Boosting Product Discovery for a 100Cr Ecommerce Brand

A growing, 100Cr ecommerce brand—armed with all the right growth strategies and expanding its SKU base every month—was still hitting a wall.

Traffic wasn’t the issue. Shoppers were pouring in, thanks to a rock-solid reputation and big ad budgets doing their job. But something wasn’t clicking.

Most visitors were gone in under 90 seconds.
Repeat purchases had plateaued.
Even some of their most loyal customers were showing signs of churn.

The team started asking: Why are we losing high-intent visitors so quickly?

They didn’t have to dig too deep for the answer.

Their search experience—something most shoppers relied on—was painfully outdated. It worked more like a static catalog lookup than a smart, adaptive discovery tool. Everyone saw the same search results, regardless of their behavior, preferences, or purchase history.

The problem wasn’t a lack of traffic. It was a lack of relevance.

That’s when the leadership team realized their current search vendor had reached its limit. If they wanted to drive conversions and build long-term loyalty, they needed more than just search—they needed personalization at the core.

So they turned to Netcore Cloud.

Netcore’s personalized search engine delivered what their old setup couldn’t:

Real-time, behavior-driven search results
Smarter ranking of products based on customer intent
The ability to boost strategic SKUs with AI-assisted merchandising

Let’s dive into what led to this transformation—and how Netcore Cloud helped the brand turn its search bar into a powerful engine for revenue growth and customer loyalty.

Key Use Cases Solved by Netcore’s Ecommerce Personalisation Platform

1. Typeahead & Autosuggest for Faster Search

As the ecommerce brand scaled, they encountered the issue that the commerce search solution struggled to grasp the meaning or context behind a query, especially for complex, conversational, or symptom-based searches (e.g., “outfits for beach vacation,” “something to soothe itchy skin”). This is due to its high dependency on keywords, where it relied on exact keyword matches, and synonyms or hinglish names had to be fed into the system manually. Their commerce search tool missed basic features like predictive suggestions that surface products instantly, which affected the user experience and was a major reason behind the high bounce rate. Predictive suggestions were added with the help of Netcore’s product recommendations and search tool.

2. Intelligence on Catalogue & User Behavior

The Head of Ecommerce, who was driving growth initiatives, wanted to incorporate dynamic personalization to ensure that customers receive relevant suggestions aligned with their current interests and behaviors, leading to increased engagement and higher conversion rates. This was only possible by leveraging real-time analysis of trending products and customer affinity, adjusting recommendations based on time, context, and seasonality. By integrating these intelligent features, Netcore empowered the ecommerce businesses to deliver timely and context-aware product recommendations, optimizing the shopping experience and driving scalable revenue growth.

3. Automated Search & Merchandising

Manually optimizing site search and merchandising often struggles to meet complex business goals. Leadership teams, for example, strategically aim to feature high-margin, in-stock products, seeking not only to boost Average Order Value (AOV) but also to enhance customer experience by facilitating the discovery of relevant items shoppers might not have initially sought out. Automated Search & Merchandising powered by AI is key to achieving this dual objective effectively at scale.

This brand leveraged Netcore’s product recommendation engine precisely for this purpose. By implementing personalization based on user type, past actions, and preferences tracked across sessions, the engine intelligently surfaced these strategic products within relevant search results and recommendation widgets. This automated approach successfully balanced business priorities with genuine user relevance, driving AOV uplift while delivering a superior discovery experience.

4. No-Code Merchandise Triggers

A significant bottleneck in executing dynamic merchandising strategies is often the reliance on development resources for implementation, slowing down campaign launches and strategic pivots. No-Code Merchandise Triggers directly address this, placing control firmly in the hands of marketing and merchandising teams. This capability allows non-technical users to easily define and deploy sophisticated product discovery rules without developer intervention. For example, a marketer could instantly activate a rule like, “Show new arrivals specifically to Gen Z audience members, and browse the sneakers category.” This autonomy dramatically accelerates the ability to test ideas, react to market trends or inventory changes, and ensure the merchandising strategy translates rapidly into live site experiences without technical delays.

5. Omnichannel Engagement Integration

Even the best personalized recommendations fall flat if they don’t connect with customers on the channels they actually use. This ecommerce brand knew they needed to bridge the gap between creating relevant offers and ensuring seamless omnichannel delivery, especially for remarketing. Using Netcore’s platform, they activated intelligent ‘Preferred Channel’ optimization, automatically sending tailored recommendations to each shopper via the communication method they responded to most. This customer-centric approach didn’t just improve experience; it yielded a significant 35% increase in conversion rates. It empowered the brand to design sophisticated, coordinated journeys, from personalized remarketing and win-back campaigns to loyalty initiatives, ensuring customers received valuable content on their terms, enhancing engagement without feeling spammed.

