Client cases

How we ran it matters more than the headline

The records below come from real delivery work. Client names and identifying context are removed; industry, scenario and method are kept. Every entry carries its scope note — we don't open with "a client cut costs 40%".

Overview

Three settings, three typical problems

CaseIndustryScenarioCore needEntry point
Case 1
Central-SOE coffee chain
Coffee chains Multi-city opening wave; staffing structure rebuilt Quantified evidence usable in a group-level review Assessment + cost model + pilot design
Case 2
Tea chain
Tea chains New-product and campaign days with multiplied traffic Cover the spike without carrying idle staff Talent-pool pre-reserve + peak dispatch
Case 3
Contract caterer
Contract catering Campus and corporate sites, three service peaks Health-certificate control, kitchen risk, no-documentation spend Certificate control + role-based insurance + compliant documentation

Delivery records from a single client project (2026), anonymised; not a general performance commitment.

Case 1 · coffee chain

During an opening wave, the staffing plan has to survive group-level scrutiny

Anonymised Central SOE Multi-city rollout Long decision chain

A central-SOE coffee chain: from staffing assessment to a scoped pilot

The client launched a coffee venture on the back of an established channel network, planning a multi-city store rollout within twelve to eighteen months. Store staffing is predominantly hourly, while store managers stay on full employment with social insurance. The project had to go through group-level review, so the workforce case had to be quantified and traceable.

What the client faced

  • Concentrated store openings amplifying peaks during the ramp-up
  • Inconsistent staffing standards and settlement practice across cities
  • Tax and employment-law risk that had to be framed before, not after
  • Internal options running in parallel, from building in-house to buying market services
  • A review pack that had to be quantified; concepts would not pass

What we did

  • Baseline assessment: role structure, hourly rate levels, peak curve, social-insurance policy
  • Cost model: labour cost, risk exposure and return at different flexible-staffing ratios, with every assumption stated
  • Risk list and compliance path: the five reseller conditions, full-basis vs differential documentation, evidence requirements
  • Pilot design: tier-2/3 city new stores, three-month cycle, success metrics and data definitions agreed first
  • System walkthrough: merchant, operations, worker and store ends plus the group back office

Where it landed

  • Pilot scope, cycle and success metrics confirmed by the client
  • Cost model and risk list carried into the client's group-level submission
  • The client's request for a differentiated documentation requirements entered our product and qualification review
  • An information checklist and system demo gave the internal review a common reference
3 monthsPilot cycle per store; metrics agreed up front
5Reseller conditions checked item by item
4 endsMerchant / operations / worker / store
1 packQuantified case ready for group review

Scope note: delivery record from a single client project (2026), anonymised; not a general performance commitment. Store counts, rollout plans and internal operating data are not published — only industry, scenario and method are retained.

Case 2 · tea chain

Promotion-day traffic is a pulse; staffing cannot be a constant

Anonymised Retail-district stores Promotion spikes

A tea chain: turning the promotion calendar into a manning calendar

Stores cluster in retail districts and office areas, where new-product launches and campaign days multiply daily traffic. Stores used to source casual labour themselves, with one or two days' notice — impossible at peak, and idle staff carried through quiet periods. Standards and settlement practice also varied store to store.

What the client faced

  • One or two days' hiring window before a promotion day
  • Individual sourcing spread service standards and safety responsibility
  • Pay and tax reporting for casual workers lacked consistent vouchers
  • Store managers squeezed between making drinks and managing people

What we did

  • Promotion calendars synced to the regional talent pool to pre-reserve available workers
  • Stores raise peak-and-trough demand; the system dispatches by location and rating
  • Insurance bound on the first day, with tiers configured per store type
  • Attendance and acceptance completed in store; approval and settlement centralised at HQ

Where it landed

  • Coverage added to demand on promotion days, with no fixed headcount in quiet periods
  • Hiring and settlement load shifted from store managers to HQ and the platform
  • The whole staffing process logged online, forming a complete evidence chain of substance
  • Monthly staffing cost detail reported store by store

Scope note: delivery record from a single client project (2026), anonymised; not a general performance commitment. Coverage timing depends on pool density, city and role type; actual scheduling follows the confirmed requirement.

Case 3 · contract catering

Health certificates are the gate, the kitchen is the risk, documentation are the chronic issue

Anonymised Campus / corporate catering Food safety

A contract caterer: putting compliance into the process, not into pre-inspection panic

The client serves corporate campuses and schools, with demand concentrated around three daily service peaks and additional seasonality around term starts and exams. Margins are thin, food-safety requirements are strict, and a large share of temporary labour has historically been booked without valid documentation.

What the client faced

  • Health-certificate validity checked by hand; expiries easily missed
  • Kitchen risks — heat, slips — without consistent cover
  • Short, frequent peak shifts generating heavy settlement work
  • No-documentation temporary spend complicating cost recognition and pre-tax deduction

What we did

  • Certificate upload, expiry reminders and automatic verification made a precondition for duty
  • Rosters configured around the three peaks, paid by the hour with hours logged online
  • Insurance tiers by kitchen role, with selectable cover levels
  • Settlement fully online, documentation issued on the substance of the work

Where it landed

  • Health-certificate status of every worker on duty is checkable and traceable
  • Settlement and voucher chain complete; the no-documentation gap closed
  • Seasonal demand can be planned and reserved in advance
  • On-site staffing management standardised, reducing person-to-person variance

Scope note: delivery record from a single client project (2026), anonymised; not a general performance commitment. Insurance configuration and cover levels follow the actual policy.

Reference model

What the cost model looks like for a mid-size chain

The table below is a model, not a client documentation. We publish it so you can substitute your own numbers.

Metric (CNY 800k monthly volume · 30 stores)BeforeAfter
Monthly input-cost creditapprox. CNY 4k (differential-basis documentation)approx. CNY 45k (full-basis documentation)
Coverage response time2–3 days4–24 hours
Dispute handlingHandled in-house by clientHandled independently by platform legal
Store-manager loadHiring + rostering + settlementOn-site acceptance only

Model: assumes a 15% all-in service rate with pay at roughly 85% of spend, extrapolated from 30 stores at CNY 800k monthly flexible-staffing volume; source: chapter 6 of the whitepaper. Actual results vary with structure, cities and role mix and are not a performance commitment.

Run it with your own numbers
How we present cases

Our disclosure rules, stated plainly

Anonymised beyond inference

More than swapping names: descriptors and scenario detail that could point back to the parent group are removed. Store counts, rollout plans and internal data are never published.

Verifiable detail kept

Industry, scenario, method and process stay intact — that is what lets you judge whether a case looks like yours, and what we are willing to be checked on.

Every figure carries scope

Each case ends with a scope note; models are separated from delivery records, assumptions are stated, and a model is never presented as a result.

No general promises

Coverage timing and tax outcomes depend on pool density, city, role mix and corporate structure. We give ranges and conditions, not guarantees.

Clients

Public client marks from the YRHR showcase

Marks below are taken from YRHR's public client showcase, all of them restaurant chains — the delivery base behind Zhenlinggong.

ChaPanda Big Pizza Zhongshan Group Newbere Lao Fei Mao Chuanjia Bao Chang'an Ji Mr. Savage

Client marks are taken from YRHR's public client showcase (www.yrhr.com); order is arbitrary. A public showcase mark does not imply a Zhenlinggong case authorisation.

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