Business man, laptop and coffee shop for remote work, typing online and planning for e commerce website in winter.

Every day, thousands of potential customers land on ecommerce sites, type things like “comfortable winter boots” into the search bar, and leave empty-handed—not because the products aren’t there, but because the site search engine couldn’t understand what they wanted. These missed connections aren’t just frustrating for shoppers; lack of intent understanding costs retailers real revenue.

The numbers are startling: 76% of consumers have experienced failed searches on retail sites. Even more critical? 43% of shoppers bypass navigation entirely, making your search bar their primary shopping tool. That’s why a powerful ecommerce search solution is essential for survival.

And here’s the reality: solving search intent today is your foundation for future innovation. You can’t leverage advanced AI, LLMs, or agentic experiences if your core search can’t understand what “comfortable boots” means. Here we’ll outline how we’re helping B2C organizations fix today’s search problems—and putting them on the path to tomorrow’s advanced AI-driven experiences.

Why Traditional Retail Search Platforms Fall Short

Modern retail faces a search crisis. Despite the explosion of AI and machine learning, most ecommerce sites still run on search technology that’s fundamentally broken. When a shopper searches for “black running shoes with support,” traditional keyword-matching might return “black shoe support insoles” simply because the words match—completely missing that the customer wants athletic footwear, not accessories. These basic misunderstandings lead to customers abandoning their carts—and maybe never returning again.

The problem goes deeper than misinterpreted queries. Today’s retail catalogs contain millions of SKUs, seasonal variations, and constant inventory changes. Traditional search platforms crumble under this complexity, unable to handle the dynamic nature of modern retail. They’ll show winter coats in summer clearance sections because they match the word “coat,” or return “dining room sets” when someone searches for “patio dining furniture”—ignoring the crucial indoor/outdoor context that should inform these results.

Online shopping, home and person with phone, clothes and e commerce, digital and browsing for sale. Choice, decision and fashion for customer, back view and app in mobile, technology and internet representing personalization in ecommerce

Meanwhile, your customers have been trained by giants like Amazon to expect hyper-personalized experiences. They want search results that understand their preferences, their shopping history, and their current context—whether they’re browsing for work, planning a vacation, or shopping for a special occasion. Traditional search platforms simply weren’t built for this level of sophistication, leaving retailers struggling to meet these basic expectations.

The B2C Core Package: Next-Generation Search That Converts

Today’s shoppers don’t have time for bad search experiences. The B2C Core Package combines cutting-edge neural search technology with practical, ready-to-use functionality to deliver the experience your customers demand. By bridging the gap between shopper language and product data, we’re transforming how retail search works.

Lightning-Fast Implementation

Most enterprise search projects take months of implementation, eating up IT resources and delaying your return on investment. The B2C Core Package takes a different approach. With pre-configured tools, proven B2C retail templates, and expert deployment services, we get you up and running in weeks, not months. Our templates are built on years of retail search expertise, handling common commerce scenarios out of the box while remaining flexible enough to adapt to your unique needs.

Neural Hybrid Search for Ecommerce: Understanding Real Intent

Our AI search software, Neural Hybrid Search, thinks like your customers. When someone searches for “wooden coffee table,” it knows they’re looking for tables—not table lamps made of wood. Likewise, if a customer types “breathable summer workwear,” it understands they want lightweight professional clothing, even if your product descriptions use terms like “cotton blend business casual.”

Neural Hybrid Search for ecommerce results for "wooden coffee table"

Empower Your Merchandising Team

Visual merchandising tools put control where it belongs—in the hands of your merchandising team. No more IT tickets and lengthy wait times for simple changes. Our retail merchandising platform enables merchandisers to take immediate action with an intuitive interface, from adjusting product rankings through simple drag-and-drop controls to launching seasonal campaigns without touching code.

Commerce Studio‘s AI-driven insights go beyond basic analytics, proactively identifying opportunities to improve product findability while providing real-time visibility into search performance. From managing complex product catalogs to fine-tuning search relevance, everything happens in real-time—no technical expertise required.

Personalization That Drives Revenue

Your customers expect Amazon-level personalization. While challenging to deliver this in-house, our retail search analytics make it possible for merchandisers to create hyper-personalized experiences without data science expertise. Analytics Studio™ tracks customer behavior and turns shopper signals into revenue-driving personalized experiences in real-time by continuously adapting to individual shopping patterns, purchase history, real-time trends, and complex search queries.

Future-Ready Search Technology

While today’s shoppers expect to find the products you offer without hassle, tomorrow’s will demand conversational AI and multimodal interactions. The B2C Core Package prepares you for that future by establishing the foundational AI capabilities you need, from natural language understanding to real-time intent detection.

But you don’t have to wait for tomorrow to see results. Our solution delivers immediate benefits that impact your bottom line today: reduced cart abandonment, improved ecommerce search conversion, and streamlined merchandising operations. And with enhanced customer satisfaction across the board, you’ll build the loyal customer base you need to thrive in an increasingly competitive market.

Results You Can Expect

Based on our experience with Neural Hybrid Search and extensive retail data analysis, B2C Core Package customers can expect significant operational and revenue improvements. We project a 25% reduction in development time through our pre-built templates and streamlined implementation. Merchandising teams should see efficiency gains of up to 20% with our no-code tools and AI-assisted workflows.

On the revenue side, our AI-powered search and personalization capabilities typically drive a 15% increase in conversion rates while reducing bounce rates by up to 20%. These projections are backed by our proven search technology already delivering results across major retail organizations.

Start Your Search Evolution Today

Every day, real shoppers arrive at retail sites looking for products they want to buy. The difference between making a sale and losing them to a competitor often comes down to one simple thing: did your search technology understand what they were asking for? While many retailers are just beginning to explore AI search capabilities, you could be solving these basic customer frustrations in weeks with the B2C Core Package.

Let’s have a real conversation about your search challenges. We’ll look at your actual product data, understand your customers’ journey, and show you how much easier product discovery can be. Get in touch.

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