Helpfeel Product Lineup

We would like to introduce a case where our company’s "Helpfeel" was implemented by Bears Co., Ltd., which offers housework agency services. The company faced a high workload for their support staff in responding to inquiries from employees. Although they tried incorporating a human chat feature, there were complaints about slow response times. After the implementation, the number of cases that could be self-resolved increased, and the abandonment rate of calls, where the call was disconnected, decreased to an average of 1% per month. This created additional capacity for the call center in the Kanto region, allowing them to handle inquiries from the Kansai region, significantly improving operational efficiency. **Key Factors for Implementation** - "Intent Prediction Search" feature - Even if the input words are ambiguous, it provides answers to questions. *For more details, please download the PDF or feel free to contact us.*

• Other information systems

We would like to introduce a case where our "Helpfeel" was implemented by Lush Japan LLC, a natural cosmetics brand. The company experienced a doubling of inquiries from stores following the launch of a new cash register system, which posed a challenge in terms of resource allocation for responses. After implementation, the no-hit rate for searches decreased, and the percentage of staff able to resolve issues independently increased. The number of inquiries related to the cash register, which was approximately 200 per month, has reduced to about 80, contributing to a decrease in inquiries from store staff. [Implementation Effects] - The no-hit rate, which initially had a target of 10%, has now decreased to 8%, increasing the percentage of self-resolution. - The number of inquiries, which was about 200 per month, has decreased to around 80. - It is resilient to variations in terminology and easier to hit in searches. - Utilizing tablets and other devices has lowered the barriers to searching. *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case where Kirin Brewery Company, which is engaged in the manufacturing, operation, and sale of alcoholic beverages, has implemented our "Helpfeel." Due to the diversification of work styles and the advancement of personnel systems, the content of internal inquiries at the company has become more varied, leading to an increased burden on responses. After the implementation, there were 20,000 searches conducted monthly, enabling support at a scale approximately 80 times larger. As a result, the human-operated inquiry desk was closed, successfully reducing the number of inquiries by about 90%. 【Implementation Effects】 ■ Search Usage: 20,000 times per month ■ Human Response to Inquiries: Reduced by about 90% ■ Transition from Inquiry Handling to Digital Utilization for Business Improvement *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case where Fujimac Co., Ltd., a manufacturer of machinery, metal, and equipment, has implemented our "Helpfeel." At the company, calls from engineers at 70 locations nationwide were concentrated on specific personnel, leading to a reliance on individuals. Additionally, the product manuals were extensive PDFs spanning hundreds of pages, making it a significant burden to find the necessary information on-site. After implementation, engineers developed a habit of self-resolution. They could quickly respond to past questions with article links, resulting in an estimated 80% reduction in the workload for those handling inquiries. The thick manuals also became searchable, allowing for immediate responses to unexpected troubles. [Key Factors for Implementation] - Predictive search to replicate the craftsmanship of the responsible personnel - Support for establishing habits through collaborative assistance *For more details, please download the PDF or feel free to contact us.*

