Your shoppers may land on your site but leave in milliseconds if they can’t find what they’re searching for.
Your ecommerce website’s search bar’s immense value lies in identifying high-intent shoppers whose specific queries indicate a strong propensity to convert.
In fact, research from Salesforce shows that shoppers who use search are 2.4 times more likely to buy. Thus, brands that help users find what they need—instantly—win.
The problem? Most ecommerce brands provide a broken search experience. Simply offering site search isn’t enough; if users don’t find what they need in milliseconds, their frustration can drive them to a competitor.
This is where Netcore Unbxd’s Agentic AI changes the game for ecommerce marketers. In this blog, we’ll cover how to enhance your ecommerce search experience that results in higher add-to-carts, average order value, in turn, conversions and Netcore’s Agentic AI role in this process.
Why Traditional Site Search Discovery Fails for Ecommerce Brands
We’ve all been there: Land on an ecommerce site, type their search query, scroll through the products, try different filters, and search again, but still no luck. This endless loop not only frustrates users but also kills conversions.
Research shows that nearly 80% of online shoppers abandon search due to irrelevant suggestions or a poor experience. Traditional rule-based search engines and rigid recommendation systems can’t decode nuanced intent.
The result? Your ecommerce store either throws zero results or showcases irrelevant products that lead to endless scrolling, time waste, and a bad shopping experience. Shoppers leave before they buy.
Netcore’s Solution: Built for E-Commerce Discovery & Conversions at Speed
Conversion in ecommerce doesn’t start with discounts. It begins with discovery.
If your shoppers can’t easily find the right product at the right time, they drop off, regardless of how great your pricing or product is.
This is where Netcore Unbxd comes in — helping ecommerce teams turn every search, browse, and product interaction into a conversion opportunity. Below is a deep dive into the most valuable use cases Netcore Unbxd solves for ecommerce businesses.
1. Fixing Broken On-Site Search to Capture High-Intent Shoppers
Typing a full product name into a search bar can be cumbersome. But if a website’s search isn’t great, you might get generic results, forcing you to scroll through thousands of items endlessly. That’s definitely not convenient, is it?
- Typing “black leather sneakers under 3K” returns generic or no results.
- Typing “air fryer” shows old products that are not in stock.
- Even basic typos like “blak denm jaket” return nothing helpful.
Imagine this: you simply type “Candy Glaze” into the search bar, and voila! The exact product you’re looking for instantly appears, complete with helpful suggestions for similar items.
And that’s precisely where we come in! Netcore UNBXD’s AI-powered models move beyond basic search. We meticulously analyze over 200 real-time signals, delving deep into shopper preferences, behavior, and even demographic data to truly understand your customers.
What Netcore Unbxd Does:
- Uses AI and NLP to interpret long-tail, vague, and misspelled queries.
- Delivers semantic results by understanding the shopper’s true intent, not just keyword match.
- Continuously re-ranks products based on popularity, conversions, and real-time performance.
- Indexes new SKUs in real-time, so nothing relevant is left out.
Netcore UNBXD’s search solution is about finding relevant products and perfecting the search experience.
We harness advanced AI, machine learning, natural language processing, and robust data analytics to deliver hyper-relevant, personalized results. With intelligent features like smart auto-suggestions, intuitive faceted navigation, and real-time indexing, your shoppers get a seamless and efficient journey.
What does this mean for your shoppers? An enhanced shopping experience that’s more engaging with instant results.
Customers will effortlessly discover products that truly resonate with their unique personality, preferences, and style, turning casual browsing into delightful discovery.
Shoppers who use search are up to 4x more likely to convert. But if your site search doesn’t understand their intent, they bounce fast: Your best buyers are the ones searching. Netcore helps you monetize that intent before they leave, without relying on manual tagging or merchandising rules.
2. Driving Cross-Sells and Upsells Through Personalized Recommendations
A common yet unimplemented capability in ecommerce apps/websites is recommendation carousels like “Recommended For You” “You May Also Like” or “Trending Now” that are featured on homepages, product display pages, shopping cart pages, and checkout pages.
