Retail & E-Commerce

Comprehensive Coverage of the Retail Sector, Digitally Empowering E-Commerce Businesses to Reduce Costs and Improve Efficiency

Semir partnered with Automa RPA to automate retail operations across merchandising, customer service, and finance. Delivered 323 apps across 300+ scenarios, ran 7,600+ runtime hours, and saved 4,756 workdays, boosting efficiency, cutting costs, and standardizing workflows.

300+business scenarios covered
7,600+hours of cumulative runtime
4,700+days of manpower efficiency
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customer logo

"Once you start using Automa RPA, you'll never want to go back."

Rowan·RPA Project Manager at Semir

About Semir

Semir Apparel is a branded apparel enterprise characterized by its virtual operation model, with adult casual wear and children's clothing as its main products. The company currently owns clothing brands such as Semir, Balabala, and Minibalabala. In March 2011, Semir Apparel was successfully listed, becoming one of the listed apparel companies.

Semir has engaged in a deep collaboration with Automa RPA, comprehensively covering the retail front-end and driving digital transformation across multiple departments, including customer service, operations, data, and finance. By automating repetitive and low-value tasks, the company has improved efficiency, reduced labor costs, and promoted the standardization of business workflows.

Operational Statistics

  • Built 323 applications over 6 months

  • Accumulated 7,610 hours of operation

  • Saved 4,756 workdays of human resource input

Achieved Results

  1. Supplemented platform and business system functionalities, reduced costs, and improved efficiency.

  2. Enhanced stability of foundational positions, increased talent density, and established itself as a tool for learning and innovation within business culture.

  3. Promoted the standardization of business processes, becoming a valuable tool for process management within the company.

Covered Teams

Retail, including Semir Online Merchandising & Operations, Balabala Online Merchandising & Operations, Mini Balabala Online Merchandising & Operations, Customer Service Center, Member Operations, Data Team, Finance Team, etc.

Covered Scenarios

  1. Merchandising & Operations: Coupon management, SKU and price audits, SKU replacement, price monitoring, product image updates on platforms, one-click price adjustment on Pinduoduo (PDD), PDD resource slot management, etc.

  2. Customer Service: Logistics information monitoring, interception, and bulk refunds; OMS automatic order review; Wangwang message triage and distribution; bulk additional refunds; WOS automatic task assignment, etc.

  3. Member Operations: Member invitations, member data acquisition, classification, and tagging; member engagement activities.

  4. Data Management: Multi-dimensional data acquisition and processing.

  5. Finance: Automated billing data collection and processing across platforms.

Automa Deliverables

Challenge 1

As businesses grow, they face high labor costs, low processing efficiency, and frequent errors in order processing, inventory management, and supply chain management.

Solution 1

Automa RPA can automatically handle order processing and tracking, reducing manual intervention and error rates, and enabling timely supply chain adjustments to improve efficiency and accuracy.

Order Processing Automation
Challenge 2

With a surge in customer inquiries and after-sales service needs, staffing cannot scale quickly with business expansion, resulting in low customer service efficiency and poor customer experience.

Solution 2

By supplementing platform and business system functionalities with Automa RPA, labor efficiency was significantly improved and costs were saved during the 2022 Double 11 campaign.

Customer Service Automation
Challenge 3

Data is the foundation of daily business operations. However, large volumes and inconsistent formats make manual collection, organization, and analysis prone to errors, omissions, and time-wasting.

Solution 3

Automatically collect, clean, and integrate data, while standardizing and unifying data processing workflows to improve data accuracy.

Data Processing and Integration Automation

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