See where AI can make growth happen

Different industries and goals. One repeatable approach to growth. Choose the right first action, then make decisions, execution and review repeatable. Find the right first growth action. Decide, execute, review and repeat.

Explore Beauty RetailSee the Approach
First action Closer to
growth
Frequent High impact Testable
Start hereFind the first action that matters

Start with a frequent, testable action close to the outcome you want.

Key decisionWhat happens
next?
Ask Explain Hand over
ExperienceAction rules
Decision rulesTurn judgment into action rules

Define when to ask, how to explain and who takes over. Give AI clear next steps.

Save outcomes Evidence for
the next cycle
Reach Explain Reorder
Build recordsMake every action useful

Save signals from outreach, sales and reorders so each new action builds on the last.

Proven actions Build a
team Skill
Advisor Manager Partners Training
Share methodsGive teams a method that works

Package effective decisions, scripts, SOPs and training as Skills the team can reuse.

Beauty Retail / Personalized Skincare AI Partner Development · AI Growth · AI Customer Operations

Explain skincare. Build profiles and loyalty.

Help customers feel confident in every skincare decision. Connect skin reports, Skin ID profiles and reminders to build lasting relationships. Reports, profiles and timely reminders. Build trust and lasting relationships.

AI growth map

First visit: build a repeatable growth path

Growth action CNY 9.9 starter offer Visit / Assess / Profile
AI
Useful records Skin ID Report / Remind / Reorder
01Check
Test visits, completion and purchase intent
02Act
Standardize explanations and follow-ups
03Learn
Save profiles, reorder timing and upgrade signals
Outcomes
AcquireLow-cost visits
PurchaseClear reasons to buy
AssetsUseful customer records
Skincare station illustration
Beauty retail AI skincare station — existing project image
An easy first step 2–5 m² skincare station CNY 9.9 offer · Skin check · Skin ID
AI growth focus

Explain skin needs.
Earn first-purchase trust.

Turn skin findings into steps advisors can explain, customers can choose and the system can track.

Findings Skin needs Skin / Sleep / Season
Build trust Why this care? Advice / Evidence
AI assessment Report to action Explain → Suggest → Save
First purchase Which package? Lizi plan / Starter offer
Build records When to follow up Skin ID / Reorder cycle
01ExplainMake assessment findings easy to understand.
02SuggestMatch products and a starter offer.
03Save IDPlan timely reorders and follow-up.
AI skin report illustration
Beauty retail Skin ID assessment report — current Chinese interface
AI asset loop

One skin assessment. Lasting customer insight.

Use skin condition, products, feedback and reorder timing to guide the next follow-up.

Skin ID account A profile for ongoing care Assess → Plan → Feedback → Reorder
SkinProfile
PlanLizi products
NotesCare record
CycleReorder timing
01 Profile Save assessments and purchases
02 Remind Follow usage, seasons and needs
03 Upgrade Support reorders and membership
Outcomes Assets Reminders Reorder
Skin ID profile illustration
Customer lifetime asset Skin ID lifecycle records

Connect skin needs, product plans, feedback and timing in one trackable customer record.

Digital asset base Skin ID Track / Reorder / Learn
01Assess
02First order
03Feedback
04Trigger
05Reorder
Lifetime value
  1. First purchaseReport to starter offer
  2. Repeat purchaseUsage and season triggers
  3. MembershipOngoing care
  4. Brand insightProduct and feedback data
01 User Skin ID Customer status
02 Particle ID Product codes
03 Routine Code Plan paths
AI scale system

Build retention. Help partners grow.

Give partners a headquarters-managed model for acquisition, retention, content and training.

01 Retention Validate repeat demand Opt-in / 30–90-day reorders
02 Management Run key actions centrally Reminders / Approved posts / Dashboards
03 Replication Deliver a repeatable site model Follow-up / Contracts / Onboarding
RetentionOngoing customer care
Partner offerManaged customer entry point
Outcomes Reorder Manage Scale
Retention and partner dashboard illustration
AI managed growth system Retention and partner operations

Coordinate retention, content publishing, site dashboards and franchisee training to replicate the site model.

Central AI operations
StrategyCoordinate site actions
Approved postsCommunity campaigns
SOP checksService and training standards
ReviewCustomer and site dashboards
Retention journey
01Skin ID accountSave reports and profiles
02RemindUsage and seasonal follow-up
03MembershipUpgrades and retention
Partner journey
01InvestmentLow-staff site model
02HQ managementAligned products and content
03AI operationsTraining and revenue share
Opt-in rateReports and saved profiles
30/60/90-day reorderRepeat demand
PaybackPartner appeal
Site earningsReorders and campaigns
Intelligent Robotics / Smart Hardware AI Growth · AI Customer Operations · AI Team Training

Complex hardware. Clear customer value.

Explain the use case. Prove value in trials. Train channel partners. Help customers understand why the product matters now. Use cases, trial evidence and training. Show customers why it matters now.

AI SCENE VALUE MAP

Turn hardware features into
buying reasons

Find a clear buying reason, then connect specifications, scenarios and evidence in the sales conversation.

Features Navigation All-terrain use Intercom Detection
AI Translate Capabilities to
customer value
Sales value Less labor Fewer gaps Faster action Site image
01ChooseStart with a testable commercial-plaza use case
02ExplainConnect security, efficiency and image to customer needs
03TrialBuild trial evidence and train partners
Clear value Trial support Shared scripts
Patrol scenario image
Intelligent patrol robot at a commercial plaza — existing project image
S5 outdoor patrol robot AI-powered outdoor security Large-area navigation · All-terrain operation · Remote intercom
Voice announcements · Multi-event detection
AI trial report illustration
Use trial data to guide the purchase

Example 12-day trial: patrols, tasks, alerts and next steps.

4.89kmDaily distance
4.38hDaily patrol time
79Tasks done
71%Completion

Coverage

Entrance Main route Lift lobby Fire point Blind spot
79Tasks4.38hPatrol time

Alert analysis

Person76%
Smoke16%
Heat8%

Assessment

01DataDistance / Tasks / Alerts
02RiskBlind spots and response
03ProposalScope and budget
04Follow-upScripts and evidence
AI TRIAL REPORT

Let trial evidence guide the decision

Show site value, changing risks and deployment scope so customers can choose with confidence.

Decision brief The trial answers
buying questions
Is the site safer? Use coverage and alerts to explain changes in risk.
Is the budget justified? Show time saved and staffing limits.
Where to start? Recommend locations, coverage and a subscription.
Growth action Review the trial.
Make the next step clear.

Give sales a one-page brief on patrols, alerts, response and scope.

AI CHANNEL SKILL OS

Build partner skills with headquarters expertise

Help partners explain value, show trial evidence and discuss scope with confidence.

HQ methods Use cases / Evidence / Scope

Practice and lessons, with feedback and coaching

Partner 01 Use cases Plaza security
Partner 02 Reports Trial evidence
Partner 03 Objections Budget and scope
Partner 04 Follow-up Next steps
Training outputs Sales scripts Trial Report Scope Q&A
Partner capability illustration
Partner capability system Share presales expertise with partners

Package use-case value, trial evidence and deployment limits as a reusable partner playbook.

HQ playbooks Make complex features easy to explain
Use-case cards Trial templates Scope notes Objection guides
01 Learn Plazas / Parks / Campuses
02 Practice Value / Budget /
Trial
03 Submit Questions / Summary /
Next steps
Shared skillsOne value story
Shared evidenceReports support sales
Clear follow-upA repeatable next step
Customer follow-up illustration
Beauty and Aesthetics / Store Growth AI Partner Development · AI Growth · AI Customer Operations · AI Team Training

Make store growth actionable and repeatable.

Connect acquisition, consultations, reorders and training. Give advisors and managers clear daily actions they can execute and review. Connect outreach, sales and retention. Train teams to act, review and repeat.

AI LOCAL GROWTH PRESCRIPTION

Turn local interest
into store visits

AI Growth handles content strategy and approved publishing. AI Customer Operations turns inquiries, bookings and follow-up into daily store actions.

