Multi-language Mall Order Brushing System / Overseas Order Snatching / Credit Score / Injection Task – System Features and Setup Guide

This time I helped a client deploy a multi-language mall order brushing system, supporting overseas order grabbing, credit score evaluation, injection tasks, overlay groups, and interest treasure functions. This system is mainly used for cross-border e-commerce order volume improvement and store weight optimization. The tech stack is frontend-backend separated with VUE frontend and stable backend API. Here is the complete setup process documented.

1. Core System Features

This multi-language mall order brushing system is specifically designed for cross-border e-commerce sellers as an order management tool, supporting multiple task types and intelligent scheduling. Main functional modules include:

  1. Multi-language Mall Support: System frontend supports multiple language switching, suitable for e-commerce platforms in different countries
  2. Order Brushing Functions: Supports overseas order grabbing mode, intelligently assigns brushing tasks to improve store order volume
  3. Credit Score Evaluation System: Establishes credit score for each account, assigns task priority based on credit rating
  4. Injection Task System: Supports specific cart-add tasks for quickly improving product conversion rate
  5. Overlay Group Management: Supports multi-task overlay execution, completing multiple platform synchronization in one operation
  6. Interest Treasure Function: Like a Yu Bao (money market fund) income system, increases user stickiness and capital retention

2. Pre-Setup Preparation

Deploying this system requires attention to these configurations:

  • Server Specs: Recommended 2-core 4GB plus, sufficient bandwidth, low latency
  • Multi-language Environment: VUE frontend configured with multilingual packs, backend MySQL uses utf8mb4 charset
  • Account Pool Preparation: Prepare sufficient platform accounts in advance, use different accounts for different regions
  • IP Environment: Use proxy IP pool covering target country regions to avoid account association
  • Payment Configuration: Configure point purchasing, member upgrade and other payment processes

⚠️ Important Note: Order brushing systems involve platform rule risks. Evaluate local legal environment before deployment. Some countries and regions have strict restrictions on order brushing behavior. System is for technical research purposes only.

3. Common Issues and Solutions

3.1 Account Blocked by Platform Risk Control

If accounts are frequently blocked during task execution, check whether IP is exposed, whether browser fingerprints are the same, and whether operation time intervals are too short. Recommend increasing task interval time and using different proxy IPs.

3.2 Credit Score Calculation Inaccurate

Credit score system needs weight parameter adjustment based on actual business. You can modify weight values for each indicator in backend “Credit Management”.

3.3 Interest Treasure Income Distribution Abnormal

Check the yield rate setting and daily settlement time in “Interest Treasure Configuration”, confirm server timezone configuration is correct.

4. Custom Development and Extension Options

System supports API interface extensions: can integrate with ERP systems for automatic order synchronization, add logistics tracking module, develop data analysis reporting features.

5. FAQ

Q1: Which countries e-commerce platforms does the system support?
A1: Supports mainstream cross-border e-commerce platforms, can adapt through configuring different task templates.

Q2: What is the maximum number of accounts the account pool supports?
A2: Standard version supports 500-2000 accounts online simultaneously, enterprise version has no upper limit.

Q3: How is Interest Treasure income calculated?
A3: Daily at midnight, automatically settles based on user balance and configured daily interest rate, frontend displays income in real time.


#MallBrushingSystem #OverseasOrderSnatching #CreditScore #MultiLanguageSystem #CrossBorderEcommerce

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