AI Search & Personalization

AI Search & Personalization for E-Commerce

Turn search and recommendations into a stronger discovery system for e-commerce — one that adapts in real time to customer intent, catalog structure, and business priorities. Especially when packaged search platforms make that control hard to achieve.

Is your search doing enough?

Is Your Search Doing Enough?

Shoppers abandon when results match words but miss intent.

Generic search and disconnected recommendation engines leave too much revenue on the table. Searchplex helps commerce teams implement search and personalization systems that improve discovery quality, respond to customer intent, and stay aligned with merchandising goals, particularly when a third-party search platform or legacy stack has become too rigid.

Illustration of a shopper using AI search and recommendations
Smart retrieval, tailored results

Smart Retrieval, Tailored Results

Move beyond keyword search. We blend lexical, semantic, multilingual, and visual signals—so your customers find the right products, faster.

Discovery Signals

Hybrid Retrieval – Blend keyword and semantic search for precise yet meaningful results. Semantic Understanding – Go beyond surface terms to grasp user intent and product meaning. Visual Understanding – Let customers search by appearance using image-text representations. Multilingual Search – Support queries across languages without duplicating listings or translations.

Dynamic Ranking & Personalization

Behavioral Signals – Instantly adjust based on clicks, carts, and views. Smart Suggestions – Intent-aware autocomplete and trending queries boost conversion. Business-Aware Ranking – Optimize for stock, margin, or priority SKUs in real time. Instant Data Refresh – Ensure search and recommendations reflect your latest catalog state.
Real-time personalized recommendations

Real-Time Personalized Recommendations

Adapt to intent, behavior, and preference—automatically and instantly.

Live User Profiles

Every click, view, and cart-add updates user preferences in real time—so relevance adapts instantly.

Single Infrastructure

Use one engine to deliver both: Personalized Search Results and Recommendations.

Soft, Weighted Preferences

Model subtle signals like favor eco-friendly or avoid synthetic fabrics without rigid filters.

On-Data Scoring

Run personalization and ranking models directly on the content nodes—for millisecond responses, even at scale.
Business impact

What Better Discovery Improves

The goal is better discovery quality, stronger conversion paths, and more control over how search and recommendations behave.

Improve product discovery and zero-result recovery

Increase conversion through more relevant search and recommendations

Reduce dead-end sessions and weak fallback journeys

Improve merchandising control without slowing iteration

Why partner

Why Teams Bring Searchplex In

A common trigger is reaching the point where a vendor platform or inherited stack can no longer support the discovery logic, personalization, or merchandising control the business needs.

Commerce Discovery Delivery

We align success metrics, implement the solution, and help your team take ownership of iteration after launch.

Deep Search & AI Expertise

Our senior engineers have shipped large-scale search, ranking, and personalization systems for leading retailers.

Real-World AI Foundation

On-data-node scoring, hybrid retrieval, and live updates ensure enterprise-grade performance and reliability.

Team Enablement After Launch

Hands-on workshops and practical playbooks help your team evolve the discovery system without relying on a vendor black box.
Start here

Let's make your search and recommendations work harder.

Let's design a search and personalization experience that understands your catalog, your customers, and your business goals.

Explore Visual Search