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职界索 ZJ.SUO · Cases

Workflows grown from real business scenarios

The following are workflow and estimation examples — not published client results or real placements.

01
Case 1 · Macau

Hotel & F&B staffing: 100% resume digitalisation

Resumes were scattered across Excel, WhatsApp, WeChat, email and paper — impossible to reuse.

Macau agency · sourcing to placement

In-house practice
Resume channelsExcel / WhatsApp / WeChat / email / paper
Time to parse one resume~20 min → seconds (estimate)
Profile retrievalFile-digging → one-second search

Effects are estimates based on typical workflows.

02
Case 2 · Hong Kong

ESLS scenario: faster matching

Bulk hiring for construction and elderly-care roles; manual screening is slow and match rationale untraceable.

HK agency · bulk matching

Scenario
Person-job matchinghours → minutes (estimate)
Match accuracy90%+ (estimate)
Recommendation success+40% or more (estimate)

Effects are estimates based on typical workflows.

03
Case 3 · Zhuhai

Cross-border sourcing: batch processing

A large legacy resume archive that manual cleanup could never cover.

Zhuhai team · batch scanning

Cross-border
Resume data1,000,000+ (batch-processed)
Consultant screening+70% or more (estimate)

Effects are estimates based on typical workflows.

04
Case 4 · HK & Macau

Headhunting agency (HK & Macau): digitalised job pipelines

Many clients, scattered roles, commission runs on a notebook — managing leads starts with a pipeline.

HK & Macau headhunting · pipeline delivery

Scenario
Client & job pipelinewhiteboard/sheets → one pipeline board (estimate)
Candidate pool & AI recommendationsAI-assisted shortlists, explainable reasons (assistive)
Commission & invoicing recordsitemised history, exportable monthly (estimate)

Effects are estimates based on typical workflows.

05
FAQ

About these examples

Are these real client cases?

No. This page shows workflow and estimation examples to illustrate how the system works in typical scenarios — not published client results or real placements.

Our agency has a similar scenario — how do we evaluate fit?

Book a 30-minute demo; the consultant walks your resume sources, role types and collaboration model, then assesses onboarding and migration.

How is data security handled?

Resume assets belong to the agency: encrypted storage, role-based access, not shared with third parties without authorization; private deployment is available for strict data boundaries.

Why are all the effect figures estimates?

Because this page illustrates how the system works in typical business scenarios — not published client results or real placements. All effect figures are illustrative estimates based on typical business scenarios; actual results should be verified against the agency's own data.

Can the four scenarios run on the same system?

Yes. The four scenarios — Macau agency, HK labour scheme, cross-border labour export and headhunting — share the same four modules and deployment options; the difference lies in document templates, fields and workflow configuration. Book a demo to see the workflow for your scenario.