Retail AI Experts Discuss Data Accuracy & Model Training

The only way to ensure a retail AI solution is actually effective is to partner with a provider who trains models on industry-specific, clean, and accurate retail data. Lily AI’s training data stands apart for those exact reasons, and three retail AI experts explain why, in this video.

When it comes to implementing a retail AI solution, the data its models are trained on is absolutely critical. We can’t stress this enough. 

As we navigate the path ahead through today’s AI boom, it’s important to note that many leading generative AI solutions are trained on data and content that’s scraped from across the web. While these sorts of solutions can generate content for retailers, their outputs are generic and marginally effective. There’s also the growing issue of data availability, as many web publishers and media companies are famously blocking and suing AI systems. As an alternative to large language models, retail-focused and industry-specific models tend to provide better results that are tailored to address retailer and brand needs.

A better, yet not perfect, data source is synthetic data. Synthetic data may not fully capture the complexity and nuances present in real-world retail data. Of course, this could lead to potential biases or inaccuracies in analysis, because synthetic datasets can struggle to replicate a diverse range of behaviors and patterns found in authentic data.

Retailers and brands that want to drive sales can only afford to implement AI solutions trained on human-curated, real-world retail data. Only then can AI deliver on its promise to improve growth and profitability. 

This is where Lily AI’s data stands apart. Unlike more generic, horizontal AI solutions, Lily AI is a vertical AI with a massive proprietary data set that’s highly specific to fashion, home, and beauty retailers. Its models are trained on aggregated and anonymized data from some of the world’s largest retailers and brands. Therefore, it understands product attribution and brand voice, as well as consumer language and preferences, and what drives conversions for individual brands, with much nuance. 

Below, three of our own retail AI experts dive into what sets our data set and its accuracy apart, in a world where many, less specific AI solutions exist.

Lily AI Data and Retail AI Experts Will Connect You With Future Customers

The first step to driving retail sales is establishing connections with prospective customers. There’s no better way to do this than by speaking their own language . . . And Lily AI makes that easier than ever!

If you want to see Lily AI’s product—and its extremely specific, reputable data—at work, you can learn more about its generative content production here. You can also get answers to big questions surrounding Lily AI’s capabilities in enhancing site search, product recommendations, full-funnel search performance, demand generation, and more. Or schedule a demo below, to get insights into how its data will drive results for your brand.

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Fashion model holding a teal purse while posing in a maroon sweater.