Retail & E-Commerce

Empowering the Instant Retail Industry with RPA: Achieving End-to-End Marketing Process Automation

Empowering the Instant Retail Industry with RPA: Achieving End-to-End Marketing Process Automation

97%reduction in campaign submission time
59%improvement in financial settlement efficiency
1,440+hours of monthly labor saved
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"Automa has componentized many tasks, making them easy to use. Through minimum viable scenario practices, manual operations can be quickly replaced."

Seren Blythe·Information Technology Header at Esmartwave

About Esmartwave

Founded in 2013, Esmartwave is an end-to-end intelligent marketing technology service provider, specializing in the digital transformation of consumer goods and pan-retail industries. Leveraging deep industry insights and advanced technology, Esmartwave has developed a "1+3+N" business model (data middle platform + (consumers, channels, brand campaigns) + N operational scenarios) to deliver comprehensive marketing technology services for brands.

As a leading provider in end-to-end intelligent marketing, Esmartwave has achieved process automation across operations, finance, and technology departments through close collaboration with Automa RPA, significantly improving data processing efficiency and business responsiveness. The company has deeply optimized scenarios such as O2O full-platform campaign submission, data collection and analysis, and financial settlement, effectively addressing pain points like low manual efficiency and insufficient data accuracy. Currently, Esmartwave applies RPA technology in multiple business scenarios, saving over 1,440 labor hours per month and providing clients with more efficient and precise marketing technology services.

Operational Statistics

  • 400+ developed applications

  • 17,000+ hours of application runtime

  • 11,000+ person-days of labor saved

Achieved Results

  1. Automated campaign submission across all platforms, saving over 200 labor hours per month

  2. Automated data collection and analysis, improving efficiency by approximately 370 hours per month

  3. Automated financial settlement, saving 81 labor hours per month

  4. Dynamic task invocation, enhancing system integration efficiency

Covered Teams

Operations, Finance, Customer Service, Merchandising

Covered Scenarios

  1. Operations: Data scraping (orders, campaigns, advertising data), campaign submission and reporting, budget monitoring, daily/weekly report refresh

  2. Finance: Bill downloading and processing, reconciliation, settlement document generation, invoice issuance and verification

  3. Customer Service: Coupon activation and management, WeChat group announcement maintenance

  4. Merchandising: Product data download, sales analysis, inventory monitoring

Automa Deliverables

Challenge 1

Manual configuration for O2O and other full-platform campaign submissions is inefficient and prone to errors, which can lead to operational incidents.

Solution 1

A unified submission template is filled by the client team; RPA automatically completes the submission, with manual review for confirmation.

Campaign Submission Automation
Challenge 2

Customer service staff handle a large volume of data reports in various formats daily, resulting in repetitive work and inevitable manual errors.

Solution 2

Schedule daily backend logins to download or scrape data, store it in a designated NAS drive, log into PBI to refresh and generate reports, and send them to specified recipients.

Data Report Automation
Challenge 3

Monthly financial settlement requires collecting and organizing large amounts of information into settlement and receipt documents for clients, making the process tedious and inefficient, and placing high demands on settlement staff.

Solution 3

Standardize the settlement process and use RPA to automate the collection, organization, and delivery of settlement documents.

Financial Settlement Processing Automation

通过 AI 驱动的自动化,释放企业增长潜力

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