Aosom
Using Automa RPA to enable end-to-end automation of cross-border e-commerce processes, improving efficiency and reducing costs for business operations.
"Automa RPA is an indispensable tool for the future digital operations of enterprises."
Quinn Tynan
RPA Project Leader at Aosom
About Aosom
Aosom E-Commerce Co., Ltd., founded in 2013, is a cross-border export e-commerce enterprise mainly engaged in home goods, outdoor products, sports and health products, and pet supplies. The company operates on multiple European and American e-commerce platforms, including its own Aosom independent website, major international third-party platforms such as Amazon and eBay, as well as local platforms. By establishing overseas subsidiaries, building self-owned overseas warehouses, forming professional localized B2C operation teams, and adopting an omnichannel sales model, Aosom has successfully sold its products to more than 10 countries worldwide.
Since the introduction of Automa RPA, Aosom has successfully held over 10 training sessions, attracting the active participation of around 100 employees and effectively expanding the size of its digital team. Automa RPA is primarily applied in business scenarios such as sales, marketing, customer service, and finance, and has successfully developed over 2,000 automation applications, becoming an indispensable tool for improving operational efficiency.
Developed 2,700+ RPA applications
Total runtime: 33,000+ hours
Equivalent to 20,000+ man-days of work automated by bots
Including Sales, Marketing, Customer Service, Finance, etc.
Automated review solicitation, refund order processing, campaign submission automation, multi-platform price adjustment, automatic product listing, automated video uploading
SCM data synchronization, category ad price scraping, daily new product data refresh, key AZ data extraction, A+ content data issue checks
Automated financial refunds, refund amount reconciliation, new product traffic validation, automated invoice uploading
Improved work efficiency: Intelligent automation across multiple departments enables end-to-end process automation, freeing employees from repetitive, low-value tasks and allowing them to focus on higher-value work
Accelerated data collection and processing: Enhanced multi-platform, multi-system data acquisition for faster and more accurate information, supporting better business decision-making
2700+
Developed applications
40+ hours
Average daily runtime
20,000+ man-hours/day
Labor saved
Challenge 1: Manual Workload Burden
Currently, in the cross-border e-commerce sector, marketing departments face a large number of repetitive tasks that require significant manual input. This occupies valuable employee time and limits opportunities to create higher value.
Solution 1
By implementing RPA technology, repetitive tasks such as image modification can be fully automated, generating over 50,000 images annually and saving at least 3,000 hours of labor. This process requires no manual intervention and avoids potential errors caused by human operation.
Image Replacement
Automatic Image Transfer
Challenge 2: Data Collection Difficulties
The e-commerce industry relies heavily on timely and accurate data. However, with multi-channel operations, large volumes of data are scattered across different platforms, affecting the efficiency and accuracy of data collection.
Solution 2
RPA technology enables the automated collection of multi-dimensional data from various systems and platforms, avoiding human errors and achieving comprehensive and precise data acquisition.
SCM Data Synchronization
Category Advertising Price Scraping
Challenge 3: Business and IT Collaboration
Scripts developed by IT departments often lack the flexibility to adapt to changing business needs. There is a need for greater autonomy and rapid adjustment capabilities, rather than relying on external tools with fixed functionalities.
Solution 3
Automa provides systematic education and technical support services to help each department establish its own RPA team. Frontline business departments are responsible for learning and undertaking RPA tasks to meet specific business requirements, ensuring that RPA tools are better aligned with business processes and enhancing autonomy and flexibility.
CoE (Center of Excellence) Organization
Sunshine Plan