Table of Contents

Why eCommerce Brands Are Falling in Love with AI Search

W

hat if your biggest source of lost revenue isn’t your ad strategy — but your search bar? In today’s fast-moving digital commerce world, customers expect search results to be instant, relevant, and accurate. If your search doesn’t deliver, they’re gone — likely to a competitor.

At ForkPoint, we’re helping eCommerce brands stop that silent revenue leak by using AI Search to reimagine how search works — and more importantly, how it converts.

In this article, we’ll explore the problem with traditional site search, how ForkPoint is applying AI to fix it, and what it means for your store’s performance.

The Hidden Problem: Search That Doesn’t Convert

On the surface, search might seem like a basic feature — type, find, buy. But the reality is far more complex.

Traditional Search Is Costing You Sales

Most eCommerce platforms use keyword-based search engines that depend on exact matches. This leads to poor results when:

The result? Frustrated users. Higher bounce rates. Lower conversions.

And that’s a massive problem — because search users convert 2–3x more than average site visitors when it works well.

ForkPoint’s Solution: AI Search That Understands Intent

We don’t just tweak filters or improve speed. We fundamentally rethink search — using AI to interpret what the customer actually wants, not just what they type.

🧠 How Our AI Search Works:
AI Search - Before vs. After

📌 Case Snapshot: What We’re Building 

One of our ongoing projects involves improving on-site product discovery for an international retail client with a diverse catalog and high SKU count. While we can’t reveal all the details yet, our goal is clear: cut bounce rates and increase conversions by making search smarter, faster, and context-aware.

 

We’re leveraging tools like Meilisearch enhanced with custom AI logic to go beyond basic text matching — and deliver a search experience that feels effortless and helpful to the end user.

Why It Matters for Your Business

When you fix your site search, you fix your customer journey at the moment that matters most — when they’re ready to buy.
🚀 Benefits:

But Isn’t AI Search Overkill? (Spoiler: No)

Let’s address the elephant in the room — does every store need AI for search?

Here’s the truth: if you have a large catalog, complex products, or high traffic, traditional search isn’t good enough anymore.

AI doesn’t just make search faster. It makes it smarter. It bridges the gap between customer language and product data — and that’s what drives conversions in 2025 and beyond.

What’s Next: The Future of Product Discovery

AI search is just the beginning

As we look ahead, ForkPoint is actively exploring how to blend AI search with:

In short: we’re turning search from a utility into a growth engine.

Conclusion: Stop Losing Sales to Bad Search

AI-powered search isn’t a nice-to-have anymore. It’s a revenue channel — and one of the most impactful upgrades you can make to your store’s performance in 2025.

At ForkPoint, we build search that converts — faster, smarter, and tailored to your customers’ intent.

👉 Ready to make your search bar your top-performing sales rep?

Let’s talk. Contact us.

Role Overview

As a Web Developer with around 3 years of experience, you will take an active part in the full development lifecycle – construction, documentation, testing, and deployment. You will be working with Lead Developers, QAs, and DevOps teams to understand the functional requirements and high-level technical details, and to produce efficient, robust code meeting the client requirements.

To keep it short, below are three key responsibilities:

Technology Stack Used & Required Experience:

The Rest of the qualities, you know them:

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