Product Intelligence: How To Make Your Product Information Smarter

As we discussed at length in our #HappyHoliData series, no matter what the customer industry or use case, information quality is a key value component to deliver the right services or products to the right customer.

In my blog on 2015 omnichannel trends impacting customer experience I commented on product trust as a key expectation in the eyes of customers.

For product managers, merchandizers or category managers this means: which products shall we offer for which price? How is the competition pricing this item? With which content is the competition promoting this SKU? Are my retailers and distributors sticking to my price policy. Companies need quicker insights for taking decisions on their assortment, prices and compelling content and for better customer facing service.

Recently, we’ve been spending time discussing this challenge with the folks at Indix, an innovator in the product intelligence space, to find ways to help businesses improve their product information quality.  For background, Indix is building the world’s largest database of product information and currently tracks over 600 million products, over 600,000 seller, over 40,000 brands, over 10,000 attributes across over 6,000 categories. (source: Indix.com)

Indix takes all of that data, then cleanses and normalizes it and breaks it down into two types of product information — offers data and catalog data.  The offers data includes all the dynamic information related to the sale of a product such as the number of stores at which it is sold, price history, promotions, channels, availability, and shipping. The catalog data comprises relatively unchanging product information, such as brand, images, descriptions, specifications, attributes, tags, and facets.

product intelligence indix informatica

We’ve been talking with the Indix team about how powerful it could be to integrate product intelligence directly into the Informatica PIM.  Just imagine if Informatica customers could seamlessly bring in relevant offers and catalog content into the PIM through a direct connection to the Indix Product Intelligence Platform and begin using market and competitive data immediately.

What do you think?  

We’re going to be at NRF and meet selected people to discuss more.  If you like the idea, or have some feedback on the concept, let us know.  We’d love to see you while we’re there and talk further about this idea with you.

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