アイスマイリー List of Products and Services

This document is a practical guide for selecting the most suitable service from the diversifying RAG solutions and overcoming the "accuracy barrier" after implementation. It classifies the main RAG solutions into three types and compares them based on their characteristics and implementation speed. Additionally, it includes a "diagnostic chart" that allows you to determine the suitable implementation type for your company by answering just three questions. Furthermore, it provides detailed explanations on "data structuring (text conversion of drawings and forms)" and "annotation (evaluation of response accuracy)," which are crucial for the success of RAG utilization. It covers solutions to address challenges in each phase, as well as a roadmap from implementation to operation, encompassing the know-how needed to lead projects to success. *For detailed content of the article, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

• Other Software

This document introduces AI-based solutions and successful examples for municipalities and public service providers facing serious challenges such as population decline and staff shortages. Looking ahead to 2040, when staff is expected to be halved, what kind of AI implementation is progressing on the ground to achieve stable and sustainable service delivery? It presents three practical use cases directly related to solving on-site issues, including the efficiency of resident responses through chatbots, the automation of nursery school admission selection using AI matching, and infrastructure inspections conducted by robots. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

• Other power generation
• Customer Support

This document categorizes and visualizes over 100 domestic robot and AI solutions aimed at addressing challenges in the era of physical AI through the approaches of "autonomy, collaboration, and enhancement." It consolidates various types of robotic hardware (bodies), such as autonomous mobile robots (AMRs), collaborative robots, humanoids, and drones, along with "development and control AI (brains)" that provide them with advanced judgment, vision, and tactile capabilities, into a single map. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

• Automatic transport robot
• Picking robots (shelf transport robots, arm picking robots)

In the credit card industry, it is a significant challenge to suppress customer churn. Customer attrition directly leads to a decrease in revenue, so it is necessary to identify the causes and implement appropriate measures. This document is organized into five major categories and twelve subcategories, based on the latest AI solutions for the financial and insurance industries, taking into account the latest trends in FinTech and InsurTech. It is structured to make it easier to find solutions that help address churn. 【Usage Scenarios】 - Customer behavior analysis - Analysis of reasons for cancellation - Churn prediction 【Effects of Implementation】 - Reduction in churn rate - Improvement in customer lifetime value - Optimization of churn prevention measures

• Other Software

In the insurance industry, fraud detection requires the ability to identify increasingly sophisticated fraudulent activities and respond quickly. It is crucial to detect fraudulent claims and suspicious behaviors early to minimize losses. This document is a chaos map summarizing AI solutions specifically focused on fraud detection in the insurance industry. It contributes to strengthening risk management and gaining trust from customers. 【Use Cases】 - Detection of fraudulent insurance claims - Identification of suspicious policyholders - Extraction of cases with high fraud risk 【Benefits of Implementation】 - Reduction of losses due to fraud - Increased efficiency in investigation operations - Enhanced reliability from customers

• Other Software

In the securities industry, risk management requires the swift and accurate identification of a wide range of risks, including market fluctuations and customer trading conditions. In particular, compliance adherence and the prevention of fraudulent transactions are essential for maintaining a company's credibility. Establishing an appropriate risk management framework serves as a foundation for the sustainable growth of a company. This document organizes the latest AI solutions for the financial and insurance industries into five major categories and twelve subcategories, taking into account the latest trends in FinTech and InsurTech. It includes the latest solutions that cover the value chain of financial institutions and insurance companies, from risk management to revenue enhancement and back-office reform. The structure is designed to make it easier to find the optimal solutions based on the challenges and objectives within the industry. 【Usage Scenarios】 - Analysis of market risk - Assessment of credit risk - Compliance adherence - Detection of fraudulent transactions 【Benefits of Implementation】 - Early detection and response to risks - Improvement of operational efficiency - Strengthening of compliance systems

