Every second counts.

A shopper searches for the latest smartphone or gaming console. In that instant, their decision is shaped—not just by what they see, but by how they see it. If the right products don’t appear first, they’re gone.

To keep shoppers engaged and drive conversions, your search results must do more than display relevant products—they must adapt instantly. Dynamic ranking makes this possible by ensuring that the most impactful products always rank first.

Dynamic ranking continuously reshuffles product listings in real time, adapting to shopper intent, demand trends, and market shifts. Instead of static search results, it ensures that the most relevant, high-impact products always take center stage—enhancing visibility, engagement, and conversions.

Why static search fails electronic retailers

The electronics industry moves at lightning speed—what’s trending today may become obsolete tomorrow. Yet, many retailers still rely on static search, where products appear in the same order regardless of demand, relevance, or shopper intent.

Here’s why that’s a problem:

Shoppers expect real-time relevance: A static search might display outdated models or low-demand items first, forcing shoppers to dig through irrelevant listings. The longer they search, the likelier they are to bounce.

Static ranking doesn’t consider user intent: Not all shoppers seek the same product. A first-time buyer, a brand-loyal customer, and a bargain hunter have different needs. Static search treats them similarly, whereas dynamic ranking tailors results based on real-time behavior.

New releases need immediate visibility: If a new smartphone, gaming console, or laptop launches, but your search still ranks older models first, you’re missing out on high-intent buyers who are ready to shop.

Market trends shift rapidly: A sudden spike in demand—due to viral reviews, product shortages, or seasonal trends—won’t be reflected in static search results, leading to missed sales opportunities.

In short, static ranking is reactive — always a step behind market trends and shopper intent. Dynamic ranking is proactive — continuously optimizing product visibility by processing real-time data and aligning with business goals.

How Netcore Unbxd dynamically ranks your products

Netcore Unbxd uses various data signals and user behaviour data to rank products dynamically across search, PLP pages, and recommendations. Netcore Unbxd self-learns and continuously uses algorithms like popularity, trending, freshness, and diversity to reorder the product assortment to improve click-throughs and conversions dynamically.

Real-time personalized search results: Netcore Unbxd doesn’t just rank products—it understands your shoppers. Analyzing in-session user behavior, preferences, demographics, and affinities, it dynamically re-ranks search results, instantly surfacing the most relevant products, resulting in reduced bounce rates and more satisfied customers.

Ranking based on newness and popularity quotient: New products are given an artificial boost-decay rank automatically without any manual intervention. This works by providing a subset of slots to newly added products using an exploitation-exploration method to try and get the recent launches into trends. For example, if the ‘Samsung Galaxy S24 Ultra’ is a new launch and dominates searches, Netcore Unbxd ensures it appears at the top, while less in-demand models take a backseat.

Ranking through string matching: Netcore Unbxd dynamically ranks products based on string similarity, ensuring closely related items appear alongside search results. This allows shoppers to explore relevant alternatives without refining their queries—especially for products with multiple variants.

Ranking based on brand publicity: Netcore Unbxd enables retailers to rank products based on brand visibility and promotional priorities while maintaining relevance for shoppers. Using our merchandising console, retailers can boost brand-preferred products.

Ranking based on region and price: Search rankings shouldn’t be one-size-fits-all. Unbxd adapts rankings based on regional demand—for instance if the iPhone 15 Pro Max is the best-selling smartphone in the US, it ranks first there, while in India, the more budget-friendly smartphones might take priority.

Conclusion

With over 50 AI/ML models at its core, Netcore Unbxd masters search relevance through query category prediction, autocorrect, and catalog enrichment. Every search query is met with razor-sharp accuracy, ensuring shoppers always see what they want—when they want it.

Our customers have already witnessed:

35% increase in conversions using AI models trained to identify and list products more likely to sell.
90% of the search queries are optimized for ranking, outperforming traditional clickstream models.
100% tailor-made responses for each query by considering the distinct shopper, store, and catalog-related differences.

Experience the difference intelligent ranking makes. Book your demo today and see why leading electronics retailers consider Netcore Unbxd's dynamic ranking solution.