1. Introduction
In recent years, Chinese e-commerce industry has become more popular and more creative compared to 10 years ago [1]. While the total industry has experienced exponential growth, Pinduoduo has emerged as a disruptive force with its innovative group-buying model and focus on offering prices lower than other platforms. Unlike its rivals, Pinduoduo emphasizes social interaction and affordability, which make it attractive during the era of “consumption downgrade.” While several studies have participated in the field of business models and logistics efficiency of major e-commerce players, there are still limited research has specifically address Pinduoduo’s financial strategy and development prospect, especially on the part of credit risk management and financing structure [2].
This paper aims to explore Pinduoduo’s market prospects from a financial perspective, this paper will be focusing on the following research questions: 1) how does Pinduoduo structure its capital and create their own financing strategies support its rapid expansion? 2) What financial risks does it face under the market competitions especially in aspects of credit risk and consumer financing? 3) What financial innovations and strategic adjustments can enhance its sustainability in the evolving digital economy?
This study combines both research method of case study analysis and literature review. Through detailed examination of Pinduoduo’s financing tool, such as consumer credit products, this paper compares Pinduoduo with other major e-commerce platforms.
The significance of this study lies in its contribution to understanding financial innovation in digital platforms. By focusing on a new generation platform like Pinduoduo, it provides practical implications for academic research and offers insights for policymakers, platform operators, and investors for structuring the platform in a more stable way.
1.1. Capital structure and financing models of e-commerce platforms
Pinduoduo’s financing trajectory has 2 obvious characteristics: First, Pinduoduo focus on equity financing, which is helpful for establishing market confidence and lead to a rapid capital expansion. For example, according to Bloomberg [2]. Pinduoduo went public on NASDAQ (National Association of Securities Dealers Automated Quotations) and achieved a valuation of over $24 billion on the first day of trading. Through equity financing, Pinduoduo not only get a huge amount of financial support, but also elevated brand’s influence and enable to the growth of user’s amount and technology investment. Second, Pinduoduo introduce innovative financing tools such as convertible bonds and structured financing tools. In 2021, Pinduoduo published 1.8 billion in the convertible senior notes with a 5 years term [2], allowing bondholders to convert debt into equity in the future. This strategy reduce the pressure of short-term repayment and keep its balance sheet flexible.
Beyond traditional financing methods, some researchers argue that e-commerce platforms themselves are increasingly becoming financial service providers. Huang and his colleague suggest that platform-based financing is increasingly preferred by medium-sized and capital-limited retailers. Compared to trade credit financing offered by manufactures, e-commerce platform financing enables higher supply chain profit and order volumes when platform commissions are low and margins are high [3].
For example, on Pinduoduo’s livestream channels, agricultural sellers are often granted small credit lines based on project order volumes, helping them to pre-purchase materials or schedule production. This “order+ pre-order” model boosts fulfillment capability and risk resistance. As part of its “New Brand Initiative”, Pinduoduo integrates user behavior data and provide insights for the manufactures. This is a preliminary for of supply chain finance, where the platform uses is vast datasets to reduce information asymmetry between production and sales.
For instance, Pinduoduo has cooperated with banks like SPD and WeBank to provide a product called “Order Loan”, which calculate the merchant credit score automatically and match with a dynamic credit limit based on dimensions such as product sales, user reviews, and return rates. Under this formula, credit rates are significantly lower than traditional small business loans. This not only alleviates financing difficulties faced by small and medium-sized business but also strengthens the merchant-platform relationship.
These practices align closely with findings of Chew, who suggest that AI-driven risk models can improve the precision of credit assessments in e-commerce by detecting patterns in user’s data [4]. Pinduoduo is transforming “data assets” into “credit assets” in order to evolve to a “data-driven credit facilitator”.
In addition, Pinduoduo’s financing strategy is also linked to its market position. By targeting price-sensitive users in lower-tier cities, the platform prioritized traffic acquisition in early stage and even willing to sacrifice profits for it. For example, in 2018, Pinduoduo reported over 10 billion in losses [2]. However, as advertising and financing services matured, the platform began improving revenue diversification and operational sustainability.
1.2. Financial product innovation of e-commerce platforms: the case of “Duoduohua”
Duoduohua is a consumer credit product launched by Pinduoduo for consumers, with funding primarily provided by partner banks while Pinduoduo manages data risk control and traffic allocation. This product offers Pinduoduo users with a “consume first, pay later” shopping experience. Its model is similar to Alipay’s “Huabei” or Jingdong’s “Baitiao”, but its target users are more inclined to the user groups in third- and fourth-tier cities with weak credit foundation and insufficient income.
This product exhibit several key innovations. First, it accurately targets lower-tier users and meeting “marginal credit needs”. Compared with Huabei that aimed at young white-collar workers in first- and second- tier cities with mature credit systems, Duoduohua is more inclined to provide basic consumer credit to rural areas and low- or middle- income groups [1]. Pinduoduo builds user portraits based on shopping behavior, device type, and address to provide personalized credit limits. Second, when users are shop, the system will automatically prompt “Duoduohua is available”, and click to complete the “interest-free installment” consumption, which reduces the psychological burden of users and stimulates repeat purchases. According to Pinduoduo’s financial report data, since Duoduohua is launched in 2021, the average customer unit price of monthly active users has increased by approximately 17%. (Based on platform data modeling and AI-driven risk prediction methods described in Chew et al., consumer behavior in Pinduoduo’s credit product “Duoduohua” is segmented and evaluated using machine learning approaches) [4]. Third, Pinduoduo does not derectly provide loans. Instead, funding is provided by partner banks, while the platform supplies data and risk models. It earns revenue from referral commissions. This “tech-light, data-heavy” model enables rapid scaling with minimal capital risk.
Pinduoduo’s financing structure and financial innovation path reflect a broader trend: e-commerce platforms have evolved from “transaction matchmakers” to “data credit intermediaries”. In terms of financial products, Duoduohua not only stimulates consumer demand but also represents the integration trend of technology finance and inclusive finance.
2. Financial risk Pinduoduo is facing
2.1. Risk of competition in the e-commerce market
As the platform economy enters a mature and diversified stage, competition in the e-commerce sector has intensified. Market growth has slowed, shifting the industry’s focus to refined operations, making competition fiercer than ever. Although Pinduoduo has risen rapidly with “group buying + subsidies” model, it now face direct confrontation with Alibaba and JD.com.
First, the competition landscape of platforms is highly concentrated. Pinduoduo’s market value once surpassed JD.com in 2020, becoming the “second pole” after Alibaba, which means that it has become the target of Alibaba and JD.com’s key encirclement [5]. The three parties are engaged in three-dimensional competition in in dimensions such as user traffic, supply chain resources, logistics capabilities, etc. For example, Alibaba continues to strengthen its content e-commerce and financial payment advantages in the “Taobao+ Tmall+ Alipay” ecosystem, while JD.com consolidates the mid and high market with its self-operated model and JD Financial Platform. Although Pinduoduo has a price advantage and a solid foundation in the sinking market, it still has shortcomings in logistics services, brand awareness, and coverage of high-priced products.
Secondly, the threat from emerging platforms and cross-border players is intensifying. Content platforms such as Douyin and Kuaishou have entered the e-commerce field, building a closed loop of “content+ traffic+ transaction”, which has impacted Pinduoduo’s traditional text and image trading interface. At the same time, platforms such as ByteDance’s “Douyin Mall” have effectively shortened the user conversion path through live streaming and short video. If Pinduoduo fails to make timely arrangements in terms of content and diversified traffic sources, it may fall into the risk chain of “user loss-decline in transactions-limited financing”.
Furthermore, Pinduoduo’s cross-border expansion via TEMU faces stiff competition from established players like Shein and Amazon. The high logistic costs, complex payment systems and low user loyalty in abroad markets make cross-border expansion face a high risk-return ratio. Without sufficient capital and technical support, it is easy to fall in to the dilemma of “high investment and low return.”
2.2. Credit risk
Due to the frequent transactions, scattered users, and information asymmetry of e-commerce platforms, credit risk assessment is significantly more complex than in the traditional banking system.
Pinduoduo’s main credit risks include the following aspects: First, Duoduohua is a credit consumption product for users. In the loan process, it mainly relies on the user behavior model built by the platform and the risk pricing strategy of the cooperative financial institutions. However, in third-tier cities and lower-tier regions, the user groups have weak financial knowledge, unstable income, and lack of perfect credit records, which makes them prone to overdue payments and defaults under the influence of economic downturns or emergencies. According to relevant model calculations, the platform needs to comprehensively consider user consumption frequency, shopping categories, return behavior, complaint history and other indicators, and use AI algorithms such as random forest or fuzzy neural network to conduct credit scoring. However, as noted by Lina Wang and Hui Song, if the model parameters are not adjusted dynamically or there is a risk of overfitting, it may lead to excessive credit for high-risk users, ultimately increasing the non-performing asset ratio [6].
Second, Ruyi Wang highlights that the credit evaluation system of platform for merchants generally has problem of “post-position and fuzziness”, meaning it lacks robust pre-review and accurate identification [5]. Especially in the stage of rapid expansion, the platform is more inclined to sacrifice risk control in exchange for growth. Pinduoduo has been questioned by public due to the behavior of individual merchants selling counterfeit and shoddy goods and repeatedly registering to circumvent credit supervision. If these issues remain unresolved, they could erode user trust and platform’s credit rating in the long run, thereby limiting its ability to raise funds in the capital market and compliance of obtaining financial license.
3. Pinduoduo’s financial strategy and future development prospects
3.1. Future financial innovation and development directions of Pinduoduo
Pinduoduo’s financial innovations focus on consumer finance, supply chain finance, and payment system optimization. According to its financial reports, Pinduoduo’s third-quarter revenue in 2020 reached $2.19 billion, an 89% year-on year increase, demonstrating the impact of its financial initiatives [2].
First, in consumer finance, Pinduoduo launched Duoduohua, which initiative increased transaction volumes and improved user retention. Compared to Ant Group’s Huabei and JD’s Baitiao, Duoduohua targets lower-tier city users with limited credit history and promoting financial inclusion [1]. Future development should improve AI-driven credit assessment models to minimize default risks and increase financial inclusivity.
Second, regarding payment systems, Pinduoduo currently relies on WeChat Pay and Alipay. However, research suggests that launching its own payment platform, “Pinduoduo Pay”, could reduce reliance on third-party providers and improve transaction efficiency [7]. Furthermore, expanding cross-border payment capabilities will be essential for TEMU’s global growth strategy.
3.2. Capital market prospects and strategic adjustments
Pinduoduo’s capital market outlook is shaped by its competitive positioning, regulatory challenges, and profitability adjustments. Several factors influence its future capital strategy.
First, market competition remains a challenge. While Pinduoduo’s GMV surpassed 15 billion dollars in 2019, its growth rate slowed to 73% in Q3 2020, reflecting increasing competition from Alibaba and JD.com [2]. Pinduoduo should diversify its offering by attracting premium brands and investing in logistics to match JD.com’s efficiency.
Second, regulatory risks are critical. Chinese authorities have tightened scrutiny on fintech activities, consumer lending, and data security, necessitating compliance adjustments [7]. Strengthening risk management and ensuring regulatory compliance will be essential for continued financial expansion.
Third, profitability improvements are necessary. Pinduoduo’s early strategy relied on aggressive subsidies resulting in losses exceeding 10 billion dollar in 2018. However, since achieving a net profit of 72 million dollars in Q3 2020, the company has shifted its focus toward revenue diversification, including advertising and financial services [2]. A secondary listing in Hong Kong or mainland could enhance capital liquidity and support future growth.
3.3. Strategic recommendations and policy advocacy
Based on Pinduoduo’s financial landscape, the following recommendations are proposed: First, by improving Duoduohua’s credit model with AI-driven risk assessments will reduce default rates and expand consumer credit access, in order to enhancing financial innovation and risk control [1]. Second, Pinduoduo should further integrate big data and block chain to enhance merchant financing and transaction security [2]. These technologies can improve fraud detection, ensure data transparency, and strengthen the platform’s credibility. Third, a secondary listing in Hong Kong or mainland China could attract more investors and provide additional financing for expansion [7]. And last, just like all other company should do, Pinduoduo should promoting green finance and corporate social responsibility. This means Pinduoduo can collaborate with financial institutions to support sustainable agriculture and eco-friendly supply chains in order to align with global trends in responsible investing [2].