Netcore’s customer engagement platform delivers rich, personalized product recommendations seamlessly across critical channels, tailored for maximum impact, like:

WhatsApp:
Go beyond simple text links. Engage users conversationally with rich media messages showcasing products they’ve shown interest in (e.g., abandoned cart reminders, back-in-stock alerts for wishlisted items). Include compelling product visuals, current pricing, descriptions, and interactive buttons like ‘Shop Now’ or ‘See Details’ directly within the chat for frictionless action and immediate engagement.

Example of a rich media WhatsApp message powered by Netcore’s CE platform.

Email: Leverage email’s visual real estate for sophisticated merchandising. Embed multiple, dynamic recommendation blocks such as ‘Picked For You,’ ‘Because You Viewed X,’ or ‘Trending Items,’ featuring high-quality images, customer ratings, potentially real-time pricing, and personalized Calls-to-Action, transforming promotional emails into personalized storefronts.

Leveraging user preferences, Netcore triggers personalized emails featuring relevant product recommendations.

Push Notifications: Drive timely action with concise, high-impact pushes. Feature relevant product thumbnails, personalized alert text (‘Price Drop Alert!’, ‘Low Stock on Your Wishlist Item!’), and deep links that take users directly to the specific product page, capitalizing on urgency and expressed user interest.

Sending price drop communication to a price-sensitive user segment.

How Netcore Stands Apart from Other Ecommerce Personalization Tools

In the multi-dimensional evaluation of top Commerce Search and Product Discovery vendors, Forrester recognizes Netcore Unbxd as a leader.

For the ecommerce brand with large product catalogs and diverse customer journeys, delivering timely, relevant, and personalized product recommendations across channels remained a complex challenge. Despite investing in multiple martech solutions, the brand faced fragmented customer experiences, a lack of channel intelligence, and limited control over AI-driven outputs. Their teams also struggled with onboarding delays, especially when working with custom-built commerce stacks or platforms like Magento and Shopify.

To overcome these personalization and orchestration challenges, this ecommerce brands turned to Netcore’s AI-powered Personalization Suite — a unified platform built for agility, transparency, and impact.

Frictionless Onboarding: Whether on Magento, Shopify, or a custom commerce platform, brands get up and running quickly with plug-and-play integrations and minimal dev effort.

Transparent AI with Control: Netcore’s personalization engine empowers marketers with override capabilities, giving them the flexibility to adjust AI-powered recommendations or messaging based on strategy and brand tone.
Channel Intelligence Built-In: Netcore optimizes customer engagement by automatically selecting the best-performing channels—WhatsApp, Push, Email, or In-App—based on real-time user behavior and historical performance data.
Unified Product Discovery & Engagement: Instead of juggling siloed tools, brands use Netcore to drive consistent, personalized experiences across the entire funnel—recommendations, nudges, content, and triggers—all within one platform.

The ecommerce brand using Netcore has seen 17 %+ uplift in incremental CTR, a 30% reduction in cart abandonment, and over 20% of revenue driven by personalized discovery journeys.

How AI-Led Personalization Is Rewriting Ecommerce Discovery
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Conclusion: How Ecommerce Personalization Became the Game-Changer

The 100Cr ecommerce brand’s success wasn’t just a result of surface-level improvements—it was the outcome of a deeply integrated ecommerce personalization strategy powered by Netcore.

At the heart of this transformation was Netcore’s unified customer engagement and retention platform. Beyond just product recommendations, the brand used Netcore to run highly targeted remarketing campaigns that delivered personalized suggestions across channels—email, push, WhatsApp, SMS, and app. These campaigns re-engaged users who had dropped off, reignited purchase intent, and surfaced the most relevant products for each individual.

Every interaction was informed by real-time behavioral data and AI insights, making every message feel timely, relevant, and personal. This continuous loop of personalized discovery + engagement + intelligent remarketing created a full-funnel personalization journey like no other.

The results speak volumes:

Transformation of the Ecommerce brand visualized YoY

This wasn’t just automation, it was 1:1 personalization at scale, enabling smarter merchandising, richer customer journeys, and measurable business growth. With Netcore, ecommerce personalization moved beyond a buzzword and became a true growth engine, uniting discovery, engagement, and retention into one powerful platform.