#AzureCloud, #BusinessAutomation, #DigitalTransformation, #MongoDB, #NextJS, #NodeJS, #ReactJS, #TechInnovation, #Typescript

Background

The client operated a website selling industrial products, specifically steel pipes, to corporate clients. One major issue they faced was the cumbersome process after an order was placed. Construction managers typically ordered through the website, but each order had to be forwarded to procurement for approval within the company. Only then could the product be requisitioned, resulting in a slow and convoluted process.

Objective

The aim was to create a unique e-commerce platform where quote requests, orders, and cart contents could be sent via encrypted links to other employees within the company, who could then immediately view and approve the orders.

Solution Development and Rollout IT’s Involvement

The solution’s development journey began in January 2022, spearheaded by a designer and a technical lead. Rollout IT took charge of development in January 2023, assembling a 5-member Scrum team consisting of two frontend developers, one backend developer, one tester, and one DevOps engineer. The team successfully navigated through development tasks, ultimately meeting the initial release deadline initially set for August 2023, achieving it by November 2023.

Progress

While the original release date was set for August 2023, the team accomplished their goals by November 2023. One significant technological challenge was during the development of the administrative interface, which was ultimately resolved by implementing the React administration panel.

Outcome

The implementation resulted in the automation of generating and sending quote requests, orders, sharing, and cart contents to procurement via encrypted links. Essentially, we developed a seamless corporate integration solution. The platform enables users to request a quote for a pre-assembled order and share it as a link for approval or payment by responsible colleagues. The system alleviates the company’s pricing burdens by allowing the implementation of unique pricing strategies, configurable through the administrative interface. It provides detailed communication on the pricing logic behind the scenes. Additionally, the platform offers online configuration during the ordering process, allowing customers to specify details such as paint, cutting, and galvanization for the requested products.Furthermore, a customer authentication system was implemented, incorporating features such as online electronic signatures, uploading of accounting reports and personalized documentation.Moreover, the system includes provisions for offering unique discounts based on quotes received from competitors, enhancing competitiveness and customer satisfaction.

Thechnology Stack

The technology stack included Azure Cloud, React (Next.js), TypeScript, Node.js, and MongoDB. Next.js was chosen for server-side rendering and its SEO-friendly features, while Node.js facilitated the transition between frontend and backend. TypeScript improved documentation and maintainability.

Client Interaction and Feedback

Regular meetings were held with the client throughout the project, incorporating feedback into relevant demos for ongoing improvements. The system was iteratively refined based on client feedback.

Future Developments

Currently, a developer is working on additional features such as quotes, statistics, reports, discounts, and integration of marketing tools.

Recommended Target Audience

The custom e-commerce solution is recommended for medium and large enterprises seeking similar specialized sales interfaces.

Conclusion

The Custom E-commerce Development project undertaken by Rollout IT represents a significant advancement in streamlining corporate procurement processes and enhancing e-commerce functionalities. By addressing the challenges faced by the client in facilitating seamless order approval and procurement, the developed platform has revolutionized the way industrial products are bought and sold within the organization. In conclusion, the Custom E-commerce Development project exemplifies Rollout IT’s commitment to delivering innovative solutions tailored to meet the unique needs of its clients. By leveraging cutting-edge technologies and fostering collaborative partnerships, Rollout IT continues to drive digital transformation and enhance business efficiency in the ever-evolving e-commerce landscape.

Book a call or write to us

Send email

By clicking on ‘Send message’, you authorize RolloutIT to utilize the provided information for contacting purposes. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

How Technology Can Transform Banking?

Gone are the days when bankers had to deal with a huge pile of paperwork, and customers at banks had to wait in long queues to get a transaction done. All thanks to technology, which has the potential to transform banking at an exponentially faster pace.

AI-Driven Search : Personalizing Results for Better User Engagement

About 93% of online experiences start with a search engine. AI-powered search enhances user engagement by utilizing machine learning and natural language processing to provide more accurate, context-aware, and personalized results. Let’s explore how AI-driven search is reshaping personalization and user engagement, and why businesses that ignore it risk falling behind.

The Role of Natural Language Processing (NLP) in AI Powered Search

Have you noticed how online searches have become more conversational? Whether it’s through voice assistants or typing out detailed queries like “What’s the best pizza near me?” or “How do I fix a leaky tap?” The way people search is changing rapidly. This growing trend toward natural language queries highlights the need for businesses to rethink how they handle search functionality and adapt to this new era of AI-powered search.

DeepSeek’s Hardware Innovation: Did TPU Clusters Enable the $6M AI Breakthrough?

DeepSeek has made waves in the AI industry by claiming to have trained a 671-billion-parameter model for just $6 million—a fraction of the budget typically required by industry leaders like OpenAI and Meta. To put this into perspective, Meta’s Llama 3 training required 30.8 million GPU hours, while DeepSeek achieved similar results with just 2.8 million hours. This raises an intriguing question: was this cost-saving feat driven by hardware innovations such as TPU clusters, or was it the result of sophisticated software optimizations?

How to Use Data Analytics to Predict Shopping Trends in E-Commerce

New research from Epsilon shows that most people, about 80%, are more likely to buy something when brands make their shopping experience feel personal and special. This shows how important predictive analytics is for e-commerce businesses. Predicting customer needs using data is essential for staying ahead in the competitive world of e-commerce. Let’s explore how data analytics can help us predict shopping trends, make better decisions, and create personalized experiences that drive success.

How Machine Learning Optimizes Product Recommendations in E-Commerce

Did you know that 35% of what customers purchase on Amazon is directly influenced by its recommendation algorithms? That’s not just a number but a proof of how transformative machine learning (ML) has become in shaping modern e-commerce. In an industry where consumer preferences evolve faster than trends, personalized product recommendations are a key driver for driving sales and enhancing user satisfaction. Let’s dive into how machine learning optimizes product recommendations and why this technology is indispensable for e-commerce businesses.