• Other Software

In banking credit operations, it is important to accurately assess the credit risk of customers and minimize the risk of default. By utilizing AI technology, it becomes possible to analyze past data and external information, enabling more accurate credit judgments. This document is organized into five major categories and twelve subcategories, based on the latest trends in FinTech and InsurTech, and is aimed at the financial and insurance industries. It includes the latest solutions that cover the value chain of financial institutions and insurance companies, from risk management to revenue enhancement and back-office reform. The structure is designed to make it easier to find the optimal solutions according to the challenges and objectives within the industry. 【Usage Scenarios】 - Streamlining credit screening - Enhancing risk assessment - Fraud detection 【Benefits of Implementation】 - Accelerating credit judgments - Reducing default risk - Improving operational efficiency

• Other Software

This document categorizes the latest AI solutions for the financial and insurance industries into five major categories and organizes them into twelve subcategories, taking into account the latest trends in FinTech and InsurTech. It includes the latest solutions that cover the value chain of financial institutions and insurance companies, from risk management to revenue enhancement and back-office reform. The structure is designed to make it easier to find the optimal solutions based on the challenges and objectives within the industry. *For detailed content of the article, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

• Other Software

In the hotel industry, flexible pricing that adjusts to demand fluctuations is key to maximizing revenue. In particular, price adjustments that take into account various factors such as competitor hotel trends, event occurrences, and seasonality are complex and time-consuming tasks. Appropriate pricing is essential for improving room occupancy rates. This document introduces AI solutions that assist with price adjustments. 【Usage Scenarios】 * Competitor hotel price research * Pricing based on demand forecasting * Price adjustments during events 【Benefits of Implementation】 * Improved room occupancy rates * Maximized revenue * Streamlined pricing operations

• MA

In the e-commerce industry, personalized recommendations are essential to stimulate customer purchasing intent and maximize sales. Proposing products based on customers' past purchase history, browsing history, and interests enhances customer satisfaction and leads to acquiring repeat customers. However, addressing diverse customer needs and achieving effective recommendations require advanced AI technology and expertise. This document introduces AI recommendation solutions that contribute to solving challenges faced by e-commerce sites. 【Usage Scenarios】 * Product recommendations on e-commerce sites * Personalized product suggestions for customers * Increased sales and enhanced customer satisfaction 【Benefits of Implementation】 * Stimulates customer purchasing intent and boosts sales * Improves customer site engagement rates * Enhances customer satisfaction and creates repeat customers

• MA

In the food and beverage industry, optimizing operations is essential to address labor shortages and the diversification of customer needs. In particular, improving the efficiency of order management, inventory management, and staff allocation is crucial for reducing costs and enhancing customer satisfaction. This document summarizes the latest AI solutions that innovate operational efficiency and customer experience in restaurants. 【Use Cases】 * Optimization of order management systems * Automation of inventory management * Optimization of staff allocation * Automation of customer interactions * Efficiency in menu development 【Benefits of Implementation】 * Significant improvement in operational efficiency * Reduction in labor costs * Increased customer satisfaction * Potential for increased sales * Data-driven decision making

• MA

In the travel industry, there is a demand for faster response times and improved quality in handling customer inquiries. In particular, 24/7 availability, multilingual support, and personalized information provision are essential. To meet the diverse needs of customers and provide a smooth travel experience, the implementation of AI chatbots is indispensable. 【Use Cases】 * Handling reservation changes and cancellations * Providing tourist information * Responding to FAQs * Multilingual support * Handling customer inquiries 【Benefits of Implementation】 * Increased customer satisfaction * Improved operational efficiency * Cost reduction * 24/7 availability * Multilingual support

• MA

In the retail industry, accurate demand forecasting is essential for optimizing inventory management and reducing lost opportunities. Particularly, predicting the demand for products that are susceptible to seasonal fluctuations, promotions, and external factors is crucial for maximizing profits. Inaccurate demand forecasts can lead to lost sales opportunities due to excess inventory or stockouts. This document introduces AI solutions that can assist with demand forecasting in the retail industry. 【Use Cases】 * Demand forecasting by product in stores * Demand forecasting for online stores * Demand forecasting for seasonal products 【Benefits of Implementation】 * Cost reduction through inventory optimization * Increased sales through maximization of sales opportunities * Improved customer satisfaction

• MA

This document is a practical report that visualizes the "real challenges" companies are currently facing and the "specific solutions" to those challenges, based on the latest industry trend explanations and the vast amount of inquiry data received daily by AIsmiley. It explains rapidly growing hot categories such as "AI agents" and "RAG construction" by contrasting the 【Before (challenges faced by companies)】 and 【After (image of AI utilization)】. You can gain insights into the "current state" of AI utilization and the "next themes to come" by 2026. 【Contents (partial)】 - Trend words in the AI industry - AI news that changes business - Top 5 popular contents chosen on the ground - Top 5 applications and categories of AI utilization - Challenges and AI utilization images by category *For more details, please download the PDF or feel free to contact us.

