Retail & E-Commerce

Automa RPA Boosts AOKANG’s E-commerce CS Efficiency: Refunds/Exchanges & Bulk Messaging Automated, 6.5 FTEs Saved Daily

AOKANG leverages Automa RPA to improve efficiency in its e-commerce customer service by automating refund and exchange processes as well as bulk messaging, saving the equivalent of 6.5 full-time equivalents (FTEs) per day.

5,000 hoursAverage monthly runtime
50%Increase in data processing efficiency
24xFaster bulk messaging
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customer logo

"1+1=10, Digitalization enables every employee to work more efficiently, driving overall business performance. For e-commerce professionals, RPA is truly an indispensable partner."

Rowan·Customer Service Manager at AOKANG

About AOKANG

Founded in 1988, AOKANG is a large comprehensive group enterprise that integrates capital operation, brand operation, and industrial operation, with businesses spanning footwear, finance, biopharmaceuticals, real estate, and other sectors. With the brand mission of providing more comfortable men's leather shoes, AOKANG owns several proprietary brands such as AOKANG and Kanglong, as well as international cooperation brands including VALLEVERDE, SKECHERS, and INTERSPORT.

In recent years, AOKANG has been actively promoting digital transformation, utilizing digital technologies to enhance business efficiency and product quality. As one of the important tools for this transformation, Automa RPA has been deeply implemented in departments such as the e-commerce customer service department, e-commerce operations, financial shared service center, and international trade center. Over 500 RPA applications have been developed, with a cumulative execution time exceeding 40,000 hours.

Operational Statistics

  • Applications Developed: 500+

  • Cumulative Runtime: 41,000+ hours

  • Tasks Executed: 360,000+

Achieved Results

Multi-platform After-sales Refund/Exchange

  1. Over 30,000 cumulative after-sales cases processed

  2. More than 15,000 total hours saved

  3. Average daily savings of 4 FTEs (Full-Time Equivalents)

Multi-platform Bulk Messaging

  1. Over 22,000 cumulative bulk messages sent across various scenarios

  2. More than 10,000 total hours saved

  3. Average daily savings of 2.5 FTEs

Vipshop Operations

  1. Achieved daily automation of order placement, packing, and warehouse fulfillment updates

  2. Eliminated staff requirements for early/late shifts and weekend work for order processing

International Trade Center

  1. Developed over 10 custom operational applications

  2. Automated organization and consolidation of foreign trade order forms

  3. Reduced manual overtime hours by over 100 per cycle

Covered Teams

E-commerce Customer Service Department, E-commerce Operations Department, Financial Shared Services Center, International Trade Center

Covered Scenarios

Customer Service

  1. Daily unshipped order reporting

  2. TikTok unshipped order refund processing

  3. OMS return/exchange order notes

  4. Data registration/Bulk message sending

  5. After-sales satisfaction survey invitations

Operations

  1. Return logistics analysis

  2. Hot-selling product stockout alerts

  3. Pre-sale arrival reminders

  4. Competitor data scraping

  5. Vipshop scheduled order placement

Financial Shared Services Center

  1. Allinpay fund reconciliation

  2. Voucher generation

  3. Balance checks

  4. Daily financial sales reports

International Trade Center

  1. Foreign trade order packing list categorization

  2. Data aggregation across departments

  3. International trade order packing list organization

  4. Daily reception data tracking for international trade

Automa Deliverables

Challenge 1

Daily business operations often involve managing multiple platforms such as Tmall, JD, and TikTok, and require integration with the ERP system to process refund and exchange requests. Cross-system workflows are complex and time-consuming, with high transaction volumes across platforms. Manual processing is inefficient and prone to errors.

Solution 1

By implementing RPA for automated refund processing, the total number of transactions processed across all platforms has exceeded 30,000, with cumulative hours saved surpassing 15,000. On average, this solution saves the department the equivalent of 4 full-time employees daily.

Refund and Exchange Automation
Challenge 2

The customer service department previously needed to log data across up to 22 spreadsheets daily. This task was distributed among team members, making centralized data consolidation cumbersome. The data logging process was tedious, time-consuming, and error-prone, with submissions required even on rest days.

Solution 2

Now, Automa RPA is used to automatically log data on a daily scheduled basis, and important data is sent as reports to DingTalk groups for intuitive viewing. This solution saves the equivalent of 1 full-time employee daily on average.

Data Automation
Challenge 3

High-frequency notification scenarios across multiple platforms—such as payment reminders, shipping notifications, exchange updates, delivery time confirmations, address changes, and pandemic-related shipment delays—make it challenging for staff to process high volumes of tasks efficiently, resulting in errors and negatively impacting the customer service experience.

Solution 3

RPA is used to automatically send batch messages across multiple platforms. To date, the total number of batch messages sent in these scenarios has exceeded 22,000, with cumulative hours saved surpassing 10,000. This solution saves the equivalent of 2.5 full-time employees daily, significantly improving operational efficiency and processing accuracy, reducing customer wait times, and enhancing the customer experience.

Customer Notification Automation

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