solves Meeting Recording Pain Points in One Go Since its launch at the end of 2023, 'Meeting Ink' has become a high-efficiency and accurate meeting record management solution on the market DeepWave combines its proprietary technology, third-party tools, and Microsoft Azure's voice recognition technology to create the best voice-to-text experience Furthermore, this includes speaker recognition and segmenting, multiple language translation, and meeting summary functionalities across various scenarios To achieve broader applications, Meeting Ink also provides real-time application solutions, making it suitable not just for regular meetings but also for events, forums, and educational sessions Currently, Meeting Ink supports both app and web platforms, offering enterprise customization options to expand its applications further Excellent Voice Recognition Technology and Optimal User Experience Meeting Ink stands out in the market due to its precise voice recognition technology and user-centered application design Relying on DeepWave's proprietary technology, Meeting Ink can convert audio signals into text representing each speaker, distinguishing each participant's voice to ensure information is clearly differentiated Additionally, meeting content can be further summarized according to the speaker and, with DeepWave's optimized system, generate exclusive summary templates for various scenes and roles Whether for executive meetings, academic forums, personal interviews, or learning sessions, Meeting Ink produces tailored summaries for different contexts, bringing higher efficiency and flexibility to meeting recording experiences Precisely Targeting Enterprise Needs, Providing Comprehensive Enterprise Applications Anticipating the shifting market demands, DeepWave has launched a customized service plan tailored for B2B frameworks, further optimizing Meeting Ink's application on the enterprise side Enterprise clients can use the professional edition and enjoy exclusive customized summary modules tailored to specific industry needs DeepWave commits to regularly updating AI modules to ensure the most advanced technological support Additionally, Meeting Ink's enterprise service plan emphasizes data security, account permission management, unlimited storage space, and multi-device compatibility supporting all recording scenarios Offered at the lowest market rates, this provides an economical and efficient solution for enterprises, allowing them to focus on core tasks and enhancing overall meeting efficiency Embracing the Pulse of the AI Era, Leading Market Applications According to a 2023 market report, the global market for AI application tools is expected to grow from nearly 7 billion to 50 billion over the next decade, with business and learning tools playing key roles Facing the rapid progression of AI technology, DeepWave leverages its technical prowess and innovative capacity to penetrate international markets with Meeting Ink, continually bringing revolutionary changes to meeting records for both businesses and individuals Going forward, DeepWave will continuously optimize Meeting Ink, committed to promoting the close integration of AI technology with everyday work and learning scenarios, creating more convenient and efficient working environments for users 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-11-15」

【解決方案】光禾感知科技智慧球場體驗 AR互動讓看球變得更加有趣
OSENSE Technology Qubby AI customer service helps enterprises comprehensively upgrade from customer service to knowledge management

"What are your business hours" "What are the functions and features of the product" "What discounts are available now" "Does the product have a warranty" "Does the manufacturer cooperate with the product for repair" From the perspective of consumers, every inquiry is a unique customer experience, but from the perspective of companies, 90 or more of these questions are repeatedly asked every day OSENSE Technology's Qubby AI customer service can help companies seize the opportunity to continue to provide high-quality customer services every time they come in contact with customers, and optimize service processes through AI to create an efficient service team Taiwanrsquos first IMSNS virtual human real-time interactive voice AI customer service Qubby AI The information age has caused changes in consumer behavior Companies have deployed online and offline platforms, such as official website apps for their brands, physical stores, distribution channels, and third-party e-commerce, to increase channels for contact with consumers However, this has created a greater workload for customer service personnel, who need to monitor even more channels to provide timely services OSENSE Technology's Qubby AI customer service helps enterprises integrate and manage multiple platforms, such as websites, LINE, Facebook Messenger, WhatsApp, and multimedia interactive machines, with a single account The service supports 29 languages and serves domestic and overseas customers 247, building good relationships by meeting customer needs and creating an endless stream of important and valuable customers Qubby AI customer service features Saves training time, standardized AI response, supports IMSNS, improves customer service efficiency, optimizes the service experience, and the web page is applicable everywhere