• MA

This document summarizes the latest AI solutions that innovate operational efficiency and customer experience for the retail, service, and e-commerce industries. With the remarkable evolution of generative AI and the practical implementation of AI agents, the use of AI in the retail, service, and e-commerce sectors is rapidly expanding. Support is now possible across a wide range of activities, not limited to traditional data analysis and advertising optimization, but also including content generation, customer interactions, campaign design, and demand forecasting. *For detailed content of the article, please refer to the related links. For more information, feel free to download the PDF or contact us.*

• MA

This document is intended to cultivate personnel who can utilize generative AI within the company. It organizes the challenges companies face regarding the "skill sets required for AI utilization" and "building an internal reskilling system," and presents a list of reskilling services categorized by level. *For detailed content of the article, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

• Employee training

This document presents the latest trends in the use of AI in call center operations, along with comparative information on key AI tools that contribute to operational efficiency. We introduce AI solutions that are being actively implemented and utilized, such as "voice bots" that automate customer interactions and improve the quality of inquiry responses, as well as "speech recognition AI" and "AI operator support tools" that assist operators. The content is designed to serve as a reference for company representatives considering implementation, allowing them to compare and select suitable options. Please feel free to download it. [Contents (partial)] ■ Current status and challenges of AI utilization in call center operations ■ Key AI solutions supporting operational efficiency (voice bots / chatbots / operator support, etc.) ■ List of features, strengths, and providers of each product ■ Case studies *For more details, please download the PDF or feel free to contact us.

• Customer Support

We would like to introduce five points to consider when choosing a Dify construction support service. To select the right partner, we recommend checking their track record and expertise in AI agent construction, their ability to develop integrations with existing systems, and the breadth of their service areas (from upstream to downstream). Please feel free to contact us when you need assistance. 【Points】 ■ Track record and expertise in AI agent construction ■ Ability to develop integrations with existing systems ■ Breadth of service areas (from upstream to downstream) ■ Understanding of industry and business ■ Development structure and communication *For more details, please download the PDF or feel free to contact us.

• Chatbots
• Other Software

When introducing Dify, an important point is whether to develop it from scratch in-house or to build it with the support of a specialized company. The choice will significantly affect the development speed, cost, and the degree of accumulated in-house know-how. Please feel free to contact us when you need assistance. 【Comparison Items】 ■Speed ■Cost ■Know-how ■Customization Flexibility ■Human Resources ■Accumulated Know-how *For more details, please download the PDF or feel free to contact us.

• Chatbots
• Other Software

"Dify" is an open-source LLMOps platform that allows for the rapid development and operation of generative AI-native applications with no-code/low-code. It comprehensively provides prompt engineering, RAG, agent functionalities, and more, enabling the implementation of AI features without the need for specialized backend development. In particular, it excels in building AI agents that enable autonomous task execution by integrating external APIs and proprietary business logic as "tools" for the AI. 【Features】 ■ Intuitive GUI ■ Fast AI agent development ■ Support for a wide range of LLMs ■ Standard BaaS functionality ■ Flexibility of OSS *For more details, please download the PDF or feel free to contact us.

• Chatbots
• Other Software

This document is a comprehensive comparison guide for Dify construction support services. "Dify" is a powerful tool that allows for the development of high-functionality AI applications through intuitive GUI-based operations. However, to fully leverage its potential and build an AI agent optimized for your company's operations, specialized knowledge and expertise are essential. We will provide a thorough explanation of the basic overview of Dify, the advantages and disadvantages of in-house development versus expert construction support services, and the service offerings, strengths, and features of the top 10 companies providing Dify construction support in Japan. We hope this will assist companies considering the use of this tool for operational efficiency in finding the right partner. [Contents (excerpt)] ■ About this document ■ What is Dify? ■ Options for Dify implementation: Comparison of in-house development and construction support services ■ Five points for choosing Dify construction support services (checklist format) ■ Companies providing Dify construction support services ■ Company overview *For more details, please download the PDF or feel free to contact us.

