nike

DigiMantra Boosts Nike's Conversion Rates by 40%.

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Nike, a global leader in the sports apparel industry, faced challenges in optimizing its inventory management system, including the need for senior developers and immediate resource allocation. To address these challenges, we provided Nike with senior Java developers who worked on various elements of the system, including inventory update events, code refactoring, data ingestion pipeline setup, optimization, load testing, and code reviews. With our help, Nike could start work immediately, exceeding expectations in efficiency and performance, while achieving significant cost savings.

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Challenge

Nike faced several challenges that hindered the optimization of its inventory management system.

1

Resource Constraints and Expertise Gap

Nike lacked the necessary resources and expertise to develop and optimize its inventory management system, leading to project delays and inefficiencies.

2

Complex Codebase

The company's existing codebase was complex and difficult to maintain, making it challenging to update and optimize the system.

3

Data Ingestion

Nike struggled to ingest and analyze its inventory data effectively, making it difficult to make informed business decisions.

4

Performance and Scalability Issues

The system's performance and scalability were concerns, as it was unable to handle high volumes of data and traffic.

5

Knowledge Transfer and Code Quality

Nike needed to ensure that its junior developers had the necessary skills and knowledge to maintain and update the system, and that the code was of high quality.

Solution

To address these challenges, we provided Nike with senior Java developers who worked on the following elements

solution

Inventory Update Events

Our developers handled inventory update events in the inventory management system, ensuring that the system was updated in real-time.

solution

Code Refactoring

We refactored the code according to design principles, improving the system's maintainability, scalability, and performance.

solution

Data Ingestion Pipeline

Our developers set up a data ingestion pipeline for inventory data into Elasticsearch (ES), enabling Nike to analyze and visualize its inventory data more effectively.

solution

Code Optimization

We optimized the existing code, reducing latency and improving the system's overall performance.

solution

Load Testing

Our developers conducted load tests to identify and address performance issues and scalability concerns, ensuring that the system could handle high volumes of data and traffic. Moreover, we performed code reviews and mentored junior developers, ensuring that the code was of high quality and that knowledge was transferred effectively.

Technical Approach

Our technical approach involved

1

Java Development

Our senior Java developers worked on the inventory management system, leveraging their expertise in Java to optimize the system's performance and scalability.

2

Elasticsearch (ES)

We used Elasticsearch (ES) as the data ingestion pipeline, enabling Nike to analyze and visualize its inventory data more effectively.

3

Agile Methodology

We adopted an agile methodology, working in sprints to deliver incremental value to Nike and ensuring that the project was completed on time and within budget.

Business Outcomes

By providing senior Java developers and adopting an agile methodology, we enabled Nike to overcome its challenges and achieve significant cost savings

outcome

Immediate Commencement of Work

We enabled Nike to commence work immediately, with our senior Java developers hitting the ground running. This swift start resulted in a 30% reduction in project timeline.

outcome

Cost Savings

By leveraging our cost-effective remote development model, Nike achieved $1.5 million in overhead and operational cost savings. This substantial reduction in expenses enabled the company to redirect resources towards strategic initiatives, driving further growth and innovation.

outcome

Efficiency and Performance

Our developers exceeded Nike's expectations, delivering faster code development and 40% improved system performance. The client praised our team members as impactful contributors, citing their exceptional skills and dedication.