Retail & E-Commerce

Automating Nearly 10,000 Monthly Bank Receipt Voucher Numbers, Boosting Financial Efficiency by 10x

Automa RPA automated YOWANT’s finance ops: 90% faster trial-balance processing, aging analysis cut from 2–3 days to 1.5 hours, 90%+ bank receipt voucher efficiency, 100% invoicing accuracy, and consolidated reports delivered 2 days earlier.

95%improvement in aging analysis automation efficiency
100%accuracy in automated invoicing
2 daysearlier consolidated reports issued
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customer logo

"No more overtime—RPA makes finance work easier and more efficient. Digital and intelligent finance is the future trend, and mastering RPA tools is an essential skill for future finance professionals."

Elara Mercer·Financial Shared Services Center Header at YOWANT

About YOWANT

Founded in 2010, YOWANT is a technology-driven new consumer service platform. Since 2018, it has expanded into the live e-commerce sector, building a multi-tiered professional anchor matrix with over 100 "celebrities + influencers" and launching a "100 Million Quality Assurance Fund" to protect consumer rights. Through its proprietary digital "YOWANT Cloud" platform, YOWANT has achieved online live-streaming processes, large-scale analytics, and intelligent product selection.

Since partnering with Automa RPA, YOWANT’s Financial Shared Services Center has undergone extensive digital transformation. By optimizing financial processes, eliminating repetitive tasks, and reducing error rates, the company has achieved intelligent and highly automated financial operations. These improvements have resulted in significant cost savings, efficiency gains, and enhanced competitiveness and sustainability.

Operational Statistics

  • Deployed over 150 RPA applications, automating a wide range of business scenarios

  • Saving more than 2,700 person-days of labor.

Achieved Results

  1. Processed tables from over 100 subsidiaries with RPA in just 2 hours, saving 90% of work hours and achieving zero errors.

  2. Automated aging analysis reduced workload from 2-3 person-days to just 1.5 hours, enabling consolidated reports to be issued more than 2 days earlier.

  3. Automated bank receipt voucher number processing reduced manual effort from 30 hours to just 3 hours, improving efficiency by over 90%.

  4. Implemented automated reminders for petty cash repayments, accelerating the account clearing process.

Covered Teams

The project spans multiple departments, including finance, human resources, legal, and business, and its value has been widely recognized.

Covered Scenarios

  1. Tax-related: Automated invoicing, automatic download of monthly tax returns, Alipay monthly transaction statement download, and automated download of bank receipts and account statements.

  2. Operational: Automation of bank receipt voucher numbers, daily and monthly sales reports from the cloud backend.

  3. Scheduled Tasks & Management: Export of approval record elements from expense reports, automated screenshots of backend balances, and automated reminders for petty cash repayments.

  4. Trial Balance (TB)-related: Automated aging analysis, automatic data entry for TB tables.

Automa Deliverables

Challenge 1

The finance department needed to manually fill in trial balance (TB) tables and aggregate business data—tasks that were highly repetitive, required little subjective judgment, consumed significant time and labor, and were prone to human error.

Solution 1

RPA bots automatically filled in TB tables and aggregated business data, improving efficiency by 90% and achieving 100% accuracy.

Data Entry Automation
Challenge 2

In aging analysis projects, inconsistent standards led to difficulties in result verification. Different staff might use varying criteria and methods, resulting in discrepancies and inconsistencies, complicating verification and affecting data accuracy and comparability.

Solution 2

RPA bots performed aging analysis based on established rules and standards, ensuring uniform analysis methods, simplifying result verification, improving data accuracy and comparability, boosting efficiency by over 95%, and enabling consolidated reports to be issued more than 2 days earlier.

Analysis Automation
Challenge 3

The finance department needed timely access to third-party backend data for processing and analysis. Manual operations required human supervision and often suffered from delays, preventing timely access to the latest data. Additionally, the finance team had to actively query sales data, increasing workload and time consumption.

Solution 3

RPA bots automatically downloaded real-time data from third-party backends, enhancing timeliness and data processing speed. At the same time, by automating daily sales reports, the finance department passively received data each day, reducing the burden of active querying and enhancing decision-making capabilities.

Reporting Automation

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