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【2020 Solutions】 Emerging AI Team Atelli, Elevating Advertising Optimization to Evolution with AI Ad Pitcher

Emerging AI technology team Atelli has joined the Taiwan marketing tech circle, developing multifaceted AI products with core algorithm technologies to help businesses enhance their commercial outcomes. Atelli, originally branched out from the digital marketing consultancy adGeek. Co-founder Chen Jianming pointed out 'Technology is increasingly leading digital marketing, and the use of data will only increase. Facing a massive amount of data and competitive external environment, advertisers need to utilize technology to reach potential customers, achieve goals, while also effectively managing manpower and time.' Hence, the team started developing AI advertising products a year ago, and now Atelli has become an independent AI technology company, focusing on the development of AI products.

Atelli launched the first product of its Business Booster series in 2019, the AI Ad Pitcher, helping advertisers execute Google and Facebook ads with AI. Within six months, over 500 Facebook ad accounts were accumulated, with a monthly advertising spend of over 50 million, helping customers find potential market customers previously hard to reach manually. The team shared many customer experiences with the product; besides improving performance, there's no need for complex system setup processes. It can go live in just 15 minutes, and automatically optimize ad performance 24 hours a day, indeed reducing 90% of the marketing staff's workload, allowing them to focus on more significant business strategies. The thoughtful product design has successfully established customer goodwill and trust.

Atelli co-founder Huang Yingzhe stated, 'The shift in the marketing environment is truly an evolutionary process. We deeply understand the challenges enterprises face, including adapting to technology, the burden of labor costs, and expectations towards goals. Using technology to help businesses overcome challenges is the purpose of establishing Atelli, combining AI with data to transform past manual advertising optimization into advertising evolution. Positive customer feedback and goal achievement prove that we are on the right track.'

The biggest competitive advantage of the Atelli AI Ad Pitcher comes from three features: achieving the best AI evolutionary algorithms, generating a high-value audience, moving away from rigid rule-based adjustments, considering multiple real-life scenarios, integrating more human elements; and comprehensive intelligent adjustments. An advertising campaign involves many different setting elements, such as audience interests, age/gender, keyword themes, etc., each considered as an 'individual.' With AI algorithms, past 'advertising optimizations' are elevated to 'advertising evolution.'

Atelli's AI Ad Pitcher can automatically adjust bids, thereby reducing advertising costs. (Image source: Atelli)

▲ Atelli's AI Ad Pitcher can automatically adjust bids, thereby reducing advertising costs. (Image source: Atelli)

Atelli's AI Ad Pitcher can locate target audiences that are difficult for the human brain to figure out, thus improving advertising effectiveness. (Image source: Atelli)

▲ Atelli's AI Ad Pitcher can find target audiences that are difficult for the human brain to envision, thus boosting advertising effectiveness. (Image source: Atelli)

 

Supported by Atelli, successful cases of enhanced advertising effectiveness are spread across various industries. For example, by optimizing operations with AI, the team helped a client running a fashion e-commerce platform to improve the quality of new site visitors, reducing new visitor acquisition costs by 60% and increasing orders by 160%. For clients in the health food industry promoting new products online, the team used its core algorithms to precisely determine the target demographic, not only reducing the advertising cost by more than 10% but also increasing new customers by 200%. Moreover, through AI automation and ad combination matching to find potential target groups (high-value, new customers), the cost of gathering prospects for exclusive events like luxury car shows and online computer courses went down by at least 50%.

Atelli Product Manager Chen Lin mentioned their AI product with pride, saying, 'We are fully confident in our ability to help advertisers, based on our extensive past ad optimization experience and over five years of accumulated data. Whether it's expertise or the volume of data, we're sure we can assist. Moreover, integrating all ad campaigns seamlessly, we significantly reduce the customer's execution burden. The system is easy to use, time-saving, finds more new customers, and effectively boosts performance. The feedback we often hear from customers is that AI-run ads can increase effectiveness by an average of 10%-20%, with some customers seeing improvements of up to 200%-300%. Therefore, customers are willing to continue using AI to enhance their brand's competitive edge. Atelli will continue to develop diverse AI products to help Taiwanese business owners find the best solutions through technology.'

 

To learn more about the Atelli AI Ad Pitcher product details, feel free to contact the Atelli team:Contact E-mail: cs@atelli.ai

(This article is published with authorization from Atelli on AI HUB)

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

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【解決方案】聲麥無線推出殺手級5G即時AI語音翻譯 降低5成口譯成本
VM-Fi launches killer 5G real-time AI voice translator that reduces interpretation costs by 50%

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【解決方案】讓硬碟裡的音樂重生 愛飛媒平運用AI為影像找到最佳拍檔
Rebirth the music on the hard drive. Aifei Matchmaking uses AI to find the best partner for the image.

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【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 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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 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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」