These personalized recommendations help in driving
- Greater Product Discovery:
Product recommendations actively help your customers discover more of what they love. By suggesting personalized products similar to what they’ve viewed or previously interacted with, you prevent them from getting lost or leaving empty-handed. Widgets like “Viewed also viewed” and “Bought also bought” are excellent for boosting this organic exploration on your site.
- Increase in Average Cart Size:
These widgets are a hidden advantage for encouraging visitors to spend more. By intelligently showing similar or complementary products to what’s currently in their cart or being viewed, you prompt them to add more items. Widgets like “More like these” and “Bought also bought” are perfect for strategic upselling and cross-selling, directly increasing add-to-cart rates and average order values.
- Personalize User Experience:
Personalization isn’t just a buzzword anymore; it’s essential for a great shopping experience. As highlighted by a survey, a massive 73% of consumers prefer to do business with retailers who use personal information to make their shopping experience more relevant.
Widgets like “Recommended for you” and “Recently viewed by you” directly cater to this demand, personalizing the user experience and fostering a deeper, more meaningful connection with your customers.
What Netcore Unbxd Does:
- Uses real-time behavior signals to show products based on browsing history, time spent on PDPs, and cart interactions.
- Supports dozens of recommendation types across all money pages — “Similar Items”, “Customers Also Bought”, “Recently Viewed”, “More from this Brand”.
- Automatically adapts recommendations dynamically as user behavior changes — no manual rule building.
Shoppers who engage with these recommendation widgets can potentially increase the average order value by up to 40% and boost conversion rates by 5% to 20%. Netcore Unbxd ensures those recommendations are contextual and useful, not just filler content.
3. Reducing Zero-Result Searches and Dead Ends
“Sorry, no products found” is a conversion killer. Shoppers demand instant gratification and will switch to competitors if these demands are unmet.
If your search stack can’t understand shopper intent, results are often zero or irrelevant, leaving customers feeling lost and on the wrong site. And it often happens when:
- The shopper uses uncommon keywords (e.g., “back-to-college shoes”)
- Your product catalog lacks synonym mapping
- New launches aren’t indexed yet
For ecommerce, typically just 5-10% of search queries drive 80% of website search traffic and revenue. That’s a LOT of money being left on the table.
What Netcore Unbxd Does:
Netcore UNBXD excels at identifying subtle patterns within different types of zero-result queries, finding context where other systems fail. We achieve this through sophisticated techniques:
- Deep Learning, Language Models & Session-Based Query Reformulations: We leverage the power of advanced AI to understand and adapt queries based on vast amounts of data and user session context.
- Intelligent Language Models for Automated Refinement: Our language models utilize rich query-click data from user sessions to perform powerful automations:
- Smart Reformulation of Phrases and Synonyms: Understanding that “blue jeans” is the same as “denim pants” or that “running shoes” could be “trainers.”
- Intelligent Fallback Queries: If a direct match isn’t found, the system intelligently broadens the search or suggests related terms rather than returning zero.
- Concept Disambiguation: Differentiating between “Apple” (the fruit) and “Apple” (the tech brand) based on context.
- Advanced Spell Correction: Correcting even complex typos and misspellings instantly.
- Phonetic Similarity: Understanding variations in spelling that sound similar, ensuring products are found even with unconventional inputs.
The core objective is to ensure search systems are highly efficient and accurate in fulfilling queries, and intelligently handle “zero-result” scenarios with effective fallbacks. Zero-result searches aren’t just lost revenue — they’re missed intent-rich signals. Netcore Unbxd turns those into second chances to convert.
4. Intelligent Filters & Dynamic Facets: Making Search Personal
Extensive product catalogs are great for variety, but overwhelming for shoppers. Visitors spend more time scrolling and sifting without guided discovery than deciding and buying.
