Electrical and IT product data management system
The product specialist handles technical features, possible substitutes and manufacturer changes. Catalogs and vendors use the same validated data.
Attributes, categories, documents, images and codes are obtained in different formats and corrected in several channels. Customers do not find goods, employees duplicate work, and errors spread to offers and orders.
How the solution works
- The supplier specification is linked to the manufacturer's and internal product code.
- The specialist validates parameter values, units and limits of application of technical communications.
- Verified data is transmitted to search, bids and order verification.
- The manufacturer change is reviewed, and the affected channels receive a confirmed new state and document.
Key challenges
- Technical product data is fragmented
- Technical selection and finding analogs too manual
- Product changes and life cycle managed late
Solution capabilities
Category Attribute Model
For each technical category, attributes relevant to actual search and compatibility are defined.
Manufacturer and supplier codes
The product is linked to the manufacturer, supplier and internal codes so that search and integrations do not become lost between different identifiers.
Analogs and newer models
Technical alternatives are separated from newer versions of the product and have clear technical limits.
Sets and Dependencies Rules
Necessary accessories, licenses, power supplies, mounts or other dependent components are stored.
Technical documentation
Data sheets, certificates, instructions and other files are linked to a specific product and its version.
Product life cycle
The approved state of the manufacturer's product and its replacement model are transmitted to channels. Availability of available stock is obtained separately from the source managing the stock.
Business context
- Technical product data is fragmented
- Attributes, categories, documents, images and codes are obtained in different formats and corrected in several channels. Customers do not find goods, employees duplicate work, and errors spread to offers and orders.
- Technical selection and finding analogs too manual
- Sales or product specialists check parameters, compatibility, alternatives and sets by hand. Proposals are prepared slowly, experts become narrow in capacity, and the result depends on individual experience.
- Product changes and life cycle managed late
- New models, discontinued goods, alternatives and outdated stock are updated at different times. The portal leaves out of order goods, and the sales team is late to offer suitable alternatives.
- Reliable catalogue facilitates technical sales
- The buyer needs to understand the difference between the models and which replaces the out-of-production product. Confirmed parameters and compatible accessories allow the seller to provide reasonable alternatives. This allows the possibility of sale to be saved when the original item is no longer available, while minimizing the risk of inappropriate choice for the customer.
Core features
- Category Attribute Model
- Manufacturer and supplier codes
- Analogs and newer models
- Sets and Dependencies Rules
- Technical documentation
- Product life cycle
Key integrations
- Enterprise resource planning system (ERP)
- Product codes, prices, balances and order relationships.
- Supplier Data Sources
- Technical specifications, changes and product states.
- Business customer portal
- Parametric Search and Technical Directory.
- Warehouse management system (WMS)
- Actual recognition of SKUs and serial units.
Potential impact (%)
The ranges indicate an illustrative relative change in the metric under the stated assumptions. Results depend on the starting position and actual use of the solution. Percentages for different metrics must not be added together.
Active time of technical change verification and publication
16–42%Decreasing
This illustrative scenario assumes that 40-70% of information searches and repeated cross-checks can be addressed. That share is assumed to fall by 40-60%. Company data is needed to verify both the addressable workload and the resulting change.
The work is measured from the resulting change to its verification in the channels, separating the wait for the manufacturer's response.
Errors due to incorrect parameter or product status
12–42%Decreasing
This illustrative scenario assumes that 30-60% of errors can be addressed through the data and rule checks described. That share is assumed to fall by 40-70%. Company data is needed to verify both the addressable share and the resulting change.
Confirmed source discrepancies and their affected goods are counted, separately from errors in entering the order.
Share of out-of-supply model requests completed by purchase
5–18%Increasing
Sample starting part - 40%. Assumption: 15-30% of the remaining cases involve an unproposed proper replacement of the equipment model; a solution would help resolve 20-40% of these cases.
Requests completed with the purchase of a suitable model are divided by all requests for an outsourced model. The suitability of the proposed model must be approved by a specialist.
Conditional calculation scenarios. The assumptions have not been validated against client measurements.
When this solution is relevant
- Sales professionals constantly check multiple directories
- Analogues and replacement products for older models are manually selected
- The portal still shows products whose supply has already been cut
- Technical documentation dissected
- Planned Parametric B2B Search
Implementation requirements
Product information for maintenance is determined by units of measurement, life cycle states and reliable sources of documentation from manufacturers. Responsible professionals define what justifies the appropriateness of an alternative and how the state of the discontinued model is transmitted to sales channels.
Further development options
- Review of the effects of manufacturer changes on sets
- Return of a technical parameter error to the responsible specialist