Retail & E-Commerce

Comprehensively covers the entire customer service process, saving 50 FTEs annually.

Automa RPA enabled XTEP to automate 600+ workflows across e-commerce service, finance, and operations, providing 24/7 refunds, order interception, and consolidated data, boosting efficiency by up to 90% and saving 50+ FTEs per year.

2000+ orders/dayRPA automated order review and refund
90%Overall labor efficiency improvement
50+FTEs saved annually
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"Automa helps enterprises address highly repetitive, labor-intensive, and time-consuming tasks by rapidly developing and implementing solutions tailored to their business needs, bringing real productivity transformation and delivering tangible cost savings and efficiency improvements."

Jorah Fenwick·RPA Project Leader at XTEP

About XTEP

Xtep Group Co., Ltd., founded in 1987, established the Xtep brand in 2001, and was officially listed on June 3, 2008. In 2019, Xtep acquired several international brands overseas, embarking on a multi-brand and international development path. As a professional sports products enterprise targeting the mass market, Xtep is committed to the production of professional sports products while adhering to its unique positioning of "sports fashion". Through a differentiated marketing strategy combining sports and entertainment, Xtep provides consumers with sports products that are both personalized and cost-effective. The group owns its main brand Xtep, as well as internationally renowned sports brands such as Saucony, Merrell, K-Swiss, and Palladium.

In the tough brand retail competition, Xtep launched Automa RPA in its e-commerce customer service department to up efficiency and lower costs in its e-commerce operations. After over a year of working together, Xtep has created over 600 automated apps, deeply built into the whole customer service process, saving the company the equivalent of over 50 full-time jobs.

Operational Statistics

  • Built over 600 applications

  • Accumulated over 28,000 hours of execution

  • Saved more than 50 FTEs (Full-Time Equivalents) per year for the enterprise

Achieved Results

  1. Eliminated highly repetitive, high-volume, and time-consuming tasks, freeing up inefficient labor and improving business efficiency.

  2. Enhanced after-sales processing timeliness, improved message delivery capability, and strengthened data accumulation and analysis.

  3. Enabled rapid development and deployment of solutions for business needs, automated business processes, and improved emergency response capabilities.

Covered Teams

Customer Service, Operations, Finance, etc.

Covered Scenarios

TB Automated Order Review & Refund

Automatically verifies refund amounts based on order status and notes, enabling 24/7 uninterrupted automated refunds. During Singles’ Day, processes over 2,000 refunds daily, saving 3–5 FTEs per day.

TB Automated Order Interception

Automatically assesses order information and logistics status across platforms and multiple accounts, enabling 24/7 uninterrupted order interception. During Singles’ Day, intercepts over 1,500 orders daily, saving 3–5 FTEs per day.

Shopping Credit After-Sales

Integrates with ERP work orders to automate consumer ticket registration. RPA automatically opens the shopping credit refund channel, notifies consumers to apply for refunds, and processes refunds automatically after application, saving 1–2 FTEs per day.

Financial Reimbursement Form Verification

Captures cross-platform information via order numbers for bill reconciliation and anomaly detection, effectively reducing 90% of the finance team’s verification time.

Data Asset Consolidation

Automatically captures review data, order information, store performance metrics, and complaint & regulatory order data, effectively consolidating data assets, enabling intelligent decision-making and solution delivery, and fully replacing manual operations.

Automa Deliverables

Challenge 1

Order refund scenarios are complex, involving extensive data entry and manual operations. Human errors and omissions can easily occur, leading to issues in refund processing and increasing the workload of customer service.

Solution 1

Leverage Automa RPA to develop multiple refund applications that automatically verify amounts based on order status and notes, enabling fast, accurate, and uninterrupted 24/7 refunds.

Order Refund Processing Automation
Challenge 2

Data acquisition is challenging due to the presence of multiple platforms, complex data sources, inconsistent data standards, and platform restrictions. Relying on business staff for data collection is time-consuming, error-prone, and of low value.

Solution 2

RPA robots fully replace manual operations, helping business departments effectively consolidate data to support intelligent decision-making and solution development.

Data Acquisition and Consolidation Automation
Challenge 3

E-commerce finance teams must handle massive amounts of order information, promotional details, group purchases, membership fees, and other complex cost accounting and financial processing. During major sales events, the finance department can become overwhelmed.

Solution 3

Use RPA to create multiple automated financial and tax workflows. These processes capture multi-platform information via order numbers, reconcile account balances, identify anomalies, and effectively save 90% of reconciliation time for finance staff.

Financial and Tax Automation

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