MoSeeker ATS
MoSeeker ATS is an AI-integrated single-platform hub for managing the entire recruitment process and business chain.
What this page covers
- Overview of MoSeeker ATS as a centralized AI-powered recruitment hub.
- Quantified recruitment efficiency improvements achievable with MoSeeker ATS.
- Full lifecycle coverage and key advantages of the MoSeeker ATS platform.
- Intelligent talent pool structure and capabilities within MoSeeker ATS.
- AI-powered features including JD drafting, talent matching, recommendations, and interview scheduling.
- Customer stories demonstrating MoSeeker ATS implementations in different organizations.
- Contact options for organizations interested in MoSeeker ATS.
MoSeeker ATS – Centralized hub for recruitment process control
MoSeeker ATS is introduced as an AI-integrated centralized platform that unifies and refines management of the entire recruitment process and business chain.
- The system serves as a centralized hub for recruitment activities and processes.
- AI capabilities are integrated into MoSeeker ATS to enhance recruitment workflows.
- Unified management supports consistent recruiting activities across the organization.
- Refined management of the recruitment business chain is a core positioning of MoSeeker ATS.
Efficiency improvement metrics
The page presents quantified efficiency gains with MoSeeker ATS, covering overall recruitment efficiency, digitization of processes, and reduced resume screening time.
- MoSeeker ATS is claimed to improve overall recruitment efficiency by a factor of five.
- It is stated that 95% of traditional offline recruitment processes can be moved online.
- Resume screening time is claimed to be reducible by 50% using the system.
- These metrics are presented as representative outcomes from using MoSeeker ATS.
Contact Sales call-to-action
A call-to-action invites users to reach out to MoSeeker sales through a provided online form link to discuss the ATS product.
- The page includes a sales contact option for MoSeeker ATS.
- Users are directed to an external form URL to submit sales inquiries.
- The call-to-action focuses on organizations interested in adopting the system.
Comprehensive coverage of the hiring journey
MoSeeker ATS is described as covering the entire recruitment lifecycle, from initial requisition through onboarding and analytics, while applying AI-driven automation at each stage.
- The lifecycle includes recruitment demand management and job posting stages.
- Candidate management, talent matching, and interview screening are handled within the system.
- Offer issuance, onboarding, and data analysis are part of the covered journey.
- AI-powered automation is highlighted across multiple lifecycle stages.
Key Advantages of MoSeeker ATS
The system’s key advantages include full lifecycle management, data-driven insights, multi-channel aggregation, enhanced compliance, cross-team collaboration, and flexible third-party integration.
- Full lifecycle management is supported via customizable document templates and standardized resume parsing.
- Multi-dimensional recruitment data and reports enable data-driven insight and process optimization.
- External recruitment channels are aggregated, centralizing candidate information and job posting distribution.
- Compliance features help align recruitment data handling with regulatory requirements and reduce legal risks.
- The platform supports cross-team collaboration and flexible integration with systems like HCM and job boards.
Intelligent talent pool overview
MoSeeker ATS incorporates an intelligent talent pool that centralizes candidate data as a high-quality source for search, analytics, and long-term pipeline management.
- Candidate information is centrally stored as a unified talent data source.
- The pool supports searching, screening, activation, and updating of candidate profiles.
- Maintaining candidate relationships is a core purpose of the talent pool.
- Large-scale intelligent and manual tagging enables detailed candidate profiling.
Intelligent talent pool capabilities
The talent pool offers customization, bulk operations, precise screening, and multi-channel engagement features to support candidate relationship management.
- Clients can customize pool types, permissions, and structures, including public and departmental pools.
- Bulk candidate actions such as activation, deletion, notifications, and resume downloads are supported.
- Screening ranges from keyword search to advanced filtering by positions, preferences, and fit.
- Re-engagement is possible through channels like WeChat, SMS, email, referrals, and direct chat.
AI-Powered efficiency features
MoSeeker ATS introduces AI-powered features including automated job description drafting, talent-job matching, personalized job recommendations, and smart interview scheduling to enhance recruitment efficiency.
- Automated JD drafting uses AI to generate initial job descriptions from limited input.
- Talent-job matching compares resumes with job requirements to assess fit.
- Personalized job recommendations aim to activate talent pools and improve application rates.
- Smart interview scheduling automates calendar comparison and notification tasks.
Automated JD Drafting
The automated JD drafting feature uses domain-specific large language models to generate initial job description drafts from supplied information, with support for template customization.
- A job title and key information can be used to create a JD draft with one click.
- Domain-specific large language models underpin the JD generation process.
- Users can customize templates and adjust generated JD content.
Talent-Job Matching
The talent-job matching capability parses resumes, compares them to job requirements from multiple perspectives, surfaces match assessments, and routes non-fit candidates into the talent pool.
- Candidate resumes are automatically parsed for structured comparison with job criteria.
- Matching results highlight summarized strengths and weaknesses of each candidate.
- Visual presentation is used to display talent-job match scores or assessments.
- Candidates who are not a fit for current roles are added to the talent pool.
Personalized Job Recommendations
Personalized job recommendation features use candidate preferences, skill tags, and experience to send targeted opportunities that activate the talent pool and aim to improve application and hiring rates.
- Candidate preferences and skill tags inform recommended job opportunities.
- Experience data is factored into the recommendation logic.
- Recommendations are delivered intelligently and periodically to candidates.
- The feature aims to raise application and hiring rates while reducing irrelevant outreach.
Smart Interview Scheduling
Smart interview scheduling compares candidate and interviewer calendars to find optimal time slots, tracks interview statuses in real time, and relies on message queue technology for timely notifications.
- The system identifies interview times by comparing relevant calendars.
- Interview status updates are available in real time within the platform.
- Message queue technology is used to send accurate interview notifications.
Customer Stories
Customer stories for Novartis China, PVM, and Shanghai Metro illustrate how MoSeeker ATS supports localized integration, ecosystem alignment, centralized portals, and coordinated recruitment management.
- Novartis China’s ATS was built on MoSeeker ATS and integrated with its global system.
- The Novartis implementation adapts to local market, ecosystem, and user preferences.
- PVM uses a localized recruitment management system deeply integrated with its platform.
- Shanghai Metro leverages a unified external recruitment portal for centralized oversight.
Facts Index
| Entity | Attribute | Value | Confidence |
|---|---|---|---|
| MoSeeker ATS | primary function | Serves as a centralized hub platform integrating AI capabilities to manage the entire recruitment process and business chain with unified recruiting activities and refined management. | high |
| MoSeeker ATS | overall recruitment efficiency improvement | Recruitment efficiency can be improved 5 times when using MoSeeker ATS. | medium |
| MoSeeker ATS | ratio of offline processes moved online | 95% of traditional offline recruitment processes can be moved online with MoSeeker ATS. | medium |
| MoSeeker ATS | resume screening time reduction | Resume screening time can be reduced by 50% using MoSeeker ATS. | medium |
| MoSeeker ATS | sales contact form URL | https://pjz9ai924o.feishu.cn/share/base/form/shrcnxFJ3WuXV7yp5e5xEsA5UIc | high |
| MoSeeker ATS | recruitment lifecycle coverage | Covers the full recruitment lifecycle from recruitment demand management, job posting, candidate management, talent matching, interview screening, offer and onboarding, to data analysis. | high |
| MoSeeker ATS | full lifecycle management details | Enables precise management of the recruitment lifecycle using customizable document templates such as resumes, rejection letters, and offers, and parses resumes into standardized searchable formats. | high |
| MoSeeker ATS | data-driven insights | Provides multi-dimensional recruitment data and reports for evaluating recruitment effectiveness, identifying strengths and weaknesses, optimizing processes, and supporting decision-making. | high |
| MoSeeker ATS | multi-channel aggregation | Aggregates external recruitment channels for centralized candidate information, allowing job posting creation and editing and quick distribution to job boards with automatic real-time resume import and update. | high |
| MoSeeker ATS | compliance support | Ensures recruitment data collection and transmission comply with regulatory requirements to protect personal information and safeguard overall recruitment process compliance, reducing legal risks. | high |
| MoSeeker ATS | cross-team collaboration | Supports seamless teamwork across different teams, streamlines communication, and integrates various headhunting channels into a single system to facilitate collaboration between headhunters and HR and expand recruitment reach. | high |
| MoSeeker ATS | flexible integration | Integrates with third-party systems such as HCM, assessment systems, e-signature, and job boards, with modular expansion allowing companies to flexibly add or remove functionalities. | high |
| MoSeeker ATS | built-in talent pool | Includes an intelligent talent pool for centralized management and storage of candidate information as a unified high-quality talent data source to search, screen, activate, update, and maintain candidate relationships. | high |
| MoSeeker ATS talent pool | tagging scale | Supports over 2,000 intelligent tags and over 4,000 manual tags for candidate profiling across dimensions such as education background, work experience, and stability. | medium |
| MoSeeker ATS talent pool | customization | Allows clients to customize talent pool types, viewing permissions, and multi-layered structures, with separate management of public and departmental pools and assignable access rights to recruitment participants. | high |
| MoSeeker ATS talent pool | bulk actions | Supports bulk operations on candidates such as activation, deletion, notifications, and resume downloads, along with global search capabilities. | high |
| MoSeeker ATS talent pool | precise screening | Provides screening from basic keyword search to advanced multi-criteria filtering across dimensions like previous positions, job preferences, and job-candidate fit. | high |
| MoSeeker ATS talent pool | multi-channel engagement | Enables re-engagement of inactive talent pool candidates via WeChat, SMS, email, internal referrals, and instant messaging (direct chat). | high |
| MoSeeker ATS | automated JD drafting | Generates an initial job description draft from a provided job title and key information at the click of a button using domain-specific large language models, supporting personalized template customization and content adjustments. | high |
| MoSeeker ATS | talent-job matching | Automatically parses candidate resumes and compares them with job requirements from multiple perspectives, presenting match results visually with summarized strengths and weaknesses and routing non-fit candidates into the talent pool. | high |
| MoSeeker ATS | personalized job recommendations | Uses candidate preferences, skill tags, and experience data to deliver intelligent, periodic, personalized job recommendations aimed at activating candidate interest and increasing application and hiring rates while reducing irrelevant outreach. | high |
| MoSeeker ATS | smart interview scheduling | Compares candidate and interviewer calendars to find optimal interview times, tracks interview status in real time, and uses message queue technology to send timely and accurate interview notifications. | high |
| MoSeeker and Novartis China | project description | Built the Novartis China ATS using MoSeeker ATS, integrating it with the Novartis global system while adapting to the local market, ecosystem, and user preferences to enable efficient data management, information protection, and candidate experience. | high |
| MoSeeker and PVM | project description | Developed a localized recruitment management system for PVM based on MoSeeker ATS, achieving deep integration with PVM's platform, connecting major domestic recruitment channels, and consolidating offer and onboarding processes. | high |
| MoSeeker and Shanghai Metro | project description | Established a unified, exclusive external recruitment portal for Shanghai Metro powered by MoSeeker ATS, creating a digital hub that allows headquarters to allocate resources flexibly, monitor recruitment progress across subsidiaries, and manage processes centrally. | high |