Mathemedix had a clear vision: to streamline operations by providing customers with an online store where the product selection is easy to browse and order. The e-commerce platform needed to “understand” both Mathemedix’s products and, more importantly, the user and their role as the clinic’s equipment manager. As a growing company, Mathemedix aimed to build a highly scalable online store that could support future expansion into international markets.
To keep the project manageable, the focus from the outset was on a structured approach to product definition and controlled product data management. Given the volume of product data, it was essential to build it systematically, minimizing fragmented manual input and corrections.
When the categorization of products into standalone items, variations, and bundled products was complete, the next step was collecting product data. In WooCommerce, product data is best imported when it follows a well-planned data structure.
Once the technical implementation details were clear, they had to be reflected in the data structure, and the entire system needed to be tested before the actual data import. In this project, we modeled the data structure, tested the import process, and evaluated the user interface functionality using a prototype.
After testing, we finalized the data model and provided guidelines for the client’s product management team. With the product data fully prepared, we were able to import it efficiently, avoiding extensive manual entry and corrections.
In B2B e-commerce, product images have significant informational value. While products are often selected based on technical specifications such as length and diameter, images help customers verify their choice.
The production of product images was the client’s responsibility, but we provided guidelines for the manufacturer regarding image quality, size, content layout, format, packaging, and file naming. The goal was the same as with product data: to minimize manual work during data entry and ensure efficiency.
The company was built around highly skilled professionals in the field, allowing them to obtain visual material from real surgical operations. Such authentic imagery serves as the best brand illustration, as the target audience immediately recognizes the professionalism of the company. This makes it easier to communicate quality and industry expertise effectively.
Since the images were taken from real procedures, they were edited to remove sensitive client information, such as details displayed on computer screens. Visually, the images were refined by removing unnecessary elements to create a cleaner and more polished look.
Category images have an illustrative emphasis. A category in an online store functions like an entryway in a house – its purpose is to guide visitors inside as quickly as possible. However, category images must also communicate the type of products contained within each category.
In addition, category images help shape the overall perception of quality. Since we worked with the client on product categorization, it was a natural step to create corresponding category images by photographing them in our studio.
On the client’s side, the project was led by Riija Särkilahd, who had extensive experience with the daily operations of veterinary clinics and the procurement of instruments. Her deep customer understanding significantly contributed to structuring the online store and defining the products, making the implementation process smooth.
Project management was successful, and the biggest challenge identified at the outset—the definition, creation, and import of product data—was executed effectively. The work progressed naturally, largely due to a shared understanding of tasks, areas of responsibility, and roles—who does what.
From the start, we knew that our role in the project involved extensive client support, even in reviewing seemingly simple matters. Still, the workload was surprising—small tasks accumulated into a significant whole. This was particularly evident in product-related work, which required investigation, comprehension, structuring, modeling, documentation, and testing.
For efficiency, the old saying “Doing it right the first time is cheaper than fixing it later” held true. We were meticulous in handling product data, but every project reveals that even more precise definition and testing can save time. Investing an extra hour in accuracy can easily result in three hours saved in reviewing and corrections.
