Manufacturing & Industrial

Using Automa RPA to Accelerate Business Growth: Doubling Efficiency and Halving Labor Costs

Fotile used Automa RPA to automate e-commerce order, sales, and finance workflows, achieving 92% faster order processing, 50% lower labor costs, and a $420K reduction in cargo losses.

92%Increase in Business Efficiency
50%Reduction in Labor Costs
$420,000Successfully Reduced Cargo Losses
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"We rely heavily on the capabilities of Automa RPA. Digitalization has made our employees more efficient and solved repetitive daily tasks. We believe Automa is at the forefront of next-generation digital transformation, representing the future of digitalization."

Jaxson Martinez·Project Manager of Fotile RPA Phase II

About Fotile

Founded in 1996, Fotile is a provider of happy life solutions, with smart kitchen appliances as its core business. The company focuses on the R&D and production of high-end kitchen appliances, and currently offers a wide range of products including integrated cooking centers, range hoods, sink dishwashers, built-in dishwashers, water purifiers, built-in gas stoves, built-in disinfection cabinets, built-in microwaves, ovens, and gas water heaters.

Fotile has established 95 branches and built a comprehensive sales network covering specialty stores, home appliance chains, traditional department stores, kitchen cabinet dealers, and e-commerce platforms. Fotile innovatively promotes a high-end e-commerce strategy, focusing on enhancing user experience in product structure, channel structure, online customer service, and delivery and installation.

Operational Statistics:

  • 50 digital applications implemented

  • 30,434 hours of operation

  • 32,000 hours of labor saved

Covered Teams:

  • Used by staff in 8 e-commerce departments, covering 72% of relevant personnel

Covered Scenarios:

  1. Downloading and processing sales data reports from all domestic e-commerce platforms

  2. Collecting and processing review data from multiple platforms

  3. Acquiring live streaming data from multiple platforms

  4. Intelligent interception of unshipped orders

  5. Checking platform price settings and processing batch financial refunds

Achieved Results:

  1. The intelligent interception project for unshipped orders improved efficiency by 92%, reduced labor costs by nearly 50%, and received high recognition from the business.

  2. Eliminated a large amount of repetitive work, improved work efficiency, enhanced employee satisfaction, and supported team growth.

  3. Empowered business teams to independently develop automation applications, freeing many employees from repetitive, robotic tasks.

Challenge 1

During major promotions, the number of unshipped order modifications reached up to 3,000 orders per hour. Cross-system repetitive work was time-consuming, and process design lacked optimization.

Solution 1

Automate order processing and tracking, reduce manual intervention, enable timely supply chain adjustments, and improve efficiency and accuracy. 1. Unshipped order processing 2. Intelligent interception

Challenge 2

Finance frequently requires reconciliation, such as bank and sales reconciliation, and handling exceptions like refunds and order cancellations. Manual verification and processing are time-consuming and labor-intensive.

Solution 2

RPA reduces manual operations and tedious work, improves data processing accuracy and efficiency, and accelerates the generation and updating of financial reports. 1. Automated refund reporting 2. DRP batch creation 3. Invoice generation and verification

Challenge 3

Low system construction efficiency, coexistence of multiple systems, difficulty in independently optimizing business processes, and high barriers to system modification.

Solution 3

Direct integration with existing systems avoids further complexity, allowing limited resources to focus on core business and innovation, without excessive concern for integration complexity and cost. 1. DRP outbound data retrieval 2. LDX daily inventory data processing

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