B2B E-Commerce Built for Industrial Demands

Manufacturing places demands on an e-commerce shop that are unmatched in any other B2B segment. Products are not searched by name or image but by machine type, serial number, assembly and BOM position. A maintenance technician who needs to replace a bearing knows neither the article number nor the exact designation. They know the machine, the assembly and the position in the exploded-view drawing. The shop must enable them to reach the correct spare part through exactly this path. Additionally, industrial customers expect complete technical data sheets, installation instructions and compatibility information directly on the article so maintenance can independently verify whether the spare part is suitable for the intended installation location.

Long-term contractual relationships shape procurement behavior. Framework agreements spanning two to five years govern conditions for consumables, standard parts and frequently needed spare parts. These contracts contain fixed prices, minimum and maximum quantities as well as call-off terms that must be precisely reflected in the shop. Additionally, industrial customers frequently require material certificates and test reports for ordered materials, which should be directly accessible through the shop.

Integration into existing production systems is indispensable. SAP PM or similar maintenance modules manage machine master data and maintenance schedules. The ERP system maintains bills of materials and inventory levels. The procurement platform must fit seamlessly into this system landscape and exchange data bidirectionally, so orders automatically appear as purchase requisitions in the ERP and material availability is queried from the warehouse in real time.

The greatest challenge in spare part ordering is unambiguous identification of the needed part. In practice, the maintenance technician knows the machine and the faulty assembly but not the spare part article number. Our machine-specific catalog navigation solves this through a three-step approach: first, the user selects the machine from a structured tree view or enters the serial number. Then they navigate through assemblies to the relevant sub-assembly. Finally, an interactive exploded-view drawing shows all individual parts with position numbers, from which they can order directly into the cart.

Technical drawings are imported from the CAD system or PIM and displayed in the shop as interactive SVG graphics. Hotspots on the drawings are linked to the corresponding article data. Clicking a position opens a detail view with article number, designation, technical specifications, stock level and price. Replacement parts and compatible alternatives are automatically shown when the original part is no longer available. This functionality significantly reduces incorrect orders and minimizes the time from problem identification to spare part ordering.

Bills of materials form the backbone of spare parts procurement in industry. They define which components in what quantities are installed in a machine or assembly. Our BOM module imports bill-of-materials data from SAP, EPLAN, SolidWorks and other systems and presents them in the shop as a navigable hierarchy. Each BOM position is directly linked to the corresponding shop article, enabling ordering from within the bill of materials.

Bills of materials are automatically synchronized via the ERP interface. When a BOM change is made in the ERP, such as replacing a supplied part with a compatible successor product, this change is automatically reflected in the shop. Revision histories show the buyer which parts were changed and when, and end-of-life notices provide early warning about upcoming discontinuations. This automated data maintenance significantly reduces manual effort and ensures the shop always reflects the current technical state of the machines.

In many manufacturing plants, C-parts and consumables are procured through Kanban systems. When a bin is empty, reordering happens automatically. Traditionally, this works via Kanban cards, barcode scanners at shelving or manual order forms. Our digital Kanban solution maps this process in the shop: for each Kanban article, order quantity, supplier, reorder point and maximum stock are defined. When stock falls below the reorder point, the system automatically generates a purchase requisition.

Kanban orders go through the standard approval process or, for standard items below a defined value threshold, are triggered automatically depending on configuration. A dashboard shows the status of all Kanban loops, open orders and consumption statistics per cost center. This transparency enables procurement to identify consumption patterns, optimize order quantities and renegotiate supplier conditions based on actual consumption data. Long-term support ensures Kanban parameters are regularly adjusted to changing consumption patterns.

The IT landscape in manufacturing companies is typically complex and has grown organically over time. Alongside the ERP system as the central data hub, there are maintenance modules, production planning systems, CAD applications and often specialized warehouse management systems. Integration work must account for this diversity and create reliable data bridges.