• Other information systems

We would like to introduce a case where Noritz Corporation, a manufacturer of residential equipment, implemented our "Helpfeel." The company faced the challenge of promoting self-resolution, as inquiries typically doubled during the busy winter season. After implementation, the article reach rate achieved the target of 80%, and the number of inquiries from the web was reduced by 30%. By providing a pathway to the repair acceptance section within the FAQ, the web-based repair acceptance rate improved by 7 percentage points compared to the previous year. 【Key Factors for Implementation】 ■ High searchability and user-friendly management interface ■ Abundant analytical features ■ Flexible response to variations in terminology *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case where Shiroka Corporation, a small home appliance manufacturer, implemented our "Helpfeel." As the company experienced growth in sales and brand recognition, there was an increase in inquiries via phone, putting a strain on their support resources. They had established an FAQ site, but it was not leading to self-resolution by customers. After implementation, customers were able to search for keywords in their own words when questions arose, allowing them to quickly find answers, which met their needs and resulted in a reduction in phone inquiries. [Key Factors for Implementation] - Aimed at promoting self-resolution and improving the FAQ - Extensive support from customer success - A very smooth transition with minimal involvement required *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case where LIXIL Corporation, a manufacturer of building materials and housing equipment, implemented our "Helpfeel." At that time, the company faced the challenge of low searchability in their existing FAQ system, which prevented customers from reaching the information they needed. The high searchability and the ability to accurately narrow down desired information were key factors in the decision to implement our system. As a result, within just over a year after implementation, the bounce rate of articles improved, and the number of phone inquiries decreased, demonstrating effectiveness. 【Reasons for Implementation】 ■ Customers could not find the information they wanted even after searching the FAQ ■ Complex inquiries placed a disproportionate burden on specific personnel ■ They wanted to prioritize customer searchability and convenience *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case where Fujimak Co., Ltd., a comprehensive manufacturer of commercial kitchen equipment, has implemented our "Helpfeel." The company has faced a long-standing issue of "dependency," where inquiries from on-site engineers concentrated on specific detailed members, overwhelming the regular duties of the responsible personnel. Within a year of implementation, the access count increased fivefold from the initial number, and engineers have developed the habit of self-solving problems. Since past questions can be answered immediately with article links, the workload for those receiving inquiries has been reduced by approximately 80% based on experience. [Key Factors for Implementation] - Predictive search to replicate the craftsmanship of the responsible personnel - Support in a collaborative manner aimed at establishing the system *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case where Kyoto Electronics Manufacturing Co., Ltd., a specialized manufacturer of analytical and measurement equipment, has implemented our "Helpfeel." At the company, technical inquiries have concentrated in the development department, leading to an approximately 30% increase in the number of inquiries over a few years. The more experienced employees with abundant knowledge have been overwhelmed with responses, significantly disrupting their primary development tasks. After the implementation, data from the past 10 years has been revitalized as practical FAQs, which not only aids customers in self-resolution but is also expected to serve as a response support tool. 【Reasons for Implementation】 ■ Intent prediction search with no risk of generating false information ■ Analytical support system that leverages past data ■ Comprehensive support system and high cost-effectiveness *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case where Kirin Brewery Company, Limited implemented our self-service AI system "Helpfeel." The company was handling inquiries through human email support, but as the diversity of employment types and systems increased, the difficulty of questions rose. This led to a significant increase in the psychological burden on staff and the workload, reaching the limits of human response. After implementation, there was a steady usage of 20,000 searches per month. They successfully closed the human support desk and reduced the number of inquiries by about 90%. [Challenges Before Implementation] ■ Increased workload in responding to diverse inquiries ■ Limitations of the field due to reliance on specific individuals ■ Concentration of 240 inquiries per month leading to a significant psychological burden on staff *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case study of the implementation of our "Helpfeel" at Daiichi Sankyo Healthcare Direct Co., Ltd., which operates a mail-order business. The company has been operating multiple contact centers and has felt challenges with "knowledge sharing," resulting in delays and inconsistencies in the timing of information dissemination. After implementation, they were able to eliminate over 100 unnecessary pages while maintaining the quality of each FAQ page, and they have also appreciated the robust support for customer success. [Case Overview] ■ Challenge: Issues with "knowledge sharing" while operating multiple locations ■ Implementation: Introduced based on the smart management interface and speed of search ■ Effect: The team is seriously committed to solving challenges *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case where our self-service AI system "Helpfeel" was implemented by Newton Co., Ltd., which operates karaoke stores. The company had a significant challenge in standardizing the quality of responses, as they had set up telephone support at each store and their unique FAQ was not functioning effectively, leading to a lack of unified answers to inquiries across the company. After the implementation, the number of inquiries that required human response was reduced by approximately 60%. This allowed them to consolidate customer support at the head office and significantly reduce the number of staff. [Case Overview] ■ Challenge: Inquiries and FAQ creation were handled at each store and were not standardized. ■ Implementation: They decided to implement it after being impressed by the exciting usability. ■ Effect: Within just one month of implementation, the number of inquiries was reduced by approximately 60%. *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case where our self-service AI system "Helpfeel" was implemented at Iyo Bank, Ltd. At that time, the company faced challenges with the search performance of their existing FAQ system and chatbot, and the maintenance burden of creating, modifying, and analyzing approximately 800 FAQ pages was becoming significant. After the implementation, the burden of maintaining the FAQ site was greatly reduced thanks to the extensive support from customer success. [Case Overview] ■ Challenge: Issues with the search performance of the system in use, and maintenance of pages was burdensome ■ Implementation: Smooth transition from the traditional FAQ system in about one month ■ Effect: Successfully reduced monthly working hours by 15 hours with the support of customer success *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case study regarding the implementation of our "Helpfeel" by Raksul Inc., a company that operates a platform for online printing and customer acquisition support. Although the company had published approximately 700 FAQ pages, they faced a challenge with a high no-hit rate of about 40%, which meant they were unable to guide customers to the appropriate pages effectively, resulting in a significant burden on their customer support department. After the implementation, they succeeded in greatly enhancing the customer experience due to the speed of responses when entering search keywords and the comprehensive support provided. 【Case Overview】 ■ Challenge: Despite refreshing the FAQ pages, the reduction in inquiries plateaued. ■ Implementation: The decision to implement was based on their extensive track record and strong support. ■ Effect: A 50% improvement in search hit rate within one week of implementation. *For more details, please download the PDF or feel free to contact us.

