The O2O service model of mini-programs
Overview of O2O Service Model in Mini Programs
The O2O (Online to Offline) service model connects offline services through online platforms, and mini programs, with their lightweight nature and strong social attributes, have become an ideal carrier for O2O. The features of WeChat mini programs—no need to download, use-and-go—combined with native capabilities like LBS, payment, and QR code scanning, have reshaped the user journey in traditional service industries. From food delivery to home maintenance, retail to education, mini programs are becoming the core link between consumers and physical services.
Core Capabilities of Mini Program O2O
1. Location-Based Services (LBS)
Obtain user coordinates via the wx.getLocation
interface and integrate with Tencent Maps for intelligent recommendations:
wx.getLocation({
type: 'gcj02',
success: (res) => {
this.setData({
latitude: res.latitude,
longitude: res.longitude
})
this.loadNearbyShops() // Load nearby merchants
}
})
2. Offline QR Code Entry
Mini program codes serve as key entry points for offline scenarios:
// QR code scanning and processing
wx.scanCode({
success: (res) => {
if(res.path.includes('shop/detail')) {
wx.navigateTo({ url: res.path })
}
}
})
3. Payment Loop
Native integration of WeChat Pay enables a closed-loop transaction:
wx.requestPayment({
timeStamp: '1629450000',
nonceStr: '5K8264ILTKCH16CQ2502SI8ZNMTM67VS',
package: 'prepay_id=wx201410272009395522657a690389285100',
signType: 'MD5',
paySign: 'C380BEC2BFD727A4B6845133519F3AD6',
success: (res) => { /* Payment success handling */ }
})
Implementation Solutions for Typical O2O Scenarios
Food Delivery Scenario
- Online Ordering System:
// Example shopping cart data structure
const cart = {
shopId: '123',
items: [
{ id: '001', name: 'Kung Pao Chicken', price: 38, count: 2 },
{ id: '002', name: 'Mapo Tofu', price: 28, count: 1 }
],
total: 104
}
- Reservation and Queueing Function:
// Get queue number
wx.cloud.callFunction({
name: 'queueSystem',
data: {
action: 'getQueueNumber',
shopId: '123',
peopleCount: 4
}
})
Retail Industry Solutions
- Real-Time Store Inventory Query:
// Query inventory of nearby stores
const query = db.collection('store_stock')
.where({
productId: 'p123',
storeId: db.command.in(['s1','s2','s3']),
stock: db.command.gt(0)
})
.orderBy('distance', 'asc')
.limit(3)
- In-Store Pickup Process:
<!-- Time picker component for pickup -->
<picker mode="time" start="09:00" end="21:00" bindchange="timeChange">
<view>Select pickup time: {{pickupTime}}</view>
</picker>
Key Points of Technical Architecture Design
1. Hybrid Deployment Strategy
graph TD
A[Mini Program Frontend] --> B[Cloud Development Database]
A --> C[Self-built Node.js Service]
C --> D[ERP System]
C --> E[Third-party APIs]
B --> F[Data Synchronization]
2. State Management Solution
// Using store to manage global state
const store = {
state: {
currentShop: null,
userLocation: null
},
setLocation(loc) {
this.state.userLocation = loc
wx.setStorageSync('lastLocation', loc)
}
}
Key Metrics for Data Operations
1. Conversion Funnel Analysis
// Example tracking
const funnelSteps = [
'page_view',
'add_to_cart',
'checkout_init',
'payment_success'
]
funnelSteps.forEach(step => {
wx.reportAnalytics(step, { timestamp: Date.now() })
})
2. User Behavior Heatmap
// Track page dwell time
let stayTimer
Page({
onShow() {
stayTimer = setInterval(() => {
wx.reportAnalytics('page_stay', {
page: 'shop_detail',
duration: 10 // seconds
})
}, 10000)
},
onHide() {
clearInterval(stayTimer)
}
})
Innovative Industry Case Studies
1. Beauty Service Booking System
// Staff scheduling algorithm
function generateTimeSlots(staff) {
const slots = []
const interval = 30 // minutes
const start = new Date(staff.startTime)
const end = new Date(staff.endTime)
while(start < end) {
slots.push({
time: start.toLocaleTimeString(),
available: staff.bookings
.every(b => b.time !== start.getTime())
})
start.setMinutes(start.getMinutes() + interval)
}
return slots
}
2. Community Group Buying Logic
// Group order state machine
const groupOrderStates = {
PENDING: { timeout: 24*3600, next: 'FAILED' },
PROCESSING: { timeout: null, next: 'COMPLETED' },
FAILED: { final: true },
COMPLETED: { final: true }
}
function checkOrderState(order) {
const stateConfig = groupOrderStates[order.state]
if(!stateConfig.final && order.createTime + stateConfig.timeout < Date.now()) {
updateOrderState(order.id, stateConfig.next)
}
}
Performance Optimization Practices
1. Subpackage Loading Strategy
// app.json configuration
{
"subpackages": [
{
"root": "o2oModule",
"pages": [
"shop/list",
"shop/detail",
"order/checkout"
]
}
]
}
2. Cache Management Mechanism
// Smart caching strategy
const CACHE_POLICY = {
'shop/list': { ttl: 300, key: 'loc=($latitude,$longitude)' },
'shop/detail': { ttl: 86400, key: 'id=($id)' }
}
function requestWithCache(url, params) {
const policy = CACHE_POLICY[url]
const cacheKey = policy.key.replace(/\((\w+)\)/g, (_,k) => params[k])
const cached = wx.getStorageSync(cacheKey)
if(cached && Date.now() - cached.timestamp < policy.ttl*1000) {
return Promise.resolve(cached.data)
}
return wx.request({ url, data: params }).then(res => {
wx.setStorageSync(cacheKey, { data: res.data, timestamp: Date.now() })
return res.data
})
}
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