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Transforming Retail Store Operations with Full Stack Development

  • New York City
  • Retail
  • 24 weeks
  • B2C
  • Angular, Node.js, MongoDB, AWS, Docker

Project Brief

For a top retail company, the project’s objectives were to provide a dependable and scalable full stack development that would boost consumer interaction, streamline inventory management, and improve store operations.

Client Background

The client is a well-known New York-based retail company with a focus on consumer electronics. To better manage their inventory, connect their online and offline operations, and improve customer experience, they needed a complete stack solution.

Key Challenges:

During peak hours, the current system could not effectively manage large numbers of transactions.
It was difficult to integrate many third-party systems for customer relationship management, logistics, and payment processing.
It was crucial to guarantee data security and adherence to rules governing the retail sector.
For the purpose of improving the shopping experience for customers, the user interface required major upgrades.

Solution:

1. Discovery and Planning

To fully grasp the demands of the customer, our team performed in-depth system assessments and stakeholder interviews. The creation of thorough procedures and user personas influenced the application design. To guarantee a disciplined approach to development, a thorough project plan was created, detailing dates and milestones.

2. Development

Establishing a safe development environment and transferring current data to the new platform marked the start of the implementation. The project was implemented in stages, with a trial launch conducted to evaluate the system's functionality and get user input. To provide smooth upgrades, continuous integration and deployment procedures were used. To guarantee that the client's operations staff adopted the system with ease, extensive training sessions were held.

3. Implementation

We launched the platform in phases, with a beta version available to a small group of users. This gave us the opportunity to get input and improve the platform before making it available to a larger audience. To guarantee a flawless experience for each and every bidder, we carried out extensive user testing and performance monitoring. We also gave the employees of the auction house thorough instruction on how to utilise the new platform.

Tools & Technology Used

Node.js

Backend

Angular

Frontend

AWS Logo

AWS

Cloud Services

Docker

Containerization

MongoDB

Database

Features:

Real-time Inventory Management

Real-time updates on inventory levels are provided by the system, which lowers the possibility of stockouts or overstocking and enables effective stock management. This function enhances order fulfilment accuracy and optimises warehousing operations.

Enhanced Customer Engagement

Based on user behaviour and preferences, the programme provides tailored shopping experiences. Features like customised discounts, targeted promotions, and product suggestions boost client happiness and loyalty.

Secure Payment Processing

The solution guarantees safe and smooth transactions by integrating with several payment gateways, offering a range of payment methods, and guaranteeing adherence to PCI DSS requirements. Cart abandonment rates are decreased and client trust is increased by this functionality.

Scalable Architecture

Because it is built on AWS, the application can manage large amounts of traffic during peak hours, guaranteeing good performance and availability. Future requirements and additional features may be easily supported by the scalable design, which makes expansion simple as the client's business expands.

Values Delivered:

Operational simplification and real-time inventory control raised total productivity by forty-five percent.
Improved features for customer involvement led to higher levels of consumer satisfaction and loyalty.
Strong security protocols protected sensitive data and guaranteed adherence to industry requirements.
The company's expansion was facilitated by the scalable design, which managed growing data volumes without causing performance problems.
Significant cost reductions were achieved through decreased human mistakes and improved inventory management.

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