As data professionals, we’re no strangers to the power and potential of recommendation engines. However, the landscape of recommendation technology is undergoing a profound transformation, thanks to generative AI. In today’s post, you’ll learn the differences between ML- and LLM-based recommenders. Access a free training on how-to build generative AI recommendation engines.
Gone are the days when mere collaborative and content-based filtering would suffice.
With generative AI recommendation engines, we’re able to produce real-time, sequence-based, highly personalized product suggestions that detect and predict intricate user behaviors with unparalleled accuracy!
😅 The bar is A LOT higher now with generative AI recommendation engines
Generative AI’s introduction to ecommerce has brought about a paradigm shift, unveiling capabilities that traditional ML-based recommenders could only dream of. Let’s dive deeper into how the two differ and why generative AI is the new game-changer:
1. Dynamic Real-time Recommendations
2. Sequence-based Recommendations
- Traditional ML-based recommenders: These systems typically suggest products based on popularity or basic user behavior, often missing the nuanced sequence in which some products should be presented, especially in domains like grocery shopping.
- Generative AI: Recognizes the importance of sequence in recommendation. It understands that after selecting pasta, a customer might want sauce next, followed by cheese. This sequence modeling ensures the recommendations are not just relevant but also contextually appropriate.
3. Hyper-optimized User Experiences
- Traditional ML-based recommenders: These systems often require manual tuning and regular updates to offer content and recommendations. They might be able to identify best-selling products but can struggle with real-time inventory optimization.
- Generative AI: Generative AI recommendation engines take optimization to a whole new level. Not only can it fine-tune content and offers on-the-fly, but it can also predict inventory demands by analyzing real-time shopping behaviors, ensuring businesses never miss out on potential sales due to stockouts.
In essence, while traditional ML-based recommendation systems have served us well, the dawn of generative AI in ecommerce is ushering in a more adaptive, intuitive, and efficient era.
In essence, while traditional ML-based recommendation systems have served us well, the dawn of generative AI in ecommerce is ushering in a more adaptive, intuitive, and efficient era.
The intricate processes that Generative AI bring to the table might seem intricate, but the enhanced user experience and business outcomes they promise are undeniably transformative.
That’s one reason I’m so excited to be partnering with SingleStore to bring you this free training!
📆 FREE TRAINING: Building best-in-breed generative AI recommendation engines with OpenAI & JSON
If you’re interested in learning how-to harness the groundbreaking capabilities of generative AI to build hyper-personalized shopping experiences, this is a training event you CANNOT miss.
Look, this session is meticulously designed for visionaries like you.
- An immersive demo that shows you what it takes to build real-time interactions with OpenAI for online grocery cart suggestions.
- An in-depth codeshare session which provides a holistic overview of the development processes that’s involved.
- Expert-led walkthroughs on leveraging JSON, unstructured data, free-text vector search, and site analytics for use in architecting avant-garde product recommendation systems.
What are you waiting for?
The next chapter in ecommerce personalization is being written and you, my friend, are poised to be a key contributor!
Dive deep, engage with pioneers, and equip yourself with the expertise you need to craft recommendation apps that will set the gold standard in the industry.
Tap here to reserve your spot for the free training >>
The buzz around this transformative technology is palpable.
Secure your place today so that you can position yourself at the cutting-edge of generative AI ecommerce innovation.
Pro-tip: If you like this type of training, consider checking out other free AI app development trainings we are offering here, here, here, here, here, and here.
Yours Truly,
Lillian Pierson
PS. Don’t miss this chance to get trained for free on how-to build generative AI recommendation engines w/ OpenAI
PPS. If you liked this blog, please consider sending it to a friend!
Disclaimer: This post may include sponsored content or affiliate links and I may possibly earn a small commission if you purchase something after clicking the link. Thank you for supporting small business ♥️.