Local signals + Visit reasons + Follow-up Bookings
Today’s actions
Check Find likely visitors

Distance, needs and intent

Act Give a reason to visit

Content, offers and scripts

Learn Use bookings to guide topics

Channels, visits and sales

ContentReview first
LeadsSegment
ActionsReview
Local acquisition dashboard illustration
Local acquisition system AI local acquisition workflow

Turn exposure, customer needs and starter offers into reasons to book and follow up.

Channel signals
Video Needs / Local reach
Search Nearby / Packages
Community Questions / Concerns
AI assessment Reasons to visit Needs / Offers / Scripts
Today’s leads
Book a trialStarter offer + Visit time
Follow upQuestions + Concerns
ReviewChannel + Outcome
Publish after approval Ready to segment Ready to book Ready to review
Consultation conversion illustration
AI consult conversion system AI consultation conversion workflow

Turn questions, feedback and budget limits into clear advisor actions.

Concerns
Will it work?Show the issue and change
Will I be pressured?Offer an easy first step
Will it cost too much?Offer a staged plan
AI action sheet From concerns to actions
TellExplain the current needConcerns / Changes / Options
TryOffer a first experienceService / Timing / Limits
CarePlan ongoing careSchedule / Follow-up / Objections
Trust Ready to advance
Clarity86%
Trial intent72%
PriorityA
Clear advice Easy trials Practice objections Follow up
AI CONSULT MEASURES

Make consultations repeatable and trainable

Give advisors clear steps for preparation, explanations, trial handover and post-visit follow-up.

Four checkpoints A next step for every consultation
01UnderstandGoals / Budget / Motivation
02ExplainAssessment / Cases /
Change
03Offer a trialService / Timing /
Limits
04Follow upTiming / Scripts / Practice
BeforePrepare a briefSource / Needs / Opening
DuringExplain clearlyIssue / Options / Trial
AfterCreate tasksObjections / Next contact / Practice
Prepare well Stay within scope Follow up on time
AI RETENTION LEDGER

Turn post-visit signals into the next opportunity

Connect customer status, store actions and outcomes to support repeat purchases.

01 Signals Who needs attention?

Save feedback, usage cycles and inactivity risk.

02 Actions What happens next?

Create relevant follow-ups, care advice and offers.

03 Review What did we learn?

Record objections, reorder timing and team performance.

CustomersTrack status
StoresAssign actions
HeadquartersReview results
Follow-up task illustration
Retention operation system AI retention and reorder workflow

Turn customer records into today’s follow-ups, reminders and reactivation tasks.

Customer pool 312 Ready for follow-up
Trial only Reorder due 21 days inactive High-value potential
Today’s tasksRank by value and urgency
Follow upMembership queries12
RemindRunning low31
Re-engageContent + Invite18
AI assessmentWho first?
Store actionWhat to say?
HQ reviewWas it done?
Customer valueDid it grow?
AI METHOD REPLICATION

Turn proven methods into daily team practice

Turn consultation, membership conversion and review methods into practice plans and lessons, with assignment feedback and follow-up coaching in stores.

HQ playbooksLearn from sales and reviews
01Consult
02Convert
03Follow up
04Review
AI to Skill Lessons / Practice / Standards
Explain
Practice
Review
HeadquartersShared methods
New hiresFaster start
ManagerClear standards
Team training illustration
Team training cockpit AI team training workflow

Use experienced advisors’ methods, practice and lessons to create tasks staff can submit, review and practise again.

Team skillsIdentify gaps and priorities
Consult Trial conversion Reactivation Daily review Objections
Today’s trainingPlan and permissions apply
Role-playTrial to care plan18 tasks
ReviewReview actions and results6 sets
Daily scriptPriority customers and reminders3 prompts
InputConsultation logs
TrainingFeedback & practice
AssessManager review
RecordSkill library
Continuing Education / Knowledge Services AI Customer Operations · AI Team Training

Understand learner goals. Build a path to enrollment.

Understand motivations, explain course value and nurture interest. Give advisors reusable ways to ask questions, explain benefits and address concerns. Understand goals. Explain course value. Guide advisors from interest to action.

AI MOTIVE ROUTING

Understand motivation. Choose the next action. Understand motivation. Choose the next action.

Use learner goals to prioritize the next step: apply, explain, check eligibility or nurture.