Digitizing procurement in manufacturing companies often fails not because of technology but because of data availability. Bills of materials are incomplete in many plants, article master data has been maintained in different systems over decades, and exploded-view drawings sometimes exist only as scanned paper originals. A realistic e-commerce project must account for this starting position and find a pragmatic path to begin with incomplete data while progressively improving data quality.

We support this process with a modular approach. The shop launches with the machine types and assemblies for which complete data exists. For other machines, a free-text search with inquiry function is available initially. In parallel, we work with your engineering team on data preparation: bills of materials are imported, drawings are digitized and article master data is consolidated. This iterative approach ensures the shop can be used productively early while data coverage continually expands.

Another critical success factor is acceptance by maintenance technicians. This user group works under time pressure, often with dirty hands and sometimes with limited IT affinity. The shop must therefore be robust, fault-tolerant and operable with minimal clicks. Large buttons, clear search functions and the ability to reach an article directly via barcode scan significantly increase adoption on the shop floor. On-site training and a clearly structured self-service portal support the adoption process.

Wear parts have a predictable lifespan that depends on operating hours, cycles or throughput volumes. A conveyor belt lasts a certain number of operating hours, a tool steel withstands a defined number of stamping operations, a filter medium handles a calculable volume throughput. When this operating data is available from the MES (Manufacturing Execution System), the shop can generate predictive reorder suggestions: the system calculates the anticipated wear point and suggests a reorder in time before the part actually fails.

This predictive procurement reduces unplanned downtime and transforms the maintenance strategy from reactive to preventive. The buyer receives a dashboard overview of all wear parts with their predicted replacement dates and can trigger orders in bundles. For critical parts whose failure would cause a production stoppage, the system can trigger automatic orders as soon as the predicted replacement date falls within the spare part's lead time. Linking operating data from the MES with the Shopware-based spare parts shop creates a cycle that safeguards material availability and reduces procurement costs through improved predictability.

Not every spare part can be procured just-in-time. Critical spare parts whose failure leads to production stoppage and whose procurement time spans several weeks must be held as safety stock. Determining which parts to stock and which to procure on demand is a strategic decision based on failure probability, procurement lead time, cost and production criticality.

Our shop supports this decision through ABC/XYZ classification of spare parts. A-parts with high consumption value and regular demand are procured through framework agreements and automatically reordered. C-parts with low individual value are processed through simplified ordering workflows. Critical parts that must be stocked regardless of their value due to production relevance receive a defined safety stock level with automatic reordering when breached. Consumption statistics per machine line and maintenance interval provide the data foundation for continuous optimization of the inventory strategy.

Industrial customers do not procure ad hoc but on the basis of long-term contracts. Framework agreements with fixed prices, quantities and terms govern the procurement of standard materials. Call-off orders against these framework agreements must be straightforward and transparent in the shop. Our contract module shows the buyer the available framework agreements with remaining quotas, current call-off quantities and contract status. Ordering happens directly against the framework agreement, and contract terms are applied automatically.

For materials without a framework agreement, the shop supports the request-for-quotation process. The buyer can generate a formal inquiry from the cart, which is routed to the relevant sales department. The resulting quote is stored in the portal and can be converted to an order with one click. This digital mapping of the classic RFQ process accelerates procurement and reduces email overhead for both sides. Our references show how we have implemented this approach in industrial projects.

Industrial corporations with multiple production sites face the challenge of centrally coordinating procurement while efficiently serving site-specific requirements. Our B2B portal supports multi-tenant organizational structures with central purchasing and decentralized ordering permissions. Central purchasing negotiates group-wide framework agreements and approves suppliers and conditions. Individual plants order independently within approved assortments and budgets and can store site-specific delivery addresses and cost centers.

Group-wide analytics show strategic purchasing which materials are procured across all sites and where bundling potential exists. When three plants order the same article from different suppliers, the analysis identifies this redundancy and enables consolidation onto a framework agreement with better conditions. This transparency across the entire procurement landscape is a significant lever for cost reduction that a well-designed e-commerce channel serves far more efficiently than fragmented procurement via phone and email.