Miuit Releases "Octty," an AI-Powered Recruitment Management System to Centralize Recruitment Data and Support Recruitment Improvement from Part-time to Full-time Employees
Miuit Co., Ltd. has launched "Octty," a recruitment management system for store-operating companies that centralizes recruitment data from part-time to full-time employees and supports recruitment improvement with AI. It aims to visualize recruitment activities for multi-store companies facing labor shortages and assist in data-driven decision-making.
📋 Article Processing Timeline
- 📰 Published: May 13, 2026 at 22:30
- 🔍 Collected: May 13, 2026 at 14:01
- 🤖 AI Analyzed: May 13, 2026 at 14:16 (14 min after Collected)
Miuit Co., Ltd. (Headquarters: Nagoya City, Aichi Prefecture; Representative Director: Kaito Yasui) will begin offering "Octty," a recruitment management system for store-operating companies that centralizes recruitment data from part-time to full-time employees.
Octty is a recruitment management system that consolidates applicant information and selection status, which are often dispersed across multiple channels such as job boards, recruitment agencies, and direct applications, to visualize the recruitment activities of store-operating companies. Based on accumulated recruitment data, AI supports understanding recruitment status, analyzing issues, and considering improvement actions.
In recruitment for multiple stores, multiple job types, and multiple employment types, the number of job openings tends to be large, and it is difficult for headquarters to accurately grasp the situation due to dispersed information on store-specific staffing levels, application status by media, selection progress, and post-offer document handling. Octty provides an environment where all recruitment data is centralized, allowing headquarters to grasp the situation of all stores in real-time, thereby supporting decision-making for recruitment measures that need to be taken now.
Service website: https://www.octty.com/
Background of the Release
Amidst ongoing labor shortages, companies operating stores need to recruit for multiple employment types simultaneously, including part-time, temporary, and full-time employees. However, in the field of recruitment activities, applicant information and selection status management tend to become complicated due to multiple application channels such as job boards, recruitment agencies, company career pages, and direct applications.
Especially for store-operating companies, recruitment job types, number of hires, selection personnel, and interview flows differ for each store. Therefore, it is difficult for headquarters to grasp "which stores are short on how many people," "which media are leading to results," and "which applicant responses are delayed," often leading to delays in improving recruitment measures.
Octty was developed to comprehensively support the complex operations faced by recruitment sites of store-operating companies through a simple screen design and data centralization.
What is Octty?
Octty is a recruitment management system that can centrally manage recruitment activity data for companies, from part-time to full-time recruitment. Applicant management, job posting management, selection status management, interview scheduling, agent management, and recruitment reports can all be handled on a single screen, allowing both headquarters and on-site staff to grasp the recruitment status of multiple stores and multiple job types.
Furthermore, based on accumulated recruitment data, AI supports organizing recruitment status, identifying issues, and considering improvement measures. Instead of entrusting hiring decisions to AI, it provides an environment where recruitment personnel can grasp the recruitment situation more quickly and accurately and consider the next steps.
Key Features of Octty
1. Centralized management of recruitment data from part-time to full-time employees
Octty allows centralized management of recruitment information regardless of employment type, from part-time to full-time recruitment. By consolidating applicant information and selection status, which tend to be dispersed by store, job type, and employment type, recruitment personnel can easily grasp the overall progress. Even for companies simultaneously recruiting for multiple stores and multiple job types, headquarters can oversee the entire situation while checking the recruitment status of each store.
2. Consolidates applications from multiple channels such as job boards, recruitment agencies, and direct applications
In recruitment activities, applications come from multiple channels such as job boards, recruitment agencies, company career pages, and direct applications. Octty consolidates such multi-channel application data, allowing centralized management of applicant information and selection status. By organizing application status by media, agency, and store, it becomes easier to understand the situation for each recruitment channel and consider improvements.
3. Visualizes recruitment status for multiple stores and multiple job types
Octty allows checking recruitment status by store, job type, and selection status, enabling both headquarters and on-site staff to proceed with recruitment activities based on the same information. It becomes easier to grasp which stores have insufficient applications, which job types have stalled selections, and which candidates require the next action, reducing missed responses and the effort of checking progress. It addresses the needs of multi-store companies, where "headquarters wants to grasp the overall picture" and "on-site staff want to smoothly handle immediate applicant responses."
