E-commerce System Renewal Revitalizing E-commerce Through Efficient Price Optimization

– Working with Big Data: To offer a competitive price in the market, our client’s strategy is to scan the entire range of prices on the Internet and adjust the selling price daily. As a result, there is a vast amount of data that needs to be processed.

– Agile methodology: Our project was executed using agile methodology, with each cycle lasting a month.

Overview: The customer desires to make their e-commerce platform the most competitively priced e-commerce platform in the market. Our mission is to create a system that automatically updates the market price of each product and offers the most competitive prices every day.

– Solution: E-commerce
– Country: Japan.
– Technologies: JEE7:JSF, CDI, EJB, JPA, JAX-JS, Elastic Search, MapR-Hbase, Oracle.
– Team size: 20 People
– Duration: Since 2017

Our client, a dynamic company in the electronic components industry that sells computer chips and screws, has faced an increasing challenge in remaining competitive in the bustling electronics commercial landscape. They recognize the need to innovate operations and embrace modern technology to thrive in a market with rapid price fluctuations.

Developing a Competitive Edge with a Dynamic E-commerce Pricing System:

To stay ahead of the game, the client sought to create a system that could analyze pricing data across the entire market and adjust their e-commerce product prices dynamically. Their top priority was to design a state-of-the-art solution that could independently scan market prices daily and determine the most competitive price for each product. This would ensure that prices were updated regularly and kept current with the market.

01. Create a Robot that scans data and collects information: To directly address our customers’ challenges, we set out to create an advanced scanning robot. This robot will perform the important task of collecting large amounts of market data to offer competitive prices for products provided by customers. The robot’s robustness and autonomy are important considerations in designing an effective solution.

02. Technology: Elastic search has strengthened the system’s ability to efficiently search and retrieve data, ensuring seamless product pricing optimization. Choosing MapR-Hbase over a traditional database like Oracle solves the challenge of handling huge volumes of data. By using Hbase’s distributed storage and column-oriented architecture, we have optimized the speed of data retrieval and facilitated efficient management of large-scale data.

03. Big data processing: With the huge volume of data involved in market price analysis, we recognize the need for high-performance and scalable data processing infrastructure. Our team took on this challenge using MapR-Hbase, an industry-proven solution for managing large data sets, ensuring efficient data storage and retrieval.

Through strategic partnerships and innovative solutions, customers have achieved remarkable results:

– Automated market price optimization: Advanced scanning robots have revolutionized customer operations.

– By continuously reviewing market prices and updating product prices overnight, they can consistently offer competitive prices to attract customers and drive next-day sales.

– Efficient Big Data Handling: Our use of MapR-Hbase ensured that the system could handle vast amounts of data without affecting performance. This scalability allowed the client to maintain a competitive advantage even as data volumes increased.