We explore how the latest Spring Deal Days event offered a glimpse into the future of AI-powered shopping…
As Spring Deal Days returned with 7 days of discounts across everything from electronics and beauty to home, fashion and everyday essentials, our team took the chance to look beyond the deals themselves and dive deeper into just how much Amazon is using AI and personalisation to shape the way customers are discovering products.
What we saw here, more than any previous event, was that retail events aren’t just about price anymore; how Amazon is guiding shoppers to what they buy is playing a huge role that’s only going to increase.
So how can you turn this to your advantage? Here are our key takeaways…
Discovery is becoming more conversational
One of the most noticeable things around the March event was the part played by AI-led product discovery, and especially Amazon’s conversational assistant Rufus.
Designed to answer questions like, “what are the best running trainer deals for marathon runners?”, Rufus is letting shoppers explore what’s on offer through natural language queries – with Amazon then interpreting intent and showcasing the products it deems most relevant.
We’ve said it before but, for brands, this marks a clear shift from optimising for search alone toward making sure your product data, attributes and positioning are clear enough for AI systems to understand and recommend – as well as making sure everything about your product descriptions is built to work with conversational search queries too.
Personalisation is shaping how shoppers encounter deals
As well as conversational discovery, Amazon is continuing to expand how it curates personal deals for shoppers.
During the Spring Deal Days event alone, shoppers were guided by features like:
- Recommended Deals for You.
- Deals related to Wish Lists.
- Deals related to items in your cart.
- Curated Top 100 deal lists.
- And even Creator-curated selections.
And all of this reinforces one simple fact – Amazon is moving from acting like a catalogue or sorts to being a tailored, guided shopping experience, all shaped by search, browse and purchase behaviours.
In this kind of environment, visibility for brands increasingly rests not just on your participating in promotions, but on how well the platform can match your deals to the right customers – another win for those with everything optimised to the highest standard.
AI is changing how deals are surfaced
New tools like Amazon Lens, which allows customers to photograph a product and find it on Amazon, are another strong example of how far marketplace discovery is expanding beyond traditional browsing.
When you consider these tools alongside conversational AI and algorithmic recommendations, it’s increasingly obvious that the customer journey from curiosity to purchase is becoming more and more driven by Amazon’s own systems.
So bear in mind that, during major retail events, when traffic spikes and discovery accelerates?
These systems are what are determining which products shoppers actually see.
For Amazon brands, the implication is clear – it’s not enough to just participate anymore, you need to be maximising your visibility by every means possible.
And that means making sure that your:
- Product detail pages are clear and well-structured.
- Attributes and data describe the product as accurately as possible.
- Content communicates the right expectations.
- Customer feedback backs up your claims and builds trust.
Doing this isn’t just about attracting and ensnaring your customers, it’s about Amazon too – because these discovery systems rely on structured data and customer signals to decide which products to surface.
The Bottom Line
It’s fascinating to see how these events offer a concentrated window into how Amazon’s shopping ecosystem is evolving from discounts and search-driven browsing toward AI-guided discovery and personalised deal experiences.
And as Amazon’s systems become both more fundamental to discover and more sophisticated in how they work, we think the brands that benefit the most will be the ones who can blend competitive pricing with the products that can be most clearly understood by Amazon’s algorithms.