Integrating RPA in E-Commerce Live Streaming Sales: A Case Study

of YingDao RPA

Yezhuo Li

School of Economics, Shanxi University of Finance and Economics,030006, Taiyuan, China

Keywords: RPA, Live Streaming, E-Commerce, YingDao.

Abstract: With massive inflows of live-stream viewers, e-commerce enterprises face significant challenges in managing

vast data volumes through manual labor alone. In the current landscape of accelerated information iteration,

failure to promptly process critical data may expose live-streaming e-commerce businesses to financial losses

or severe operational setbacks. Consequently, there exists an urgent industry demand for technological

solutions capable of enhancing operational efficiency, reducing labor dependency, and refining workflow

precision. Robotic Process Automation (RPA), having undergone extensive maturation over years of

development, has demonstrated widespread applicability across multiple sectors, liberating substantial human

resources from repetitive tasks. This raises a pivotal question: Can RPA technology effectively empower

office operations in live-streaming e-commerce enterprises? This article selects YingDao RPA in China as

the research object, and through analyzing specific cases of providing technology to some live streaming e-

commerce enterprises, the author finds that RPA technology can replace some human resources in the process

of live streaming e-commerce office work, helping live streaming e-commerce enterprises improve office

efficiency, reduce costs and increase efficiency. The results of this study provide reference for the healthy

development of the e-commerce live streaming industry.

1 INTRODUCTION

The proliferation of mobile internet and the

accelerated advancement of 5G technology have

catalyzed the exponential growth of the live-

streaming e-commerce sector, which has solidified its

position as a core engine of China’s new consumption

era (Li, 2025). To enhance operational efficiency and

refine workflow precision, e-commerce enterprises

are increasingly seeking digital tools to augment

office operations. In response to the demand for

automated workflows, a proliferation of intelligent

software solutions has emerged. Among

these, Robotic Process Automation (RPA)—a

technology integrating automation and artificial

intelligence (AI) to deploy software robots or “digital

workers” for executing repetitive, rule-based business

processes—has gained prominence. RPA bots

operate by mimicking human-user actions through

preconfigured protocols, thereby automating

procedural tasks (Gao, 2020). Having evolved

through iterative advancements, RPA technology has

https://orcid.org/0009-0000-8841-4352

achieved widespread adoption across industries,

replacing labor-intensive manual operations,

liberating substantial human resources, and

significantly enhancing corporate operational

efficiency (Song and Li, 2022). This raises a critical

inquiry: Can RPA technology deliver operational

benefits to the nascent live-streaming e-commerce

sector?

YingDao RPA, a flagship RPA software brand

under Hangzhou Fork Intelligence Technology Co.,

Ltd., specializes in robotic process automation for

diverse sectors including e-commerce, finance,

internet services, academia, manufacturing, logistics,

and telecommunications. As a leading provider

serving over 10,000 enterprises, YingDao RPA holds

a pivotal position within the RPA technology

ecosystem. This study selects YingDao RPA as the

research subject, employing empirical case analysis

of its technical implementations for live-streaming e-

commerce enterprises. The findings aim to provide

actionable insights for stakeholders in the live-

streaming e-commerce industry, demonstrating how

290

Li, Y.

Integrating RPA in E-Commerce Live Streaming Sales: A Case Study of YingDao RPA.

DOI: 10.5220/0013842900004719

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 2nd International Conference on E-commerce and Modern Logistics (ICEML 2025), pages 290-295

ISBN: 978-989-758-775-7

RPA integration can optimize workflows, reduce

operational redundancies, and foster scalable growth

(YingDao, 2025).

2 THE DEVELOPMENT OF

ROBOTIC PROCESS

AUTOMATION TECHNOLOGY

The evolutionary trajectory of Robotic Process

Automation (RPA) technology can be categorized

into four distinct developmental phases.

2.1 Assistive RPA

During this initial stage, RPA functioned as an

auxiliary tool to support manual operations, primarily

assisting human workers in basic data entry tasks.

2.2 Non-Assistive RPA

The subsequent phase witnessed the emergence of

non-assistive RPA, which aimed to achieve end-to-

end automation and virtual workforce tiering.

Technologies in this stage partially liberated human

labor by automating rule-based, repetitive workflows.

2.3 Autonomous RPA

Advancing further, autonomous RPA integrated

perceptual technologies to partially acquire external

knowledge, enabling the automated processing of

unstructured data within documents. This phase

marked a shift toward semi-intelligent automation

(Zhang and Yang, 2022).

2.4 Cognitive RPA

The current pinnacle of development lies in cognitive

RPA, which represents the future direction of the

technology (Ma et al., 2021). As show in Figure 1, by

leveraging modern technologies such as artificial

intelligence (AI), cognitive RPA transcends

procedural automation, achieving the capacity to

automate prolonged and intricate tasks through

adaptive learning, contextual analysis, and decision-

making emulation (Gao and Shi, 2024).

Figure 1: The evolutionary trajectory of RPA (Photo credit:

Original).

3 CURRENT DEVELOPMENT

STATUS AND CHALLENGES

OF LIVE-STREAMING E-

COMMERCE INDUSTRY

On October 11, 2024, the research findings of

the Blue Book on High-Quality Development of the

Live-Streaming E-Commerce Industry (2023–

2024) (hereinafter referred to as the "Blue Book")

were officially released in Shanghai, China. The Blue

Book reveals a sustained increase in the user base of

China’s live-streaming e-commerce sector. As

illustrated in Figure 2, the penetration rate of live-

streaming e-commerce surged from 4.9% in 2019 to

30.4% in 2022, reaching 37.8% in 2023—a year-on-

year growth of 24.3%. Meanwhile, the user scale

continued its upward trajectory, reaching 597 million

individuals by December 2023, accounting for 54.7%

of China’s total internet users and marking a 15.9%

annual increase, thereby demonstrating robust and

consistent growth. According to projections, the

transaction volume of China’s live-streaming e-

commerce industry is anticipated to exceed RMB 8

trillion by 2026. These metrics collectively indicate

that the live-streaming e-commerce sector will

remain a pivotal driver of economic activity,

sustaining its dynamic growth trajectory for the

foreseeable future (China News, 2024; Anonymous,

2024).

Figure 2: Current development status and future projections

of china’s live steaming E-commerce industry (Photo

credit: Original).

With the rapid development of the e-commerce

livestreaming industry, a series of challenges have

emerged across its operational chain. From the

supply-side perspective, e-commerce livestreaming

enterprises face escalating operational costs due to the

multi-platform deployment of brands and

discrepancies in platform-specific regulations.

During the price competition phase, disorderly

pricing and malicious competition among agents have

Integrating RPA in E-Commerce Live Streaming Sales: A Case Study of YingDao RPA

291

resulted in consumer rights issues arising from

discrepancies between advertised and actual

transaction prices. On the demand side, the volatility

of online trends creates significant obstacles in

identifying trending products and formulating

effective product selection strategies. The industry's

nascent growth has attracted numerous entrants with

limited operational experience, manifesting in two

primary dilemmas: the market exhibits a polarization

of talent distribution, where hosts demonstrate

varying levels of expertise, while top-tier influencers

command prohibitively high costs coupled with

stringent requirements for Return on Investment

(ROI) from livestreaming enterprises. Concurrently,

enterprises grapple with the substantial challenges

posed by massive order volumes during livestreaming

events. These systemic issues permeate all

operational phases of livestream commerce, and the

absence of effective solutions has hindered the

progress of numerous enterprises within this sector

(He, 2024).

4 THE APPLICATION OF

YINGDAO RPA IN THE E-

COMMERCE LIVE

YingDao RPA implements a cloud-based centralized

governance framework for automated task

orchestration through the creation, administration,

and monitoring of user-defined automated

workflows. Equipped with autonomous real-time

monitoring capabilities, the system dynamically

detects operational anomalies and system events,

executing predefined responses via embedded logical

processing modules. Furthermore, it incorporates

role-based access control mechanisms with audit

trails to ensure compliance in application ecosystems.

In livestream e-commerce contexts, YingDao RPA

enables multidimensional automation.

4.1 Product Lifecycle Management

The system facilitates cross-platform data

aggregation to monitor storefront performance and

merchandise sales metrics. Enterprises can automate

product listing optimizations through customizable

rule engines, including dynamic information updates

(titles, product imagery, inventory levels) and

algorithmic management of promotional campaigns

(automated enrollment, price adjustments, discount

configurations). This operational paradigm

significantly enhances procedural efficiency and data

integrity in product stewardship.

4.2 Merchandise Selection

Optimization

YingDao RPA employs public-domain platform

crawlers (Kuaishou, Douyin, T-mall, Xiaohongshu)

to harvest trending product metadata, subsequently

transforming raw datasets into interactive data

visualization dashboards via GUI-based analytics.

This methodological innovation resolves the endemic

challenge of cross-platform data fragmentation,

empowering enterprises to refine resource allocation

strategies and capitalize on emergent consumption

trends through holistic market insights.

4.3 Price Governance Mechanism

The platform institutionalizes a tripartite price control

protocol:

Price monitoring: Automated cross-platform price

surveillance via mobile shopping interfaces.

Documentation: Algorithmic evidence

preservation through price benchmarking and

screenshot archiving.

Formal notification: Auto-generated pricing

violation reports (structured by store identity,

transaction price, timestamp) dispatched to non-

compliant merchants.

This systematic approach effectively mitigates

pricing discordance caused by malicious markup

practices.

4.4 KOL Management Ecosystem

As the operational linchpin of livestream commerce,

Key Opinion Leaders (KOLs) selection critically

determines brand amplification efficacy and sales-

conversion synergies. YinDao RPA constructs talent

databases through native APIs or third-party

analytics, automatically harvesting KOL

performance metrics (e.g., Xingtu backend data)

across predefined dimensions. Enterprises execute

targeted KOL screening via parametric filters within

unified interfaces. Additionally, the platform

pioneers unmanned livestreaming solutions through

RPA-driven operational takeover, achieving 72%

reduction in human resource expenditures for live

room management.

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5 THE OPERATIONAL

EFFECTIVENESS OF

YINGDAO RPA IN LIVE

STREAMING E-COMMERCE

INDUSTRY

YinDao RPA, as a leading provider of Robotic

Process Automation (RPA) solutions, addresses

critical pain points in the e-commerce livestreaming

industry through systematic technological

interventions.

5.1 Unified Cross-Platform Data

Integration Framework

Emerging livestream e-commerce enterprises face

operational complexities stemming from multi-

platform deployment, including fragmented data

acquisition, decentralized resource allocation (e.g.,

advertising budgets), and labor-intensive cross-

platform management. Manual processes prove

inadequate for real-time synchronization given the

exponential growth of daily content output (e.g., 300%

YoY increase in SKU updates across major

platforms).

Gongfu Biotech (Chongqing), a vertically

integrated biotechnology enterprise specializing in

cosmetic innovations (R&D, production, distribution),

exemplifies this paradigm. By deploying YingDao

RPA-driven solutions, Gongfu achieved:

(1) Algorithmic data harvesting: Automated

extraction of advertising metrics, live stream analytic

(viewership, user engagement), and conversion rates

across platforms.

(2) End-to-end data integration: Systemic

embedding of operational intelligence into business

workflows.

(3) Quantifiable outcomes: The achievements are

mainly reflected in three aspects. Firstly, more than

520 automated applications have been deployed;

Secondly, the accumulated operating hours are over

12000; The third is to save 7800-person days of

human resources.

Luo Weicai, Chief Information Officer of Gongfu

Cosmetics, emphasized: "YinDao RPA has catalyzed

operational metamorphosis through three strategic

axes: (1) automated business intelligence acquisition

and analytics, (2) procedural optimization via robotic

task execution, and (3) predictive monitoring systems.

This tripartite framework has generated substantial

temporal and labor cost efficiencies (40% reduction

in campaign management overhead), enabling

strategic reallocation of resources toward core

competency development and sustainable growth."

5.2 Automated Price Monitoring to

Prevent Malicious Bidding

Livestream e-commerce in the beauty category has

gained immense popularity among modern

audiences. In January 2025, Douyin platform's GMV

(Gross Merchandise Value) for this category showed

a 6.37% year-on-year increase. On Taotian platform,

the beauty sector achieved a total GMV of 16.394

billion yuan in January, while Kuaishou E-commerce

witnessed a 58% year-on-year growth in brands

exceeding 100 million-yuan sales in 2024. These

figures demonstrate the robust growth momentum of

beauty livestream commerce across major platforms.

As a category with tremendous growth potential, the

beauty sector faces increasingly severe price

disruption and disorder due to numerous merchants

vying for market entry.