• Chatbots
• Other Software

In recent years, with the evolution of generative AI and large language models, chatbots have expanded their potential beyond traditional FAQ responses and customer support to various fields such as marketing, sales, operational efficiency, and even internal communication support. In the future, chatbots are expected to become mainstream with multi-platform support and multi-modal communication that includes voice and video, increasingly attracting attention as important tools for promoting digital transformation (DX) in companies. By identifying appropriate solutions to the challenges faced by various companies and utilizing chatbots, significant improvements in customer satisfaction and operational efficiency can be anticipated. We hope that this document will assist you in formulating a suitable chatbot implementation strategy for your company, taking into account advanced market trends and technological developments, as well as addressing future business challenges. *For detailed content of the document, please refer to the PDF. For more information, feel free to contact us.

• Chatbots

A chatbot is a coined term that combines "chat" (conversation) and "robot," referring to a program that automatically engages in dialogue with users. Traditionally, its main applications were automated responses to standard inquiries, such as FAQ handling and customer support. However, in recent years, advancements in generative AI technology have enabled more natural and flexible conversations. With the emergence of new large-scale language models (e.g., the GPT-4 series), chatbots are increasingly capable of understanding user intent and context accurately, generating appropriate responses based on the situation, rather than being limited to fixed answers. This document aims to support companies in smoothly implementing chatbots by comparing the features, implementation costs, and ease of operation of major products, focusing on chatbot services equipped with the latest class of AI technology. *For detailed content of the document, please refer to the PDF. For more information, feel free to contact us.*

• Chatbots

This document introduces hints and ways to utilize generative AI to transform operations across all industries and job roles. Starting with examples of utilization and success stories aimed at supporting the sales department, we have included 15 specific use cases categorized by department, such as marketing, human resources and general affairs, and accounting and finance. Please feel free to use this as a reference for your company's implementation. [Contents] ■ Introduction / Background ■ [By Department] Specific Use Cases / Success Stories ■ Three Key Points for Successful AI Utilization ■ Introduction to AIsmiley / Service Overview *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

To successfully implement AI company-wide without limiting to specific departments or job types, there are some key points to consider. During implementation, it is important to take existing systems and costs into account. It is necessary to think about how to ensure smooth utilization of AI. Additionally, since there are certain risks associated with usage, it is essential to thoroughly check whether AI utilization could lead to information leaks or whether it poses any legal or logical risks. Furthermore, implementing AI is not the end of the process. There needs to be a common understanding among all employees about its use throughout the business, and they must be able to effectively utilize it. Continuous support after implementation is crucial for successful AI utilization. **Three Key Points for Successful AI Utilization** - Consider existing systems and costs during implementation - Aim for operations that address risks - Provide ongoing support until users are proficient *For more details, please download the PDF or feel free to contact us.*

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

We will introduce examples of utilizing generative AI aimed at supporting SE in the research and development department. It is possible to automate routine tasks such as automatic generation of programming code and scripts for test code. We provide an environment where beginners and non-engineers can develop prototypes. Additionally, we have successfully established a system development method incorporating generative AI that reduces development man-hours by approximately 70% compared to traditional methods. 【Utilization Details】 ■ AI automatically generates programming code, reducing development man-hours ■ Automation of routine tasks such as scripts for test code ■ Reduces the workload of engineers, allowing them to focus on upstream processes and advanced design ■ Provides an environment where beginners and non-engineers can develop prototypes *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

Here are some examples of how generative AI is utilized in the research and development department. AI is also used for summarizing texts and checking content against relevant regulations. As a result, it can transform long texts containing specialized terminology into a format that can be understood in a short time, and it can be combined with translation to efficiently grasp the content of foreign language papers. 【Utilization Details】 ■ AI automatically summarizes research papers and foreign specialized literature ■ Transforms long texts containing specialized terminology into an understandable format in a short time ■ Combined with translation to efficiently grasp the content of foreign language papers ■ Automatically generates summaries optimized for reports and presentations *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

