Automating Product Normalisation

Helping a retail client ensure that product meta data and pricing is normalised between sister products and across the whole catalog

Key facts

  1. 11,000+ Products analysed per day
  2. 50+ New products normalised per day
  3. 20% Assisted conversion rate increase

When a product catalog gets to a certain size, small changes can have large consequences in unforeseen areas. Our client, a retailer of mobile phone spare parts, had grown their product catalog to over 10,000 products and had a number of ongoing issues:

  • Price updates for individual products needed to be mirrored across sister products, which was prone to human error
  • Updates to product attributes were not generally being mirrored in the meta data that generates good search engine and social media sharing snippets
  • Correcting catalog wide issues was a time consuming and error prone task
  • Correcting these issues automatically at database or page template level was not viable

Prestanda developed a series of software modules to take on the various aspects of the problem individually using the clients' platform API, and packaged those up into a standalone product which automatically takes care of ensuring that the entire product catalog is in good order in real-time. The client can now be sure that what a customer sees in a search engine result, or a social media post, or from one sister product to another, will be accurate. This decrease in consumer confusion led to a 20% increase in conversion rates.

We'd love to share more with you, interested?

Of course! 

Interested?

If you’re interested in working with Prestanda, we’d love to hear from you. Click below to schedule a call.