• Other information systems

We would like to introduce a case study of the implementation of the self-solving AI system "Helpfeel" at Lawson Entertainment, a comprehensive entertainment company. The company’s customer service department was overwhelmed with approximately 500,000 inquiries annually, leading to a situation where on-site staff were physically and mentally exhausted. After the implementation, the simplicity of the intuitive operation and the speed of response were highly evaluated, resulting in a reduction of about 9,000 inquiries per month and improvements in service. 【Case Overview】 ■ Challenge: Exhaustion of on-site staff due to the influx of 500,000 inquiries annually and the limitations of existing FAQs ■ Implementation: The intuitive and simple operation screen and fast response were key factors ■ Effect: Achieved a reduction of approximately 9,000 inquiries per month and a shift towards service improvement *For more details, please download the PDF or feel free to contact us.

• Other information systems

This document is the service material for "Helpfeel," which addresses the urgent need for inquiry response and the lack of knowledge management. It explains the features of the system that delivers necessary knowledge instantly through AI and unique improvement methods, resolving various questions from customers and within the company. We also introduce diverse functions and success stories that support self-resolution, so please take a moment to read it. 【Contents (partial)】 ■ Do you have these challenges? ■ Benefits of implementing Helpfeel ■ Reasons why Helpfeel is chosen ■ Choose a search style according to the format of knowledge and usage scenarios ■ As a search-type AI FAQ system: overwhelming search performance ■ As a conversational AI agent: cross-searching files and the web using RAG technology *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a resource for utilizing "Helpfeel" in call centers to organize knowledge with AI and achieve autopilot functionality. It introduces methods to solve issues such as high call volume, high subjectivity, and deficiencies in manuals, aiming to improve customer experience (CX) and enhance internal operational efficiency. We also include case studies for both operator and customer applications, so please take a moment to read through it. 【Contents (partial)】 ■ Do you have these issues? ■ What is Helpfeel? ■ Basic features of Helpfeel ■ The necessity of call center automation and transition steps ■ Case studies for operator and customer applications ■ Companies that have implemented Helpfeel (partial list) *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document explains five challenges in creating manuals that are read and solutions utilizing AI to address them. It identifies the main challenges behind the ineffective use of user manuals and presents practical approaches to tackle these issues. We introduce the challenges and solutions for improving manuals to make them easier to search, so please take a moment to read it. [Contents] ■ Introduction ■ Why Manuals Are Not Read ■ Five Challenges and Solutions for Improving Manuals to Make Them Easier to Search ■ "Helpfeel Agent Mode" that Contributes to "Reducing Support Costs" and "Improving Operational Efficiency" *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a research report summarizing how to break away from the "stagnation of skill inheritance" in the manufacturing industry. It provides a detailed explanation of the reasons for the stagnation of skill inheritance and knowledge sharing, as well as the risks of neglecting this stagnation. Practical steps for visualizing and standardizing technology through systems are also introduced, so please take a moment to read it. [Contents (partial)] ■ Over 90% sense a crisis in skill inheritance, yet progress remains stalled ■ Why is skill inheritance and knowledge sharing stagnating? ■ Risks of neglecting the stagnation of skill inheritance ■ What systems are needed: Digital "visualization and standardization of technology" ■ Practical examples of systems *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document explains how to create a "self-resolution experience" using the self-resolution AI system "Helpfeel." It introduces reasons why users do not search using the terms companies expect and the perspectives necessary to promote self-resolution. It also includes the benefits gained from an increase in self-resolution, so please take a moment to read it. 【Contents (partial)】 ■ Common issues in support for major manufacturing companies ■ Users do not search using the terms companies expect ■ Even if information is provided, inquiries will not decrease if it cannot be found ■ Misalignment in expression can lead to increased burden on support departments ■ "Self-resolution" seen through data: Users desire self-resolution ■ Four perspectives necessary to promote self-resolution *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is the solution guide for "Helpfeel," which realizes AI transformation in customer support and internal operations. It explains the quality and structure of knowledge that determines the success or failure of AI utilization, and introduces interactive AI agents and search-based FAQ systems. It also includes case studies and a roadmap for automation, so please take a moment to read it. 【Contents (partial)】 ■ Do you have these concerns? ■ Can that concern be resolved by simply "implementing AI"? ■ The success or failure of AI utilization is determined by the "quality" and "structure" of knowledge. ■ Three conditions for making knowledge easily understandable by AI. ■ Knowledge becomes an "asset" that accelerates business. ■ "Analysis" is essential to continue functioning knowledge as an asset. *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis