Mercari is a leading consumer-to-consumer (C2C) marketplace that enables users to buy and sell second-hand goods, ranging from clothing and electronics to collectibles and furniture. As one of the largest C2C platforms, Mercari required a robust and scalable technical solution to manage millions of daily transactions, ensure a smooth buying and selling process, and enhance the user experience with personalized search capabilities.
Mercari faced several key challenges that required advanced technical solutions
With millions of active users conducting transactions daily, Mercari needed a scalable cloud infrastructure capable of handling high traffic loads and transaction volumes. The platform needed to maintain high availability and seamless performance, even during peak activity times.
Mercari’s marketplace features millions of listings across various categories, making it essential to have a powerful search engine that allows users to discover relevant products quickly. The platform required an intelligent search algorithm that could handle large datasets, index products efficiently, and provide personalized results based on user preferences and search history.
As a marketplace, Mercari needed to ensure real-time transaction processing, including payments, order confirmations, shipping updates, and customer service workflows. The platform required integration with multiple payment gateways and shipping providers, as well as the ability to handle disputes and refunds efficiently.
With the rise of competition in the C2C market, Mercari needed to provide personalized recommendations and engagement strategies to retain users. This included building a recommendation engine and push notification system to keep users engaged and encourage repeat transactions.
Amplework Software provided a complete end-to-end solution for Mercari, focusing on scalability, search optimization, real-time transaction management, and personalized user engagement.
We implemented a scalable cloud infrastructure using Google Cloud Platform (GCP) to ensure high availability and automatic scaling during traffic spikes. Kubernetes clusters were set up to manage microservices architecture, allowing each component of the marketplace—such as search, transactions, and user management—to scale independently based on user demand.
To enhance Mercari’s search capabilities, we integrated Elasticsearch, which provided efficient indexing and searching across millions of product listings. Elasticsearch’s full-text search capabilities allowed users to quickly find relevant items, while its ability to handle large-scale data ensured fast search results even as the platform expanded. We also developed personalized search filters based on user preferences and past interactions.
We integrated Mercari’s platform with multiple payment gateways, including PayPal and Stripe, to handle real-time transactions securely. The platform was optimized for real-time order processing, shipping updates, and tracking. Additionally, we built an automated system for handling disputes and refunds, ensuring smooth resolution and user satisfaction.
To improve user retention and engagement, we developed an AI-powered recommendation engine that analyzed user behavior, past transactions, and product preferences. This engine delivered personalized product recommendations, helping users discover relevant items based on their interests. We also implemented a push notification system that kept users updated on new product listings, price drops, and special offers.
We migrated Mercari’s platform to Google Cloud Platform (GCP), leveraging Kubernetes clusters to orchestrate and scale the platform’s microservices architecture. This allowed different services—such as the product catalog, search, transactions, and user profiles—to scale independently, ensuring consistent performance even during high-traffic periods.
To enhance search functionality, we integrated Elasticsearch into Mercari’s marketplace. Elasticsearch’s distributed search capabilities allowed for fast indexing and querying of millions of product listings. We implemented custom search filters and ranking algorithms to improve search relevance, providing users with personalized results based on their preferences and past activities.
We integrated multiple payment gateways, including PayPal and Stripe, to handle real-time payments and ensure secure transactions. The platform supported real-time order processing and shipment tracking, with integration to third-party logistics providers. We also implemented automated systems for managing returns, refunds, and customer disputes, streamlining the transaction process for both buyers and sellers.
We developed an AI-driven recommendation engine that analyzed user behavior and transaction history to deliver personalized product suggestions. The recommendation engine was integrated with Mercari’s homepage, search results, and notifications, ensuring that users received relevant and timely recommendations. Push notifications were also implemented to keep users informed about new product listings and price changes.
A CI/CD pipeline was established to support continuous updates and new feature releases without disrupting the user experience. Automated testing and real-time performance monitoring tools were integrated to ensure platform stability and address any issues proactively.
Amplework Software’s technical solutions allowed Mercari to scale efficiently while improving the overall user experience
Improvement in Search Speed and Relevance
With Elasticsearch integration, Mercari’s search functionality became faster and more accurate, leading to a 60% improvement in search response times and increased relevance of search results.
The cloud infrastructure and real-time transaction processing systems ensured 99.9% uptime, even during periods of high user activity. Mercari’s payment systems handled large volumes of transactions securely, leading to higher user satisfaction.
Uptime with Seamless Transaction Management
The AI-powered recommendation engine and personalized notifications led to a 35% increase in user retention, as users engaged more with the platform and discovered new products that matched their preferences.
Increase in User Retention
The scalable infrastructure and optimized transaction management system allowed Mercari to handle a 40% increase in transaction volume, supporting the platform’s rapid growth without compromising performance.
Growth in Transaction Volume
Success Stories with Our ai Solutions
Here are a few examples of businesses that have successfully transformed with our ai solutions:
Healthgrade
Led a digital transformation to improve
healthcare access and provider recommendations, enhancing user experience
and engagement.
Huggy
Integrated AI-driven chat capabilities to enhance
customer communication management and streamline responses for
businesses.
FemoMeter
Developed an AI-powered platform for women's
health tracking, providing real-time insights and personalized
recommendations.
Healingmap
Implemented a data-driven platform connecting
users with psychedelic therapy providers, enhancing accessibility and user
engagement.
GlampingHub
Transformed GlampingHub’s booking platform to
enhance user experience and streamline the booking process for luxury
camping.
Loxclub
Created a scalable membership-based platform for Lox
Club to facilitate meaningful connections among users.
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