Case study

Data science for product classification

Create the new pocket deodorants segment information from available data points.

Product innovation keeps consumers moving, adopting new methods of use as well as new behaviors and habits. Successful new products drive market growth by creating different ways of consumption and new segments of a known category. Sometimes the change is so subtle that it’s hard to recognize that the category is evolving into something new.

When asked to identify pocket deodorants, agencies struggled with the task. They are processing sell-out data with automation, and the information they’re receiving from retailers is key for them to enhance the description of their data. How can agencies code information that isn’t consistently available on packaging or in retailers' descriptions?

Redslim SMART coding is here to help. The new pocket products could be identified by scanning all the available data with algorithms and repetitive queries. A large variety of information available in the database was used for this purpose: brands, pack sizes, time of product launch and more.

The algorithm was customized to include all the relevant information necessary to perform the task successfully. The new information thus produced was used within the original front end tools. Client teams were able to flawlessly analyze performance of the new market segment that they created, and that was there to stay.


Vertical Agencies
Product Data Services
 

Want to go over your opportunities?

Soren Altmann
soren.altmann@redslim.net
+45 5128 0876

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