Retail & E-Commerce

Vinda’s In-depth Adoption of Automa RPA: A Single Application Boosts E-commerce Operational Efficiency by 67%

Vinda used Automa RPA to automate e-commerce operations—from bulk messaging to invoice processing—across 700+ scenarios, boosting efficiency by 67% and saving 3,160 man-days while building in-house citizen developers.

700+business scenarios covered
67%efficiency improvement in mass messaging scenarios
3,100+people saved per day
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customer logo

"Automa RPA boosts employee productivity by using robots to handle standardized or repetitive tasks. It enables batch data collection, saving significant time and simplifying daily work. Critically, even non-technical staff can learn to build workflows with it. Moving forward, we aim to expand Automa RPA adoption, letting teams across departments design custom workflows for their unique needs—ultimately making automation accessible to everyone."

Thalia Voss ·RPA Project Leader at Bestore

About Vinda

For many years, Vinda Group has upheld the philosophy of "Healthy Living Starts with Vinda," and is dedicated to providing every consumer and client with high-quality hygiene and care products and services. With ten state-of-the-art production bases, Vinda Group has developed multiple businesses—including household paper, incontinence care, feminine care, baby care, and away-from-home hygiene solutions—under major brands such as Vinda, Tempo, Tork, TENA, Dr.P, Libresse, Libero, and Drypers.

Vinda introduced Automa RPA, which was deeply integrated into the operations of various e-commerce departments. The launched "Store Group Messaging" application enabled the business to easily send messages such as shopping credits, coupons, and trial offers in bulk via group chats during promotional events, successfully improving work efficiency by 67%.

Operational Statistics

  • A total of 11 people participated in the project.

  • Digital transformation covered 50% of employees.

  • A total of 778 applications were developed.

  • Cumulative execution time reached 5,057 hours.

  • A total of 3,160 man-days were saved.

Achieved Results

  1. Eliminated a large amount of repetitive work

  2. Significantly improved work efficiency

  3. Enhanced employee satisfaction, and supported team growth.

  4. cultivating in-house developers capable of building operational and data acquisition workflows, thereby increasing the company's talent density.

Covered Teams

All e-commerce departments (customer service, operations, data, etc.)

Covered Scenarios

Operational Tasks

  1. Batch messaging across multiple platforms

  2. uploading and downloading invoices on multiple platforms

  3. downloading and shipping orders across platforms

Data Acquisition

  1. Collecting industry data from multiple platforms

  2. Tracking product prices.

Automa Deliverables

Challenge 1

There are a large number of repetitive process operations in daily work. Departments need to handle repetitive tasks across multiple platforms, such as product listing and delisting, flagging and noting, invoice uploading and downloading, and order downloading, which consume significant time and human resources.

Solution 1

By leveraging Automa RPA, these repetitive processes can be automated, replacing manual operations. This improves work efficiency, reduces labor costs, and allows employees to focus more on creative and strategic tasks.

Repetitive Process Automation
Challenge 2

Customer service representatives need to communicate with customers via chat software, answering various questions and facilitating transactions. However, during periods of surging orders, existing customer service resources are often insufficient to handle the workload promptly, leading to decreased customer satisfaction.

Solution 2

Automa RPA augments customer service resources, enabling flexible scaling during promotional periods. It automates scenarios such as returns and exchanges, automatic invoicing, and batch messaging, thereby improving customer satisfaction.

Customer Service Automation
Challenge 3

As comprehensive platforms, Tmall Supermarket and TikTok offer significant brand exposure and traffic. However, compared to brand-owned stores, they face challenges in data acquisition and direct user retention.

Solution 3

Automa RPA can automatically acquire platform traffic sources and user data, enabling operations staff to perform attribution analysis and adjust product and traffic placement strategies accordingly.

Data Acquisition Automation

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