Computools empowered a global retailer with a centralised platform, Reenox, to streamline product management, data analysis and trading on the marketplace. This user-friendly tool boosted efficiency and unlocked valuable insights, propelling the marketplace’s success.
Our client is the largest retail shop chain in the United States, founded in the 1960s. The company is headquartered in Arkansas, USA. In 2022, it generated over $500bn in revenue. It operates in countries such as the US, Mexico, Canada, China, Japan, the UK, India, Brazil, and South Africa.
Their mission revolves around making everyday shopping convenient and accessible for people worldwide. They aim to offer a wide range of high-quality products at competitive prices, catering to diverse customer needs and preferences.
Routine tasks such as data collection and inventory management took up much time and resources. The client did not have a single platform to manage all aspects of their marketplace, resulting in inconsistency and decreased productivity. They could not also collect and analyse product data in real-time, making it difficult to make informed decisions and optimise their marketplace strategy.
Reenox offers the global retailer a powerful solution for trading, product management and data analysis within their marketplace. By leveraging API capabilities and advanced analytics tools, Reenox enhances operational efficiency, drives informed decision-making and positions the client for future growth.
Streamlining operations led to a 20% increase in overall productivity, allowing our client to handle more transactions and manage their marketplace more efficiently. Reenox’s real-time inventory tracking and analysis helped reduce stock-outs and overstocking, further increasing profits.
The client, seeking to maximise their marketplace’s potential, explored various avenues to streamline workflows and generate revenue. They experimented with manual methods and different software solutions, but these approaches fell short. Their core challenge was finding a solution to efficiently handle their specific data needs and integrate seamlessly within their existing infrastructure.
They discovered Computools through our reputation for excellence in online platform development. Our proven track record and expertise attracted their attention. To ensure they were making the right choice, Walmart conducted a thorough selection process. This included evaluating proposals from other potential partners, a test project to assess our technical capabilities, and a design evaluation to verify our ability to meet their user experience expectations.
The client team appreciated our transparent communication and agile approach. We kept them closely involved throughout the development process, ensuring the final product aligned perfectly with their vision. This collaborative approach fostered trust and ensured a smooth and successful project journey.
Our design objectives in this case, were to create a user-friendly, functional, and intuitive trading platform.
Tailored interfaces for sellers, store owners, and regular platform users
Intuitive navigation highlighting trading, product management and analytics section
Detailed wireframes for each page, emphasising user-friendly design
A visually appealing and ergonomic interface offering a seamless user experience.
VueJS
VueJS was chosen for its flexibility, ease of learning and rich library ecosystem. VueJS allows you to create high-performance, responsive interfaces, which was especially important for this project.
NodeJS
NodeJS is an open source platform built on JavaScript that is ideal for building scalable, high-performance web applications. NodeJS is asynchronous, which makes it an ideal choice for applications where large amounts of data need to be processed.
Golang
Golang is a programming language that has high performance and memory efficiency. Golang was chosen to develop some services where high performance was required.
PostgreSQL
PostgreSQL is a robust, scalable and relational open source database. It has a rich feature set, such as JSONB support, which was essential for this project.
BigQuery
BigQuery is a cloud-based data warehouse from Google that enables efficient processing of large amounts of data. BigQuery was chosen because of its ability to process large amounts of data quickly and scalably.
Kafka
Kafka is an open source distributed messaging system. Kafka was chosen to provide reliable and scalable data transfer between different components of the system.
We chose the Scrum methodology to ensure effective project management, guaranteeing high speed of development, quality and customer satisfaction. It involves developing the product in short iterations (sprints), which allows the team to regularly demonstrate intermediate results to the client and receive feedback to adjust the next steps.
Our company chose Computools as a development partner because of their impressive expertise and reputation in the field of online platform development. The involvement of key figures from our side, such as the CTO and Head of Product, who evaluated and compared potential service providers in detail, was important. The selection process included a test project and design evaluation. Computools stood out for their ability to meet our needs and deliver a comprehensive and effective solution.
Our team collaborated with the client, a leading global fashion retailer. We developed a platform with three key workspaces that enabled real-time data synchronization, PLM system integration, and improved team collaboration. The solution accelerated garment creation, enhanced team cooperation, improved decision-making, and increased profitability.
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