Xiabao, a full-channel marketing service provider

specializing in beauty and personal care products,

manages multiple beauty brands. Wang Jiachao,

Manager of Xiabao's Information Management

Department, stated that beauty brands are particularly

vulnerable to parallel imports and counterfeit

products. Excessively low prices from unofficial

channels can divert customers, damaging both brand

pricing systems and distributor trust. Therefore,

unified price control remains an essential task for

every brand.

After implementing Yingdao RPA, as shown in

the diagram, Xiabao can automatically access

multiple pre-registered e-commerce platform

accounts containing different product links through

RPA programs. By simply proceeding to checkout

immediately, the system batch-collects final

consumer prices for price violation verification. Post-

implementation, the RPA robots complete 3-5 daily

cycles of price monitoring, each requiring only about

40 minutes - reducing the time by over 50% compared

to manual operations. This replaces the previous

maximum of one manual daily cycle that handled

price inspections for 200 links across multiple

platforms. The automated solution not only enhances

efficiency, frequency, and accuracy but also enables

scheduled operations, including random price checks

during late-night hours when manual monitoring

proves difficult. This comprehensive approach

maximizes brand protection against price chaos.

Integrating RPA in E-Commerce Live Streaming Sales: A Case Study of YingDao RPA

293

5.3 Combined Deployment of Virtual

and Human Hosts to Reduce Time

and Operational Costs

For emerging e-commerce live streamers or

enterprises lacking established audience bases,

human-hosted livestreams present challenges of time

consumption, high costs, and low efficiency.

Unmanned livestreaming utilizing RPA virtual hosts

effectively liberates human resources, enabling teams

to focus on user conversion during traffic peaks.

Bai Xiao T, an IP-oriented T-shirt brand under

Thumb Wardrobe (Zhejiang) Apparel Technology

Co., Ltd., was established in 2019 in Ningbo,

Zhejiang Province. It represents one of China's few

apparel brands successfully implementing private

domain strategies and new retail positioning.

By employing Yingdao RPA robots with

preconfigured templates (see Table 1), the system

automatically recommends products, records product

explanations, and responds to viewer comments,

achieving fully unmanned livestream operation.

Furthermore, through Yingdao's AI Power product,

the RPA robots utilize artificial intelligence search

engines to directly access corporate knowledge bases,

delivering query results within 1 second.

Table1: Pre-prepared forms for operation

Product ID

Top Placement

Time

Top Placement

Termination time

100002834556 310 560

100002834557 680 990

100002834558 1170 1395

100002834559 1585 2320

100002834560 2430 2630

100002834561 2620 3210

4300 3550

Through continuous optimization of its

unattended live streaming system, the company Bai

Xiao T has successfully liberated two personnel from

repetitive tasks, enabling 24/7 cyclical broadcasting.

Empirical data demonstrates that this automated

solution achieves approximately 50% of the

conversion effectiveness compared to human-hosted

live streams, generating sales revenue ranging from

100,000 to 250,000 yuan. This technological

implementation has realized optimal traffic

monetization while maintaining operational costs at

zero expenditure level, particularly noteworthy being

its breakthrough in generating 100,000-yuan sales

revenue without incremental cost investment.

6 CONCLUSIONS

By analyzing specific cases of technical cooperation

between YinDao RPA and relevant live-streaming e-

commerce enterprises, this paper reveals the

significant application value of RPA technology in

live-streaming e-commerce. Data indicates that RPA

technology can assist live-streaming e-commerce

enterprises in reducing costs and enhancing

efficiency. In specific operational scenarios, these

enterprises can effectively utilize RPA technology to

replace manual operations, thereby decreasing human

resource expenditure while improving office

efficiency and refining work details. The author

believes that in this era of rapid e-commerce

development, RPA technology will gain more

extensive and comprehensive applications in

emerging live-streaming e-commerce enterprises and

other industries, with its potential requiring continued

exploration.

This study solely focuses on YinDao RPA and its

cooperative enterprises as research subjects, resulting

in relatively limited case selection. Moreover, the

paper does not address RPA's role in other domains

of live-streaming e-commerce, nor does it examine

enterprises that achieved insignificant results or even

experienced performance regression through RPA

implementation. Future research should prioritize

these aspects, incorporating analyses of different

RPA technology providers and their corresponding

enterprises.

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