Textile product information management system
The product team handles variations, composition, origins and maintenance information for textiles. Confirmed data is passed to sales channels so that descriptions do not have to be corrected individually.
Models, colors and sizes, barcodes, images, composition, origin and season dates are kept in multiple files or systems. Errors spread to directories, orders, labeling, channel exports and reports.
How the solution works
- Supplier data is linked to internal model and sold item codes.
- The specialist verifies the marking, composition, origin, care and limits of application of the documents.
- An approved version is prepared for a specific channel or labeling process.
- Channel reception and subsequent corrections preserve the connection to the product version and its source.
Key challenges
- Data for models, colors, sizes and seasons disaggregated
- Product composition and origin data under-managed
Solution capabilities
Model and Commodity Identification
A common model is separated and a combination of color and size is sold, while maintaining the link between supplier and internal codes.
Basis of composition and origin
The fact is linked to the supplier's document and its scope; the general statement of the collection is not transferred to all goods without verification.
Size and Care Information
Supplier markings and maintenance data are prepared in a form that is understandable to the channel, while preserving the meaning of the input data.
Approval and publication
Missing mandatory data suspends publication of the respective channel until a specialist's decision.
Traceability of substitution
Of course, which version of the product was received by the channel or labeling process and whether the repair was already adapted.
Business context
- Data for models, colors, sizes and seasons disaggregated
- Models, colors and sizes, barcodes, images, composition, origin and season dates are kept in multiple files or systems. Errors spread to directories, orders, labeling, channel exports and reports.
- Product composition and origin data under-managed
- Data on materials, origins, care and certificates provided by suppliers are uneven and not always linked to a specific combination of pattern, colour and size. The risk of inaccurate labelling, channel discrepancies and complex preparation for new data requirements increases.
- Product Information Helps You Decide
- The partner customer chooses based on size, composition, origin and maintenance conditions. Consistent description reduces pre-purchase questions and discrepancies upon receipt of the item. When the manufacturer changes the information, it can be updated in the partners' channels, preserving confidence in the delivery of the entire collection.
Core features
- Model and Commodity Identification
- Basis of composition and origin
- Size and Care Information
- Approval and publication
- Traceability of substitution
Key integrations
- Enterprise resource planning system (ERP)
- Product codes, prices and order connection.
- Supplier Imports
- Collection of collections and product attributes.
- B2B / e-commerce channels
- Publication of Confirmed Data.
- Warehouse management system (WMS)
- Recognition of patterns, color and size combinations and barcodes in the warehouse.
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.
Part of goods corrected for an error in the published code or attribute
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.
The number of goods that have had an approved code or attribute error is divided by all the goods published in the same channel sample and multiplied by 100. The reason is associated with import, approval or transfer.
Active Collection Data Preparation Time
12–36%Decreasing
This illustrative scenario assumes that 30-60% of manual data entry and handover work 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 timing of preparation and post-publication corrections for similar collections is compared.
Conditional calculation scenarios. The assumptions have not been validated against client measurements.
When this solution is relevant
- Pattern, color and size codes do not match between systems
- Origin and composition data held in supplier documents
- Collection preparation for channels takes time
- Frequent labelling or export corrections
- New product data obligations planned
Implementation requirements
The product data needs to provide for differences in composition, supplier size designation and versions of the origin documents. There is consensus on who confirms and publishes the information in the sales channels. Missing data is marked so it will not be published as verified.
Further development options
- Review of the scope of the supplier document
- Control of product fixes adopted by channels