Retail & E-Commerce

Automa RPA exponentially boosts efficiency and significantly reduces labor costs.

Automa RPA automated 1,500+ scenarios across UNQ’s operations, doubling efficiency and saving over USD 3.3M in labor. Bots send 400–500 customer messages per hour, replace 2–3 FTEs daily, and consolidate data from 20+ stores within one hour.

1,500+Business Scenarios Covered
26,000+Hours Cumulative Runtime
USD 3.3 Million+Cost Savings for Enterprises
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"Automa has created a positive digital culture that inspiredour team to embrace the power of digitalization. lt not onlyimproved our current work efficiency but also laid a strongfoundation for broader, long-term digital transformationacross the company."

Cat Rose·Head of IT & Data at UNQ

About UNQ

UNQ specializes in beauty products, adult personal care products, baby care products, health products, and daily necessities, providing major brands with omnichannel, end-to-end operational support and customized solutions. We have established long-term partnerships with numerous internationally renowned brands, empowering these brands to maximize their market influence and unleash their full potential.

UNQ partnered with Automa RPA to drive digital transformation across departments such as customer service, operations, data, finance, and supply chain, implementing over 1,500 automated application scenarios. This initiative not only doubled business efficiency but also saved the company more than 3.3 million USD in labor costs.

Operational Statistics

  • Over 1,500 RPA applications deployed

  • Accumulated over 26,000 hours of operation

  • Generated more than USD 3.3 million in added value for the enterprise

Achieved Results

  • Automated messaging: Previously, manual staff could send at most 1,000–1,500 messages per day, with limited accuracy. Now, Automa RPA can automatically process 400–500 messages per hour, greatly improving efficiency and replacing the daily workload of 2–3 people.

  • Streamlined data collection, allowing more focus on data analysis: Previously, creating a daily report for a single store took at least 30 minutes, and the beauty operations department manages over 20 stores. Now, with Automa RPA automatically fetching data, all store data can be collected within one hour, saving significant manual effort and enabling the team to focus more on data analysis.

Covered Teams

Customer Service, Operations, Data, Finance, Supply Chain

Covered Scenarios

  1. Operations: Collecting promotional and product data, generating daily reports, etc.

  2. Customer Service: Leaving messages with tracking numbers for split orders with multiple packages, managing consignment receipt information on Tmall

  3. Data: Gathering various business and management-related data for the company's data platform

  4. Finance: Automating withdrawals, invoice reminders, billing data downloads, and transaction statement generation

  5. Supply Chain: Supporting inventory turnover forecasting for the company

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