Electronics and appliance product information management system

The product team handles the technical properties, documents and accessories of electronics. This information is used by the online store, consultants and installation and service staff.

The model parameters, documents and set-up are edited separately in the sources of the consultant and sales channels. The buyer or installer receives an unverified technical fact, so the choice has to be corrected.

How the solution works

  1. The manufacturer's model is identified along with its kit
  2. Category parameters and documents are checked by source
  3. Confirmed data is transmitted to selection and sales channels

Key challenges

  • Technical model data varies between channels

Solution capabilities

Model Identification

One manufacturer model has a stable identifier and a clear structure of commercial options.

Technical parameters

Attributes are managed by category to reliably filter and compare.

Documents and mandatory information

Legal and technical documentation is linked to a specific model and its version.

Attachments and service relationships

Product data describes actual compatibility relationships that are then used by the selection system.

Business context

Technical model data varies between channels
The model parameters, documents and set-up are edited separately in the sources of the consultant and sales channels. The buyer or installer receives an unverified technical fact, so the choice has to be corrected.
Technical information helps to compare complete bids
It is important to the buyer whether the device will fit, perform the necessary functions and have the right accessories. Checked parameters and documents help answer these questions before ordering. The seller can reasonably offer the required accessory or installation service according to the terms of a specific model.

Core features

  • Model Identification
  • Technical parameters
  • Documents and mandatory information
  • Attachments and service relationships

Key integrations

ERP or commodity accounting system
SKU, supplier, cost and commercial product status.
Data sources for manufacturers and suppliers
Technical attributes, documents, images and model updates.
E-commerce platform
Confirmed product information, filter attributes and documents.
Product Selection System
Technical Facts and Attachment Relations for Guidance.
Service and guarantee system
Model identification, documentation and technical facts required for service.

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.

The share of technical product data errors in channels

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.

Active models are counted, which after publication have had to correct a significant technical parameter, document or set-up fact. The percentage is calculated from the number of all models published that were checked.

Time for a new model to be ready for sale

6–25%Decreasing

This illustrative scenario assumes that 20-50% of waiting caused by missing information or unclear responsibility can be addressed. That share is assumed to fall by 30-50%. Company data is needed to verify both the addressable share and the resulting change.

The time from receipt of the approved supplier model to product readiness for e-commerce and store is measured.

Part of the negative feedback on equipment models comparison

5–20%Decreasing

Indicative assumption: 20-40% of negative reviews relate to incomparable data from equipment models. The solution could reduce this proportion by 25-50%. This is a scenario of potential; the assumptions need to be verified by feedback collected by the company.

When a company starts collecting feedback, negative reviews about comparing equipment models are counted from all assessments received on the topic. The same method of evaluation is applied before and after installation and similar customer groups are compared. Without initial data, the actual change is not determined.

Conditional calculation scenarios. The assumptions have not been validated against client measurements.

When this solution is relevant

  • Goods of many manufacturers with many technical parameters are traded.
  • The same product is sold online and in physical stores
  • Consultants often check the manufacturer's page or PDF documents
  • Compatibility and installation errors have a direct financial cost

Implementation requirements

For the technical product catalog, category specialists determine the parameters determining selection and installation. Manufacturers' sources and approval of changes are linked to electronic commerce, consultants' jobs and the selection rules used.

Further development options

  • Monitoring changes to the manufacturer's documentation
  • Controlling the lack of critical parameters

Frequently asked questions

Adapting the solution to your business