This is an introduction to a case where generative AI is utilized for legal compliance checks in the research and development department. The applications include automatic checks of information related to laws and patents, as well as verifying whether expressions within documents comply with laws and regulations. AI can also be used for summarizing texts and checking content against relevant regulations. 【Applications】 ■ Automatic checks of information related to laws and patents ■ Verification of whether expressions within documents comply with laws and regulations ■ Early detection of risks by referencing the latest relevant regulations and industry rules ■ Support for confirming intellectual property rights and ensuring compliance in research and development *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

Here is a case of utilizing generative AI for creating customer support manuals. By leveraging AI, we can automatically generate troubleshooting guides based on the data accumulated in customer support. It is possible to efficiently update troubleshooting manuals by organizing past customer interaction histories. Additionally, there are successful examples where municipalities have implemented FAQ systems utilizing vast amounts of data, resulting in improved user satisfaction and response efficiency, as well as reduced workload for staff. [Utilization Details] - Automatically generate troubleshooting guides based on data accumulated in customer support. - Efficiently update troubleshooting manuals by organizing past customer interaction histories. - Automatically generate standardized manuals that can be used for training new operators. - Formalize tacit knowledge and make it shareable across the organization. *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

Here are examples of utilizing generative AI aimed at improving operational efficiency in customer support. Specifically, it can be used for automating and streamlining After Call Work (ACW) in call centers, delegating the input of interaction details, and automating routine tasks. By significantly reducing ACW in call centers, operational efficiency can be improved, and trouble response manuals can be created based on accumulated information. 【Utilization Details】 ■ Automate and streamline After Call Work (ACW) in call centers ■ AI takes over the input of interaction details, reducing the burden on operators ■ Utilize accumulated information in AI to enhance the speed and accuracy of customer interactions ■ Automate routine tasks to concentrate resources on more complex operations *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

Here are examples of utilizing generative AI in customer support. By leveraging AI, we can reduce the costs of responding to foreign customers through multilingual support. Additionally, automating frequently asked inquiries significantly cuts down on operator workload, enabling a reduction in human resource costs. There are successful cases where initial responses were automated using voice bots, completing about 80% of inquiries through the bot and achieving a response rate of over 90%. 【Utilization Details】 ■ Achieving 24/7 support through AI-driven automated responses, reducing labor costs ■ Lowering the costs of responding to foreign customers through multilingual support ■ Automating frequently asked inquiries, significantly reducing operator workload ■ Streamlining the process by escalating only complex inquiries to humans *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

Here is an example of utilizing generative AI for financial data analysis in the accounting and finance department. It can automatically calculate management indicators from P/L, B/S, and C/F, generate dashboards, discover areas for improvement from financial data, and automatically propose specific measures. AI performs accounting tasks on behalf of humans. Not only does it eliminate the hassle and errors of data entry, but it can also analyze all accumulated data, making it easy to create financial status reports from daily operational data. [Utilization Details] ■ Automatically calculates management indicators from P/L, B/S, and C/F, and generates dashboards ■ Detects anomalies from historical data and automates alert notifications ■ Visualizes the company's position through financial comparison analysis with industry peers ■ Monitors accounts receivable delays and abnormal inventory increases in real-time ■ Discovers areas for improvement from financial data and automatically proposes specific measures ■ Streamlines investment decisions and prioritization of measures through ROI simulation *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

We will introduce specific use cases of generative AI in the accounting and finance departments. AI performs accounting tasks on behalf of humans. A significant feature is the elimination of input hassle and errors. It can be utilized for automating routine tasks such as attendance and expense reimbursement, promoting paperless operations through automatic digitization of receipts and invoices, and automating data linkage and reconciliation tasks across multiple systems. [Utilization Details] ■ Reading invoices and receipts with AI-OCR and automatically converting them into journal entry data ■ AI automatically processing routine tasks such as attendance and expense reimbursement ■ Promoting paperless operations through automatic digitization of receipts and invoices ■ Automating data linkage and reconciliation tasks across multiple systems ■ Learning from past journal entry patterns and automatically suggesting appropriate journal entries *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

