Catalogue Match

The Problems

Price comparisons between product catalogues from multiple suppliers are problematic since supplier catalogues are in different formats, with different combinations of structured and unstructured information. Furthermore the same product may be named differently across suppliers and manufacturer branding can make it difficult to match products between manufacturers:

Supplier A

ItemQuantityUnit Price
Cotton Buds2000.56


Supplier B

cotton applicator150pcs @ £0.50


Supplier C

Q-Tips – 150pk0.70


Example product catalogue entries from 3 different suppliers

Working out the best value per unit poses a significant data parsing and standardization challenge – especially when there are millions of products and thousands of supplier catalogues.


Our Solution

Datactics can import, normalize and match digital product catalogues from multiple sources. Our solution provides various degrees of matching available to the user, exact matching, fuzzy matching, regular expressions and key word matching. These specialist matching techniques are all available via an intuitive GUI without the need for specialist programming expertise.

Datactics provides users with a mechanism to infuse the expert knowledge of their data analysts into the software via Master Reference Files,  allowing  users to capture knowledge about their products and to then utilize that knowledge in their data matching processes.  The matching is adaptive to the expert’s knowledge, making it iteratively better over time. This will leave the company nondependent on key specialists within the analyst team as the knowledge will be captured in the software.

Manage and automate import of supplier catalogues from a central GUI hub

Parse & normalize product data with regular expressions & fuzzy matching without programming

Process large volumes of data

Integrated workflows delegate low confidence matches for specialist review


The Benefits

Identify cost saving opportunities by switching suppliers

Complete product based solution that can be managed by the data owner without the involvement the IT department,

Reduced manual labour costs through automation


Click here to talk to us to find out more!


Case Studies

Read our case studies to find out how we helped our customers to success: