Retail & E-Commerce

A Leading TikTok Women's Fashion Brand Uses Automa RPA to Achieve End-to-End Live Streaming Automation, Saving 80% in Costs

Jishang Group leveraged Automa RPA to automate TikTok live-stream operations, order follow-ups, price monitoring, finance reconciliation, and customer support—reducing manual work, cutting costs by up to 80%, and accelerating response times across core e-commerce workflows.

200+Business scenarios covered
40+ hoursAverage daily operation time
2,000+labor-hours/day Labor saved
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customer logo

"We have implemented RPA across all departments, with the most extensive applications in finance, customer service, control center, and data analysis. This has unleashed creativity in each department, leading to the development of many innovative automation scenarios. Labor savings are just one aspect—RPA frees people from monotonous, repetitive tasks, significantly boosting everyone's enthusiasm and efficiency at work."

Liora Vance·IT Header at Jishang Group

About Jishang Group

Jishang Group is a retail platform focused on high-end fashion apparel, integrating design, pattern making, production, retail, and services. Its self-owned brand Nicole is committed to creating comfortable, elegant, and minimalist styles for women. Nicole has attracted nearly one million followers on TikTok, and during the TikTok 618 Shopping Festival, its total sales exceeded USD 73 million, ranking first on the Good Products Festival sales chart.

After introducing Automa RPA, Jishang Group has deeply applied it in departments such as finance, customer service, central control, and data analysis. Especially during the pre-, mid-, and post-stages of live streaming, it has implemented scenarios including product management, live streaming central control, data retrospection, and user operations, significantly improving the operational efficiency and level of intelligence across the entire live broadcast chain.

Operational Statistics

  • 200+ RPA applications developed

  • Over 3,800 hours of operation

  • Over 20,000 runs

  • Saving over 2,000 labor-hours per day

Achieved Results

  1. Automated live streaming management enables effective control of the broadcast pace. Previously, each session required two staff members; now, with Automa, as long as the phone is charged, the process is fully automated with zero manual intervention.

  2. For customers purchasing pre-sale items, multi-stage follow-ups that previously required 2-3 staff and 3 hours daily are now fully automated, freeing employees for more valuable work.

  3. Automated monitoring and real-time notifications for product prices across multiple stores. Manual comparison used to take 1-2 weeks; with Automa, it now takes just one day, with no human supervision required

Covered Teams

Finance, Customer Service, Control Center, Data Analysis, etc.

Covered Scenarios

  1. Customer Service: Automated messaging, order processing, reviews, and data retention

  2. Finance: Voucher generation, fund management, automated reporting

  3. Operations: Product card creation, code risk control, automated inventory updates

Automa Deliverables

Challenge 1

The increasing number of new product launches required significant time to prepare various product data and information.

Solution 1

Automa RPA breaks down information silos across multiple systems, automatically consolidating and printing product information, greatly reducing the workload for control center assistants.

Data Automation
Challenge 2

Controlled, repeated customer outreach has always been a challenge for online sales. Manual outreach is time-consuming, labor-intensive, and prone to errors.

Solution 2

Automa RPA automatically identifies user order information and leaves targeted messages or flags, preventing errors and saving significant labor.

Customer Outreach Automation
Challenge 3

Front-end sales, back-end supply chain, and financial information are not only complex but also highly error-prone.

Solution 3

Automa RPA either simulates manual downloads or uses API integrations to store various data in local databases, ensuring historical data retention and supporting the development of visual dashboards.

Data Integration Automation

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