Efficiently create enterprise-specific AI customer service in 3 steps, eliminating the need for design QA OSENSE Technology has condensed the establishment of Qubby AI customer service into three steps based on its years of experience with domestic and overseas projects and strong technical capabilities, so as to help enterprises build efficient teams The first step is to create an image and personify the corporate image Upload a profile photo, create a realistic or anime-style 3D virtual person, or customize a real person image, transforming the one-way corporate communication model in the past into a two-way interactive service model It not only improves brand favorability among customers, but is also an indispensable part of creating warm services The second step is to select the voice Qubby AI customer service can interact with customers through text, preset QampA, and voice For voice, users can choose the system's preset AI voice, or use AI to clone a real person's voice It supports the conversion of 29 languages, and is like customer service personnel providing services in person, increasing customersrsquo trust in the brand The third step is to establish a knowledge base An AI brain knowledge base can be created by simply uploading a PDF file For languages supported by AI translation for Chinese text, there is no need to design questions and answers one by one The AI machine trains and learns corporate and product knowledge, automatically extracts knowledge related to user questions, and integrates knowledge for responses, greatly shortening the development and training time Another feature of Qubby AI customer service is that it can incorporate "personality," such as liveliness, confidence, and gentleness, into the character, and give it "ambition" and "mission," making the customer service more flexible and closer to the corporate brand image Combined with industry Know-How, it can also become an industry-specific AI customer service application For example, Qubby AI DentalGPT, Taiwan's first AI customer service specifically developed for dentists, has been trained into an exclusive AI model and database of dental knowledge, health education information, and common issues of clinics, and was integrated into a convenient and easy-to-use package Companies only need to follow 3 steps Create an image, choose a voice, and build a knowledge base to quickly create an exclusive Qubby AI customer service Qubby AI's diverse applications help enterprises comprehensively upgrade from customer service to knowledge management Qubby AI customer service has been used a wide range of industries, such as the healthcare industry, financial industry, electronics industry, conference and exhibition industry, education industry, department store retail industry, public relations service industry, and celebrities The services range from external product sales, event promotion, and customer service to internal HR assistant, knowledge management, compliance, technical maintenance and applications It has become the most intelligent, efficient, and direct business partner for enterprises In addition to helping optimize the service process, allowing personnel to focus on solving truly difficult and valuable problems, Qubby AIrsquos back-end data records the number of times, the time, platform, device, and conversation history of customers using AI customer services, and can export the data Insights into customers can be further discovered from the conversations, and create new types of services to seize business opportunities The Qubby AI customer service back-end completely records user information and data A free 14-day trial offered to find distribution agents to jointly expand domestic and overseas markets To assist enterprises with digital transformation, OSENSE Technologyrsquos Qubby AI customer service offers a free 14-day trial, which provides AI text and expected voice customer services, AI knowledge base construction, a limit of 6,000 messages per month, and 3D virtual human default character to reduce enterprisesrsquo doubts about the AI solution Aside from its efforts to further develop Taiwanrsquos market, OSENSE Technology is actively expanding into international markets, such as the United States, Japan, and Southeast Asia In January 2024, it has signed a contract with the largest clinic management system developer in Southeast Asia to bring Qubby AI customer service southward, hoping to provide comprehensive AI digital services and solutions to medical institutions and people ofnbsp Southeast Asia, creating better healthcare experiences and expanding the smart healthcare ecosystem AI is ushering in a new industrial revolution According to Gartnerrsquos estimates, there are approximately 17 million customer service personnel working in customer service centers around the world 95 of the cost of a customer service center is from personnel Even if 10 of the service volume is automated, tens of billions of US dollars can be saved every year Based on the 2023 Taiwan Industrial AI Survey released by the Artificial Intelligence Foundation, nearly half of Taiwanrsquos companies still have not used AI services This shows the huge AI business opportunities OSENSE Technology is thus actively seeking distributors and agents to jointly expand domestic and overseas markets