This company is a leading provider of fresh flower delivery services, operating in over 100 countries worldwide. They offer two options for sending flowers depending on the delivery date or destination: bouquets arranged by their in-house team of florists or by local florists around the world. For orders made at least 24 hours in advance and to some European destinations, the flowers will be prepared with fresh flowers selected by the Client and arranged by their expert florists in bouquet creation centers. These bouquets will be delivered in a distinctive box and can be scheduled for either a morning or afternoon delivery slot. For same-day deliveries and deliveries to destinations outside of Europe, the Client has a network of local florists who prepare the bouquets following guidelines provided by the Client and arrange for necessary transport for delivery.
As a flower delivery company, They faced several challenges in their business that required the use of technology to address them. These challenges included intense competition from other companies offering similar services, fluctuations in demand based on the season, logistical issues in ensuring timely and accurate delivery, maintaining the freshness and quality of flowers, providing excellent customer service, and investing in marketing efforts to attract and retain customers.
The client faced intense competition from other companies offering similar services, which required them to differentiate themselves and offer unique value to customers.
Demand for the client's products varied significantly based on the season, requiring them to adapt their business strategies to meet changing customer needs.
Ensuring timely and accurate delivery of orders presented logistical challenges for the client, which required careful planning and efficient systems to overcome.
Maintaining the freshness and quality of flowers was essential to the client's business, but also required a commitment to best practices and continuous improvement.
We implemented advanced algorithms and data analysis tools that could accurately assess and evaluate the performance of each supplier. This included factors such as delivery times, quality of products, and waste management practices, to ensure that only the highest-performing suppliers were included on the platform.
We created an admin panel using ReactJS and NodeJS, which allows the client to easily manage website content, product prices, categories, and images.
We developed a visually appealing and user-friendly website design using NextJS and NodeJS, based on the client's XD design and implemented in SASS CSS.
We implemented MongoDB as the database to enhance the speed and efficiency of backend operations on the ecommerce platform.
Successfully implemented automation, AI, and efficient development technologies to improve system performance and streamline operations.
We implemented algorithms to manage the system and trigger notifications for critical events or changes.
We utilized PHP in the backend and NuxtJS in the frontend to provide a seamless user experience.
We incorporated AI to predict forecasts for relevant events which helped the Client to manage their orders and suppliers.
To facilitate easy deployment and configuration, we placed the system in Docker containers and implemented a CI/CD pipeline, which further improved the efficiency and reliability of the deployment process.
Our platform helped to streamline the client's operations, resulting in an overall improvement in performance. By streamlining processes and eliminating inefficiencies, we were able to help the client achieve better results.
The measures we implemented for the client resulted in improved performance for the system. By identifying areas for improvement and implementing targeted solutions, we were able to help the client achieve better results.