We would like to introduce examples of utilizing generative AI aimed at breaking away from person-dependent tasks in the Human Resources and General Affairs department. Specific applications include delegating internal inquiry responses and standardizing inquiry processing, organizing internal regulations and procedures, and centralizing scattered information. Additionally, by building a system that accumulates manuals for the logistics management system and allows a chatbot to respond, we have been able to reduce training time and on-site burdens, as well as decrease person-dependent responses. 【Utilization Details】 ■ AI delegates internal inquiry responses and standardizes inquiry processing ■ Learns the response know-how of veteran employees and deploys it company-wide ■ Supports inquiries from overseas locations through multilingual capabilities ■ AI automatically detects updates to regulations and always reflects the latest status ■ Visualizing and standardizing business processes eliminates dependency on specific employees ■ Optimizing business flows with AI prevents risks of person-dependency and business stagnation *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

We would like to introduce a case where generative AI has been utilized to enable automated responses in the Human Resources and General Affairs department. In addition to automating processes such as expense reimbursement, attendance management, and equipment requests through an internal chatbot, it also streamlines cross-departmental information searches, reduces the investigation time for responsible personnel, and provides automated responses to FAQs and inquiries from within the company using AI. There are various ways to utilize this technology. If you are interested, please feel free to contact us. 【Utilization Details】 ■ Automating processes such as expense reimbursement, attendance management, and equipment requests with an internal chatbot ■ Streamlining cross-departmental information searches and reducing investigation time for responsible personnel ■ AI providing automated responses to FAQs and inquiries from within the company ■ Learning from past inquiry history to provide appropriate answers instantly ■ Automatically generating standard operating procedures in a tutorial format ■ Providing clear explanations and level adjustments according to the user's proficiency *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

We would like to introduce examples of utilizing generative AI aimed at promoting operations in the Human Resources and General Affairs departments. AI can assist in document review and support the creation of documents such as job postings and internal regulations. Specific applications include the automatic creation of updates to internal regulations in response to legal amendments, as well as analyzing applicants' responses to automatically generate suitability scores and reports. 【Utilization Details】 ■ AI automatically generates job postings and internal regulations, optimizing the text. ■ Creates appropriate job postings based on job requirements, learning from past successful cases to improve. ■ Automatically creates update proposals for internal regulations in response to legal amendments. ■ Reduces workload by 60% through automatic aggregation of interview evaluations. ■ Analyzes applicants' responses to automatically generate suitability scores and reports. ■ Provides 24/7 support for scheduling interviews according to applicants' availability. *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

Here are examples of utilizing generative AI in the marketing department. By leveraging AI, it is possible to learn from past campaign data and predict the success rate of new marketing initiatives. Additionally, there are successful cases where AI talents were used in TV commercials and package designs created with generative AI, which enhanced product appeal and brand value. [Utilization Details] ■ Learning from past campaign data to predict the success rate of new marketing initiatives ■ Automatically generating campaign content optimized for each target customer segment ■ Automating everything from A/B test design to execution and result analysis, speeding up the PDCA cycle ■ Integrated campaign management across multiple channels (Web, email, SNS, etc.) ■ Measuring campaign effectiveness in real-time and automatically optimizing delivery content and budget allocation *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

We would like to introduce examples of utilizing generative AI in the current state of the marketing department and data analysis. By leveraging AI, the aggregation and analysis of information become easier, and it is possible to support the utilization of collected information and the progression of measures derived from the analysis. Specific applications include the automation of regular report generation, which achieves efficiency in KPI monitoring, as well as the automatic detection of anomalies and outliers, providing alert notifications and analysis of their causes. 【Utilization Details】 ■ Ask questions about large amounts of internal data (sales, inventory, customer information, etc.) in natural language and obtain analysis results instantly. ■ Analyze multiple data sources transversely to automatically detect correlations and hidden patterns. ■ Achieve efficiency in KPI monitoring through the automation of regular report generation. ■ Automatically detect anomalies and outliers, providing alert notifications and analysis of their causes. ■ Collect and analyze publicly available information from competitors and social media data to understand market trends. *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