Value fit Intent
High fit / intent Apply Form / Interview
High fit / Low intent Explain Cases / Alumni / Faculty
Low fit / High intent Check fit Industry / Stage / Files
Low fit / intent Nurture Content / Follow-up
01Assess intent
02Choose scripts
03Update stage
Learner motivation illustration
AI MOTIVE DIAGNOSIS Turn learner goals into next steps

Use questions and background to decide whether to explain value, share materials or advance the application.

Enquiry

QuestionDoes this fit me?Industry / Stage / Goals
ConcernWorth the cost?Budget / Time
InterestAlumni value?Network / Resources
AI
Decision
GoalsStageBarriers

Motivation

Practical skillsHigh
NetworkMid–high
CredentialMedium
Career changeMid–high
01MotivationWhy ask?
02BarriersWhat blocks?
03ValueWhy enroll?
04ActionWhat next?
AI VALUE PRIORITY

Lead with the value that matters

Use learner goals, concerns and decision stage to choose the most relevant value and next step.

Core value Practical skills Solve a
real need
01
Practical skillsModules / Mentors / Cases
02
NetworkAlumni / Visits / Network
03
CredentialsCurriculum / Credibility
AssessWhat fits the goal?
ExplainGive reasons to enroll
AdvanceMove to application
OutputValueObjectionsAction
Course value illustration
AI VALUE ANCHOR Connect resources to enrollment reasons

Use curriculum, faculty and alumni evidence to explain the outcomes learners care about.

Concerns

Worth the cost?Cost / Return
Can I commit?Time / Energy
Does it fit?Industry / Stage
Ready to apply?Files / Interview
Evidence Resources to reasons
01ModulesDigital / Equity / Management
02FacultyProfessors / Mentors / Cases
03AlumniNetwork / Visits / Connections
04ApplyChecklist / Interview / Next steps
Advisor output Why enroll now?

Match benefits, evidence and answers to the learner’s goals.

ValueObjectionsNext step
Clear fitRelevant modules
Credible valueUseful evidence
Clear answersCost and time
Next stepsApply with support
AI DECISION CONTROL

Plan the next
enrollment action

Combine intent, barriers and timing in a task brief that gives advisors a clear next action.

IntentHigh
BarriersMedium
UrgencyHigh
Next step Case to application

Interest is clear. Resolve cost and timing.

Trigger Silent: 3 days Case + Interview reminder
InputConversation
AssessBarrier
AssignAdvisor action
PrioritiesTriggersEvidence
Enrollment decision path illustration
AI DECISION ROUTE Give every follow-up a next step

Guide longer consultations with clear actions: explain, share a case, address concerns or start an application.

D1ExplainCourse / Eligibility
D3Share a casePeers / Alumni
D7Address concernsCost / Time / Award
APPLYApplyChecklist / Interview
AI next step What now? Status + Intent + Barrier
Inactive leadShare a case or timely reminder
EvidenceSignalsChats, clicks, inactive days
ActionAssignFiles, cases, applications
ReviewUpdateWhat moved the learner?
AI TEAM COACH

Build advisor skills through daily practice

Use consultation records to identify training priorities, arrange practice and lessons, and improve through assignment feedback and coaching.

AI coach Training Learn from feedback
Real questions From conversations
Practice tasks Plan the practice
Script prompts Use in live chats
Feedback Find strengths and gaps
Update Review, then update
Practice18 tasks
Criteria5 items
Versionv1.1
Enrollment capability illustration
AI SKILL REPLICATION Turn advisor expertise into team Skills

Package strong introductions, questions, value explanations and objection handling for ongoing practice.

Example

Ask about goals and career stage. Connect concerns to course value and the next step.

Effective conversation
Skill Compiler Extract key actions
Unclear goal → Ask Unclear value → Show a case Ready to apply → Interview
Results
Practice18
Criteria5
Relevance / Questions / Next step
Open
Ask
Explain
Objections
Close
Skill v1.0 → Review → Skill v1.1
LearnPracticeScoreImprove

Turn proven growth actions into your team’s plan

Find the right first step. Connect decisions, actions and review metrics
with reusable Skills in a practical AI growth plan. Decide, act and review with Skills. Build your practical AI growth plan.

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