4. Conclusion
Pinduoduo’s rapid rise in the Chinese e-commerce market is driven by its innovative financial strategies, including consumer credit products, supply chain financing, and strategic, including consumer credit products, supply chain financing, and strategic capital market maneuvers. By leveraging tools like Duoduohua, Pinduoduo expanded financial inclusivity for lower-tier consumers and small sized merchants. Additionally, its capital structure had allowed it to sustainable profitability remain significant challenges. To ensure long-term success, Pinduoduo must enhance financial risk controls, explore alternative revenue streams, and strengthen compliance with financial regulations. The company’s ability to balance growth with regulatory adherence and financial stability will determine its future competitiveness in the evolving digital economy.
While this study provides an in-depth analysis, there are some potential limitations. First, the discussion relies heavily on secondary resources, which may limit firsthand insights and practical investments of Pinduoduo’s internal strategies. Second, the analysis of regulatory risks could be expanded with more recent policy updates. Future studies could make a deeper comparison with global e-commerce platforms could further strengthen the argument.
References
[1]. Zhou, Z. (2021, March). Application of Customer Analysis Methods to Online Business Services—Take Pinduoduo for Example. In 6th International Conference on Financial Innovation and Economic Development (ICFIED 2021) (pp. 648-651). Atlantis Press.
[2]. Li, M., Tsai, C., & Tran, L. T. T. (2021, August). A Case Study of Pinduoduo Strategy Based on SWOT Analysis. In 1st International Symposium on Innovative Management and Economics (ISIME 2021) (pp. 337-346). Atlantis Press.
[3]. Huang, S., Du, B., Fan, Z. P., & Liu, Z. (2023). E-commerce platform financing versus trade credit financing: Financing mode selection for online retailer considering live-stream selling in China. Frontiers in Psychology, 13, 1078369.
[4]. Chew, J., Shen, Z., Hu, K., Wang, Y., & Wang, Z. (2025). Artificial Intelligence Optimizes the Accounting Data Integration and Financial Risk Assessment Model of the E-commerce Platform. International Journal of Management Science Research, 8(2), 7-17.
[5]. Wang, R. (2021, December). The Analysis of Competitive Business Strategy Among Platform Enterprises Like Taobao, Jingdong and Pinduoduo. In 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021) (pp. 2945-2950). Atlantis Press.
[6]. Wang, L., & Song, H. (2022). E‐Commerce Credit Risk Assessment Based on Fuzzy Neural Network. Computational Intelligence and Neuroscience, 2022(1), 3088915.
[7]. Chang, Y., Wong, S. F., Libaque-Saenz, C. F., & Lee, H. (2019). E-commerce sustainability: the case of Pinduoduo in China. Sustainability (Switzerland).
Cite this article
Pan,T. (2025). Research on the Market Development Prospect of E-commerce Platforms--- Taking Pinduoduo as an Example. Advances in Economics, Management and Political Sciences,181,9-14.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Zhou, Z. (2021, March). Application of Customer Analysis Methods to Online Business Services—Take Pinduoduo for Example. In 6th International Conference on Financial Innovation and Economic Development (ICFIED 2021) (pp. 648-651). Atlantis Press.
[2]. Li, M., Tsai, C., & Tran, L. T. T. (2021, August). A Case Study of Pinduoduo Strategy Based on SWOT Analysis. In 1st International Symposium on Innovative Management and Economics (ISIME 2021) (pp. 337-346). Atlantis Press.
[3]. Huang, S., Du, B., Fan, Z. P., & Liu, Z. (2023). E-commerce platform financing versus trade credit financing: Financing mode selection for online retailer considering live-stream selling in China. Frontiers in Psychology, 13, 1078369.
[4]. Chew, J., Shen, Z., Hu, K., Wang, Y., & Wang, Z. (2025). Artificial Intelligence Optimizes the Accounting Data Integration and Financial Risk Assessment Model of the E-commerce Platform. International Journal of Management Science Research, 8(2), 7-17.
[5]. Wang, R. (2021, December). The Analysis of Competitive Business Strategy Among Platform Enterprises Like Taobao, Jingdong and Pinduoduo. In 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021) (pp. 2945-2950). Atlantis Press.
[6]. Wang, L., & Song, H. (2022). E‐Commerce Credit Risk Assessment Based on Fuzzy Neural Network. Computational Intelligence and Neuroscience, 2022(1), 3088915.
[7]. Chang, Y., Wong, S. F., Libaque-Saenz, C. F., & Lee, H. (2019). E-commerce sustainability: the case of Pinduoduo in China. Sustainability (Switzerland).