4. AI chat enables graph generation and brainstorming for recruitment measures
Based on accumulated recruitment data, Octty allows for analysis of recruitment status, graph generation, and brainstorming of improvement measures via AI chat. Based on data such as application numbers, selection progress, recruitment channels, recruitment status by store/job type, and recruitment costs, AI supports organizing the situation and generating hypotheses for questions such as "Which stores have insufficient applications?", "What are the reasons for differences in results by media?", and "Which recruitment measures should be considered next?".
Additionally, it visualizes application status by media and store, and recruitment costs as graphs when necessary, allowing recruitment personnel to intuitively grasp the current situation.
Octty is a recruitment management system that consolidates applicant information and selection status, which are often dispersed across multiple channels such as job boards, recruitment agencies, and direct applications, to visualize the recruitment activities of store-operating companies. Based on accumulated recruitment data, AI supports understanding recruitment status, analyzing issues, and considering improvement actions.
In recruitment for multiple stores, multiple job types, and multiple employment types, the number of job openings tends to be large, and it is difficult for headquarters to accurately grasp the situation due to dispersed information on store-specific staffing levels, application status by media, selection progress, and post-offer document handling. Octty provides an environment where all recruitment data is centralized, allowing headquarters to grasp the situation of all stores in real-time, thereby supporting decision-making for recruitment measures that need to be taken now.
Service website: https://www.octty.com/
Background of the Release
Amidst ongoing labor shortages, companies operating stores need to recruit for multiple employment types simultaneously, including part-time, temporary, and full-time employees. However, in the field of recruitment activities, applicant information and selection status management tend to become complicated due to multiple application channels such as job boards, recruitment agencies, company career pages, and direct applications.
Especially for store-operating companies, recruitment job types, number of hires, selection personnel, and interview flows differ for each store. Therefore, it is difficult for headquarters to grasp "which stores are short on how many people," "which media are leading to results," and "which applicant responses are delayed," often leading to delays in improving recruitment measures.
Octty was developed to comprehensively support the complex operations faced by recruitment sites of store-operating companies through a simple screen design and data centralization.
What is Octty?
Octty is a recruitment management system that can centrally manage recruitment activity data for companies, from part-time to full-time recruitment. Applicant management, job posting management, selection status management, interview scheduling, agent management, and recruitment reports can all be handled on a single screen, allowing both headquarters and on-site staff to grasp the recruitment status of multiple stores and multiple job types.
Furthermore, based on accumulated recruitment data, AI supports organizing recruitment status, identifying issues, and considering improvement measures. Instead of entrusting hiring decisions to AI, it provides an environment where recruitment personnel can grasp the recruitment situation more quickly and accurately and consider the next steps.
Key Features of Octty
1. Centralized management of recruitment data from part-time to full-time employees
Octty allows centralized management of recruitment information regardless of employment type, from part-time to full-time recruitment. By consolidating applicant information and selection status, which tend to be dispersed by store, job type, and employment type, recruitment personnel can easily grasp the overall progress. Even for companies simultaneously recruiting for multiple stores and multiple job types, headquarters can oversee the entire situation while checking the recruitment status of each store.
2. Consolidates applications from multiple channels such as job boards, recruitment agencies, and direct applications
In recruitment activities, applications come from multiple channels such as job boards, recruitment agencies, company career pages, and direct applications. Octty consolidates such multi-channel application data, allowing centralized management of applicant information and selection status. By organizing application status by media, agency, and store, it becomes easier to understand the situation for each recruitment channel and consider improvements.
3. Visualizes recruitment status for multiple stores and multiple job types
Octty allows checking recruitment status by store, job type, and selection status, enabling both headquarters and on-site staff to proceed with recruitment activities based on the same information. It becomes easier to grasp which stores have insufficient applications, which job types have stalled selections, and which candidates require the next action, reducing missed responses and the effort of checking progress. It addresses the needs of multi-store companies, where "headquarters wants to grasp the overall picture" and "on-site staff want to smoothly handle immediate applicant responses."
4. AI chat enables graph generation and brainstorming for recruitment measures
Based on accumulated recruitment data, Octty allows for analysis of recruitment status, graph generation, and brainstorming of improvement measures via AI chat. Based on data such as application numbers, selection progress, recruitment channels, recruitment status by store/job type, and recruitment costs, AI supports organizing the situation and generating hypotheses for questions such as "Which stores have insufficient applications?", "What are the reasons for differences in results by media?", and "Which recruitment measures should be considered next?".
Additionally, it visualizes application status by media and store, and recruitment costs as graphs when necessary, allowing recruitment personnel to intuitively grasp the current situation.