In the fast-paced world of e-commerce and digital retail, product taxonomy might seem like a boring, behind-the-scenes topic, but it’s actually the secret sauce that makes everything run smoothly. Artificial intelligence (AI) is not only automating the creation and maintenance of custom taxonomies but also enhancing their accuracy, scalability and relevance in ways previously unimaginable – and yet, they are not perfect. This important topic came to us from Chain Store Age in their article, “The key role of product taxonomy in AI-driven retail strategies.”
While AI may offer significant advantages in creating and maintaining custom taxonomies, it also presents certain challenges that organizations must address to fully harness its potential. One of the primary challenges is ensuring the quality and reliability of the AI-generated taxonomies. AI systems are only as good as the data they are trained on.
If your product data is messy, inconsistent or incomplete, your AI will make mistakes. It’s like trying to navigate with a faulty GPS—you’re bound to end up lost.
If your data is solid, your AI-driven taxonomy will be too. This leads to better search results, more accurate recommendations and ultimately, happier customers.
Data Harmony is our patented, award-winning AI suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it. No, it’s not easy because you still have to train the data. But with our software and services, you will see a better result right away and it will continue to improve over time.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, uniquely positioned to help you in your AI journey.
