Bello has provided intelligent recruitment applications and digital technology services to nearly 100 leading companies across various industries.
Focus on high-value business scenarios, implement business scenario "+intelligence" work. Optimize system process and IT quality, improve business value and returns.
Optimize recruitment system user experience, reduce unnecessary workload, build industry knowledge graph to solidify digital standard construction.
Optimize self-developed recruitment system user experience, break through data silos of various recruitment business systems, build unified parsing standard service, build unified talent pool basic data service.
Build a resume quick creation resume editing assistant product function, connect resume creation, resume template, online editing, intelligent layout, etc., to improve product commercial value and user experience.
Build a standardized data parsing module, strengthen resume data intelligence application, incubate internal recruitment platform, help SMEs better solve the problem of "difficult to hire, difficult to use people".
Focus on building a unified talent pool, implement business scenario intelligence application to truly use the talent pool, more resources, faster hiring.
Focus on talent pool, parsing, plugin application around business, optimize system process and IT quality, improve business efficiency, improve business value and returns.
Focus on building a standardized data parsing module for Chinese and English resumes, achieve standardized management of talent pool data, improve recruitment scenario data service capabilities.
Integrate "big data + AI technology + application" to serve the intelligent platform HR-X, build an agile componentized service architecture, strengthen intelligent applications such as search, recommendation, job-person matching, knowledge graph in internal systems.
Focus on digital human resource development, use job and talent portraits to implement stage-by-stage job-person matching (external recruitment) service, improve talent screening efficiency.
Build unified standard service, optimize job and talent digital foundation, introduce industry knowledge graph, serve talent pool basic data service.
Focus on the recruitment module application in the talent management module of Midea Group's iHR overall planning, focus on componentized application service basic support layer, build enterprise talent supply chain entry service, improve business value and returns.
Optimize existing self-built system user experience, based on unified parsing standard service, build unified talent pool basic data service, empower differentiated scenarios to reduce costs and increase efficiency, make the system "better to use".
Focus on HR pain points, build a standardized data parsing module, optimize the process experience of the internal recruitment system, improve resource utilization rate and reduce costs.
Improve resource (talent pool) accumulation and utilization efficiency, optimize existing self-built system user experience, empower differentiated scenarios to reduce costs and increase efficiency.
High-quality completion of recruitment management system delivery for client needs, solve key process nodes, and optimize nodes with poor user experience and high O&M cost.