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Customer
The client is a UK-based B2B enterprise providing goods to procurement departments, wholesalers, and corporate purchasers. Before this involvement, their site was more of a product listing business, and most of the orders were made by hand via email and sales personnel.
The client became interested in investing in a systematic B2B online shopping system as the volume of orders rose and the demands of buyers began to take a new form in self-service purchases. To execute the project, they employed our team members as dedicated developers on a formal engagement model. At the beginning, a non-disclosure agreement (NDA) was signed, and secret information about commercial data, technical architecture, and how the process works was guaranteed during the cooperation.
Having very little internal technical knowledge, they needed to know the effect of operations and long-term viability. Key questions included:
- Is a B2B ecommerce site able to shorten the manual sales effort and time for order processing?
- What will be the functionality needed to accommodate bulk orders and recurring purchasers?
- What can be done to enhance product discovery without raising support overhead?
- How much performance and scalability is needed within the next 2-3 years of growth?
- What can be done to support mobile usage among the buyers who receive the order during the working period?
The aim of the client was to establish a stable ecommerce base that enhances efficiency and contributes towards revenue growth, but without employing more overhead on operations.
Challenges
The client faced operational and technical limitations that restricted digital sales growth and efficiency.
- The current site was being used as a product catalogue, meaning that the majority of the orders were being made by hand by the sales personnel.
- Repeat customers did not have an organized self-service order system, which made the order turnaround longer.
- The discovery of products was ineffective as the catalogue was growing, which made the buying process take longer, and support requests were frequent.
- The platform should have been able to facilitate bulk purchasing and account-based buying without making it more complicated for users.
- Conservation of consistent performance between desktop and mobile devices was a must for buyers who made their orders during business hours.
- The ecommerce was required to scale when there were more users, products, and volumes of orders, and rebuilding was not very frequent.
Solution We Delivered
To overcome these, being a trusted B2B Ecommerce Website Development Company, we have created and built a unique B2B store based on the UK market and the requirements of the client operations.
There was the introduction of a systematic account-based purchase process to facilitate frequent customers and large-scale purchases. Rule-based recommendations based on browsing behaviour and purchase history helped the product discovery improve in order to help buyers find relevant products more easily without having to resort to manual intervention.
It came out with a smart shopping assistant to address frequent product and ordering questions. This minimized the inbound sales queries, and the internal team worked more on the high-value accounts and not on routine support.
To have products that needed more thorough examination, the interactive 3D product views were included with the help of WebGL. This assisted the buyers in knowing their products better and minimized after-sales questions before ordering.
The mobile-first and performance-driven platform has been developed. Response times and interaction latencies were also limited so as to make the interaction similar across gadgets. A scaling-on-demand backend architecture was also adopted in order to accommodate the expansion of the catalogue, the growth in traffic, and future additions without the need for structural changes in the architecture.
Results
The new ecommerce platform generated quantifiable business results in five months of its launch:
- 38% growth in finalized online orders as opposed to the former enquiry flow.
- Manual processing of orders using the sales staff reduced by 42%.
- 31% of repeat customers moved to self-service ordering within three months
- Mean order completion time went down to being single instead of a series of email messages.
- Both stable performance and no degradation when doing business at peak hours.
The platform helped the client to manage larger volumes of orders without necessarily growing the sales or support staff.
Key Features
- Account-Based Buying: Organized repeat customer flows, bulk orders, and logged in purchasing.
- Product Discovery Logic: Recommendations to be used to reduce search time and friction based on behaviour.
- Smart Shopping Assistant: Auto-management of frequent product and order queries.
- 3D Product Visualization: WebGL-based interactivity on complex or specification-intensive products.
- Mobile-First Experience: Mobile business user layouts and interactions.
- Performance Optimization: Short loading times, better responsiveness of the interactions under usage.
- Scalable Architecture: Formulated to facilitate catalogue growth, increased traffic and integrations in the future.
Tools & Technologies
- Frontend Framework: React (responsive UI, fast dashboards, dynamic catalog rendering)
- Backend: Node.js, Django
- Database: PostgreSQL (transactions & orders), MongoDB (catalog & session data)
- Search & Discovery: Elasticsearch (fast product filtering & recommendations)
- 3D/Visualization: WebGL (interactive product views)
- Payments: Stripe (secure B2B transactions & invoices)
- Cloud Infrastructure: Amazon Web Services (auto-scaling, CDN, storage)
- DevOps: Docker, GitHub Actions
- Project Management: Jira, Slack
Do you want to build a B2B e-commerce website like this?
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