Managing thousands of products, variants, spare parts, technical specifications, certifications and market-specific assortments is a natural part of many manufacturing businesses. It often reflects deep expertise, flexibility and years of experience in meeting different customer needs. When that knowledge is structured and made easily accessible digitally, it creates new opportunities for both customers and the business.
Across the Nordics, manufacturers are investing in customer portals, self-service, digital sales and international expansion. At the same time, B2B customers increasingly expect to find accurate product information, compare alternatives, access documentation and move forward in the buying journey on their own.
This gives product information an increasingly important role. It is no longer simply about storing and managing data, but about making the company’s collective product knowledge useful in a digital environment. Well-structured product information can make it easier for customers to make decisions, easier for sales teams to focus on where they add the most value and easier for the business to grow through new channels and markets.
Manufacturers often hold an enormous amount of product knowledge. A single product family may include multiple dimensions, materials, configurations and technical specifications. Add accessories, spare parts, documentation, market requirements and customer-specific assortments, and you have a significant amount of valuable information and relationships between products.
Much of this knowledge already exists within your organisation. A salesperson often knows which component fits a particular machine. A product specialist knows which version meets a specific certification. Customer service knows which spare part replaces an older model.
When the same knowledge becomes available digitally, customers can find those answers themselves. Which product fits their existing equipment? What is the difference between two variants? Which accessories are compatible? Where can they find the correct certificate or technical drawing?
This creates a better customer experience and turns self-service into something more than simply being able to place an order. Customers gain greater control over their buying journey, while sales and customer service can spend more time on the questions where their expertise creates real value.
Most manufacturers already have several systems that work together to support the business. The ERP system may contain product numbers, pricing, inventory levels and transactional data. Technical systems contain product and engineering information. Marketing manages images, descriptions and brochures, while certificates and manuals may be stored in other systems.
They serve different purposes, and that is exactly how it should be.
ERP is the operational backbone of many manufacturing businesses and provides control over areas such as orders, inventory, pricing and purchasing. A Product Information Management system, PIM, can complement this with the information needed to present and explain products, including product relationships, documentation, images, languages, attributes and market-specific content.
So what is the role of the digital platform? Its role is to use information from these different systems to create a relevant digital customer experience. The digital platform becomes the layer where customers gain access to the right information from your internal systems, presented in a way that makes it easier to understand, select and buy.
When each system does what it does best, it also becomes easier to develop the digital business over time. The systems do not need to overlap, they should complement one another.
One example is Elproman which has structured around 12 000 articles in PIM, while Monitor ERP continues to manage areas such as orders, inventory, pricing and purchasing. Elproman Case.
A large number of products and variants is not an obstacle to digital commerce. On the contrary, a broad and specialised assortment can be an important competitive advantage, provided that customers can easily find the right product or spare part.
A clear product model creates structure around product families, attributes, relationships, compatibility and information shared between different variants. Common information can be managed in one place, while the characteristics that actually distinguish one product or variant from another can be presented clearly.
For customers, this means better search, relevant filtering and an easier path from their need to the right product. For your organisation, product information becomes easier to manage, maintain and reuse as the assortment grows or new markets and channels are added.
Customers never need to understand how the underlying structure works. It simply needs to make it easy to find the right product.
The concept of a “single source of truth” is often used when discussing product data, but it does not have to mean that all information should be stored in one system. For many manufacturers, it is more important to be clear about which system is responsible for which information.
ERP may, for example, be the source for pricing, inventory and transactional data. PIM can own enriched product information, classification and product relationships. The digital platform then uses that information to provide customer-specific presentation, availability and purchasing logic.
When there is a shared understanding of where information belongs, who is responsible for it and how it reaches the customer, it becomes easier to work efficiently and consistently, even as the business grows or changes.
Good product information is not created by technology alone. It also depends on knowledge and collaboration between people.
Product management, marketing, sales and IT all bring different perspectives. With clear roles, shared standards and simple workflows, it is possible to create product information that is both high quality and scalable.
The goal does not have to be perfect data. What matters is that the information is relevant, reliable and structured well enough to help customers move forward.
When this works well, the impact can be felt across the business, through faster product launches, easier expansion into new markets, better self-service, stronger aftermarket sales and less time spent answering repetitive questions in sales and customer service.
AI creates further opportunities to make large and technical assortments easier to explore. At the same time, a clear product structure becomes even more important. Both customers and AI agents need to be able to find, understand and interpret your products and the relationships between them in order to guide users effectively.
AI-powered search, digital assistants and buying agents can, for example, help customers ask questions such as: “Which spare part fits this model?” or “Which of these products is approved for my market?” Instead of knowing the exact product name or item number, customers can start with their actual need.
This makes the underlying product information even more valuable. When attributes, compatibility, relationships and product structures are clear, AI has a stronger foundation for finding relevant answers and guiding customers towards the right product.
Investments in product data are therefore not only about today’s digital commerce. They also create the foundation for new ways of searching, comparing and buying products in the future.
For a manufacturing company, the products themselves are at the heart of the business. They often represent years of engineering expertise, innovation and product development, qualities that have made Nordic companies recognised for quality, functionality and sustainable solutions.
But a great product also needs to communicate what makes it great through your sales channels. As more of the buying journey takes place digitally, the knowledge built into the product also needs to reach the customer. Materials, functions, technical characteristics, compatibility, certifications, applications and smart product features are all part of the product’s value.
This is where product information plays a crucial role. When it is well structured and easily accessible, it becomes easier for customers to understand the differences between products, find the right solution and see why a particular product meets their needs. In other words, the company can make more of the knowledge and quality already built into its assortment.
The opportunity goes beyond better digital product presentation. Good product data can create better self-service, more satisfied customers, more efficient sales and greater opportunities to reach new markets and customer groups.
Otherwise, there is a risk that a company invests significant resources in developing and manufacturing excellent products, while some of what makes those products valuable never fully reaches the market.
That may be the greatest opportunity created by really good product data: allowing the full value of the product to reach all the way to the customer.