Here’s what often happens:
- Shoppers land on a PLP with 1,000+ results and don’t know where to begin.
- They bounce after scrolling through irrelevant items without ever applying filters.
- Facets are static or non-contextual, showing irrelevant options based on the category or query.
The result? Frustrated users, abandoned sessions, and low product-to-cart conversion.
What Netcore Unbxd Does:
- Implements dynamic facets and filters that adjust in real time based on search intent and product type.
- Automatically surfaces the most relevant filters based on category (e.g., “Heel Height” for footwear, “RAM” for electronics).
- Allows shoppers to refine by attributes like color, size, price, brand, discount %, occasion, and more — instantly narrowing down choices.
Shoppers can check a few boxes and see their product list update live — no reloads, no hassle. It creates a guided, self-serve experience that feels like having a personal stylist or assistant.
Dynamic facets are essential for helping users move from discovery to decision quickly, especially when:
- You have a large, complex catalog
- You want to promote inventory based on filters (e.g., “Only show 4-star rated products on top”)
- You want to reduce drop-offs from overwhelmed visitors
Ecommerce giants like Amazon and Flipkart have mastered this. With Netcore Unbxd, you can too, without needing a massive dev team to build or maintain the logic.
5. Reducing Search Friction with Autosuggest Recommendations
Shoppers often start a search without knowing the exact product name or spelling. They may type partial terms, brand variants, or vague descriptions. Without intelligent autosuggestions, this can lead to:
- Search errors and dead ends
- Increased time to discovery
- Higher bounce rates due to search fatigue
This is especially critical on mobile, where typing is slower and accuracy drops.
What Netcore Unbxd Does:
Netcore Unbxd’s Autosuggest Recommendations feature—also known as autocomplete or type-ahead search—reduces friction by surfacing intelligent predictions the moment a shopper begins typing. It does this by:
- Pulling from real-time trends, popular queries, and user history
- Displaying search suggestions in a dropdown as the user types
- Matching products, categories, and even attributes to shorten the search journey
These suggestions are personalized, contextual, and dynamically updated, delivering a more guided, efficient shopping experience from the very first keystroke.
Key Benefits of Autosuggest Recommendations
a. Boosts Conversions Through Guided Intent
- Suggests based on user behavior, trending terms, and high-converting queries
- Nudges users toward popular or best-selling SKUs
- Surfaces relevant products users may not explicitly search for
- Reduces funnel friction and increases average order value
Example: Typing “blu…” prompts “Blue running shoes under ₹2,000” — blending relevance with trend data.
b. Reduces Search Time and Effort
- Speeds up product discovery with real-time query suggestions
- Minimizes typing effort and user frustration
- Optimized for quick interactions, especially on mobile
Example: Typing “mob…” instantly surfaces “Mobile phones under ₹10,000”, “Mobile accessories”, “Mobile chargers”.
Pro Tip: Leading brands like Apple and Amazon use autosuggest extensively — it’s no longer a nice-to-have but a critical differentiator.
Case Study: How Jerome’s Furniture Increased Conversions with Personalized Search
Jerome’s Furniture, a top-tier furniture retailer in the US, significantly boosted conversions by delivering personalized search recommendations to every site visitor, powered by Netcore UNBXD.
By tapping into over 50+ self-learning AI/ML models—including the Query Category Predictor (QCP), Intelligent Fallback, Autocorrect, and Catalog Auto-Enrichment—they achieved unparalleled search relevance across browsing, search, and product recommendations.
Watch the video to see how Jerome’s embraced Netcore UNBXD’s AI-driven retail marketing strategy to craft seamless, personalized shopping journeys that convert.
Final Thoughts: Why Netcore Unbxd is More Than Just “Better Search”
This is not just a mere plugin. It’s a product discovery engine that helps you:
- Understand what shoppers want
- Guide them to it faster
- Influence their journey smarter
If you’re an e-commerce brand struggling with high bounce rates, low discovery depth, or flat cart values, this is where your growth begins.