We would like to introduce a case study on the use of generative AI aimed at strengthening customer follow-up in the sales department. By utilizing AI, it becomes possible to prioritize customer follow-ups, analyze inquiries from customers, and automatically formulate response schedules. AI collects and analyzes customer data, allowing sales teams to efficiently plan their approaches, making after-sales follow-up more efficient as well. 【Utilization Details】 ■ Prioritization of customer follow-ups using AI ■ Analysis of customer inquiries and automatic formulation of response schedules ■ Automatic detection and alerting of customers with missed follow-ups ■ Proposing accurate follow-up strategies based on data *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

We would like to introduce examples of utilizing generative AI aimed at supporting operations in the sales department. Specific applications include the automatic creation of sales materials to be submitted to clients and PowerPoint presentations used in negotiations, as well as automatic replies to customer emails and automatic summarization of email content. AI also gathers and analyzes customer data, helping sales teams approach efficiently, making follow-ups more effective. 【Applications】 ■ Automatically create sales materials to be submitted to clients and PowerPoint presentations for negotiations ■ Create minutes for sales meetings ■ Automatically reply to customer emails and summarize email content ■ Create sales lists and check progress ■ Propose high-priority tasks and support negotiations using AI *For more details, please download the PDF or feel free to contact us.

• CRM (Customer Relationship Management System)
• Manual Creation
• Chatbots

The "Generative AI Chatbot Chaos Map" is a document that summarizes the latest generative AI chatbots covering everything from internal use to customer support. As the utilization of generative AI rapidly expands, the introduction of generative AI chatbots that support companies in improving operational efficiency and enhancing customer experience is progressing quickly. This chaos map includes the latest chatbots that can be widely used, from streamlining internal operations to optimizing customer touchpoints. It is structured to make it easier to find the most suitable solutions based on use cases and objectives. In addition to the chaos map, we also provide a list of AI service providers (Excel) free of charge, so feel free to download it if you are interested. *You can view the detailed content of the article through the related links. For more information, please download the PDF or feel free to contact us.*

• Other Software

The company Aismiley, which operates the AI portal media "AIsmiley," has released the "RAG Solution Chaos Map," which summarizes advanced RAG solution services that can be utilized across a wide range of industries, on October 8, 2025. A total of 84 products are listed. RAG refers to a mechanism that combines generative AI with external databases to produce accurate and reliable answers and analysis results. In recent years, the introduction of RAG has been advancing in various business areas such as knowledge management, internal inquiry response, sales support, and technical document search, significantly contributing to improved operational efficiency and enhanced decision-making. *For more details, you can view the article through the related link. For more information, please download the PDF or feel free to contact us.*

• Other Software

Ice Miley has published a "Comparison Chaos Map of On-Premises AI vs. Cloud AI," which organizes advanced AI service forms in AI implementation, on September 16, 2025. The total number of listed products is 63. When considering the introduction of AI, many companies struggle with the choice of "whether to go with cloud-based or on-premises." Both options have their features, and it is important to choose the form that is suitable for the company's situation and objectives. *For more detailed information, you can view it through the related link. For more details, please download the PDF or feel free to contact us.*

• Other Software

The company Aismiley, which operates the AI portal media "AIsmiley," has released the "Marketing Support AI Service Chaos Map," which organizes trends in the use of AI in marketing operations, on July 23, 2025. The total number of listed products is 118. As 2025 is said to be the year of AI agents, the evolution of generative AI and the emergence of AI agents are rapidly expanding the use of AI in marketing practices. Support is now possible across the entire spectrum of marketing activities, not only limited to traditional data analysis and advertising optimization but also including content generation, customer engagement, campaign design, and demand forecasting. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.

• Other Software

Aismiley Co., Ltd., which operates the AI portal media "AIsmiley," has released the "Regional AI Implementation Case Chaos Map" on June 4, 2025, which allows for an overview of the trends in AI adoption accelerating across municipalities and companies nationwide by region. The number of AI implementation cases is a total of 71. We conducted a survey of actual AI implementation cases from Hokkaido to Kyushu and Okinawa at the prefectural level. This document, organized by implementation location, purpose of use, and AI category, is structured to allow for a quick understanding of the differences and trends in initiatives by region. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.

• Other Software