Retail & E-Commerce

End-to-End RPA Automation: Dual Gains in Efficiency and Loss Prevention

Automa RPA accelerated Midea Intelligent Lighting’s e-commerce operations 2.5–5x, automating data sync, pricing checks, invoicing, and after-sales. The solution saved 7,800+ man-days and prevented ~USD 3.8M in losses through accurate, scalable, round-the-clock execution.

5X fasterpre-sales order conversion
Over USD 3 millionsaved by avoiding losses from logistics interception and other financial risks
4Ximprovement in financial accounting and invoicing efficiency
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"Automa RPA is highly compatible with e-commerce scenarios and features a user-friendly interface. It can quickly meet temporary system setup needs and serves as an efficiency accelerator for major promotional events, significantly improving Meizhi Optoelectronics' operational efficiency and achieving cost reduction, efficiency improvement, and revenue growth."

Rowan Thorne·Digital Manager of Online Business at Midea Intelligent Lighting

About Midea Intelligent Lighting

Midea Intelligent Lighting, a member of Midea Group, is a high-tech enterprise specializing in the design, R&D, production, and sales of lighting and smart pre-installed products.
Main product categories: smart lighting, smart bathroom heaters, smart switch panels, smart clothes dryers, and other smart pre-installed products.

Midea Intelligent Lighting' products are widely used in commercial real estate, education and healthcare, urban transportation, industrial production, cultural tourism, and more, earning a strong market reputation and high recognition.
Adhering to the philosophy of "Technology for Comfortable Living Spaces," the company focuses on innovative technology and market frontiers, accumulating rich technical reserves through industry-university-research collaboration and in-house R&D centers.

As Midea Group's high-tech subsidiary focused on smart pre-installed products, Midea Intelligent Lighting has achieved full-chain digital transformation of its e-commerce operations through collaboration with Automa RPA. In key business scenarios such as promotional events, pre-sales and after-sales, and financial verification, Automa RPA has significantly improved work efficiency, reduced labor costs, and eliminated business risks. Currently, automation has been implemented across departments including the Digital Middle Office, e-commerce operations, marketing, and customer service, not only improving data processing efficiency but also greatly reducing asset loss risks and creating significant economic value for the company.

Operational Statistics

  • 1,000+ applications developed

  • 12,000+ hours of application runtime

  • 7,800+ man-days of labor saved

Achieved Results

  1. Automatic supplier switching: About 800 products linked in 2 days (previously 1 week), efficiency increased by 2.5 times

  2. After-sales shipping: Delivery efficiency improved 4-fold; logistics loss reduced by approximately USD 280,000; avoided performance loss and after-sales warehouse costs of about USD 2.92 million; eliminated 6,000 delivery-time complaints and platform penalty risks

  3. Financial verification: Invoicing efficiency improved 4-fold, avoiding approximately USD 600,000 in losses due to delayed invoice verification

  4. Pre-sales promotion: Coupon creation efficiency improved 5-fold, reducing labor costs by 4 man-days per year and avoiding approximately USD 200,000 in asset losses

Covered Teams

Digital Middle Office, E-commerce Operations, After-sales Customer Service and more

Covered Scenarios

  1. Digital Middle Office: Automated data downloads, database interactions

  2. E-commerce Operations: Bulk price adjustments, bulk invoicing, bulk product registration, bulk coupon creation

  3. After-sales Customer Service: Bulk refund and return processing

Automa Deliverables

Challenge 1

Manual operations across multiple stores, data sources, and systems required significant time for data aggregation.

Solution 1

By leveraging Automa RPA's advanced task scheduling in conjunction with ETL and BI systems, automated data sourcing is achieved: full historical data from multiple stores is standardized and stored in the database, and daily reports are generated automatically without any manual calculation.

Data Reporting Automation
Challenge 2

Large volumes of pre-sales promotional coupons needed to be created, requiring operations staff to work in shifts to respond to customer service requests.

Solution 2

Trigger coupon creation applications via Automa RPA's advanced task scheduling and webhook. Customer service can send discount parameters in the DingTalk group to create coupons automatically, with coupon links returned by the DingTalk bot—greatly freeing up operations staff time.

Coupon Creation Automation
Challenge 3

A large number of national subsidy orders required batch invoicing, with tight deadlines and high risk of manual errors.

Solution 3

Use Automa RPA to operate platforms such as the Alibaba Invoice Platform and in-house ERP, achieving fully automated electronic invoicing.

Order Batch Invoicing Automation

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