Master Data Management for Retail

 

TIE Solutions for Retail

Item introduction and maintenance for buyers

TIE provides retailers with a streamlined data quality process system that allows buyers to easily participate and negotiate the entry of new items or changes to existing supplier catalogs via a web based interface. As product information comes in via GDS, EDI or other mechanisms, the information gets assigned to the right purchasing agent or team and the buyer views the item’s current status with any available historical information. Negotiations happen electronically and virtually, eliminating the need several manual processes and handling of information. Each user modification or approval is tracked and auditable by any authorized user of the system. Finally, when the item has been approved and accepted, the information is electronically imported into your existing applications or placed into a queue for additional data enrichment or verification.

Additional features:

• Full web based catalog visibility for suppliers
• Optional web based purchasing, billing or shipment workflows
• Web based distribution of product content

Real solutions for retailers.

Retail PIM Solutions

As a retailer, there are numerous benefits that are realized at the operational and consumer levels using PIM. Thousands of hours per year of managing out-of-stocks, introduction of new product items, and shelf tag and checkout errors can be eliminated through effective Product Information Management.

Transactional efficiencies can also be driven by reducing:

• Overall merchandising time on item inroductions and updates
• Purchase order generation errors
• Time and processing charges for invoice reconciliation Inbound logistics costs
• Warehouse/receiving costs
• Outbound logistics costs
• Inventory
• Quality Control on External Product Information Data

Creating and maintaining databases

Creating and maintaining databases to be filled with external data is difficult and costly. Even with the introduction of ‘data pools’, the quality of your data is still not guaranteed. On the input side of a data pool, your supplier remains responsible for both processing and controlling the quality of the data that is published. But where humans are involved there is always the possibility of error, and errors create costs for the recipient of the data.