
As much as tech professionals seek to know everything there is to know about AI – which is a good thing if that knowledge is aimed at leveraging AI for their customers’ benefit – there is some simplicity around AI that should give brands comfort, or at least relieve a little of the anxiety and uncertainty that AI can generate.
AI’s Role in Retail Today
We all know that AI systems use algorithms and massive data sets to generate intelligent outputs. In retail, those “outputs” can be helping consumers make better, more informed decisions, and providing personalized recommendations.
The Risk of Inaccurate Product Data
If you have a brand, it might be a little unnerving to think that your brand is being represented to consumers by massive amounts of data that can come from a variety of other sources than you or your downstream retail channels, perhaps skewing the representation of your brand in a, ummm, not-so-positive way.
Additionally, so many details can be attributed to your products that are not accurate, and that can really impact your ability to optimally represent your products online. If you go into any chatbot and type in, for example, “what to look for in a face cream”, it provides 30+ different ingredients. If a face cream brand’s product has those ingredients but is not representing them consistently, comprehensively, and accurately, the consumer experience suffers, as do sales. Go ahead and type “what to look for in <pick a product>”, and you’ll typically see a very long list of attributes.
The Risk of Inaccurate Product Data
If you have a brand, it might be a little unnerving to think that your brand is being represented to consumers by massive amounts of data that can come from a variety of other sources than you or your downstream retail channels, perhaps skewing the representation of your brand in a, ummm, not-so-positive way.
.png?width=2959&height=2000&name=Venzee_Blog%20(1).png)
Additionally, so many details can be attributed to your products that are not accurate, and that can really impact your ability to optimally represent your products online. If you go into any chatbot and type in, for example, “what to look for in a face cream”, it provides 30+ different ingredients. If a face cream brand’s product has those ingredients but is not representing them consistently, comprehensively, and accurately, the consumer experience suffers, as do sales. Go ahead and type “what to look for in <pick a product>”, and you’ll typically see a very long list of attributes.
How PIM/PXM Creates AI-ready Content
This is where PIM/PXM comes in, as a foundational platform to establish not just a comprehensive, consistent, accurate single-version-of-the-truth for each one of your products, but YOUR comprehensive, consistent, accurate, single-version-of-the-truth for each one of your products.
Now, if you draw from your single-version-of-the-truth when distributing your product content to each of your selling channels, including your ecommerce site(s), your trading partners, etc., that consistent and comprehensive product content will provide a fair & compelling representation and consumer experience, as its consistency and accuracy can establish preference over disparate, inaccurate, inconsistent, and incomplete product data that may also be consumed by AI engines.
So, this all begs the question: Are you really ensuring that your product data is AI-ready?
In today’s AI-driven retail landscape, your product data is either your greatest strength or your biggest weakness. By making it AI-ready with Venzee PIM/PXM platform, you ensure accuracy, consistency, and consumer trust across every channel.
Take control of how AI represents your brand - and turn product data into a competitive advantage.