Search Engine for Products & Automated Visual Merchandising Suite
Everything you need to deliver an enterprise search engine for products with automated visual merchandising, merchant AI rules, sub-15ms ai ecommerce search, and actionable revenue intelligence for your online store.
Hybrid Search Engine for Products: Understand Customer Intent
Traditional site search fails when shoppers search with descriptive phrases, natural language, or minor typos. NexorAIQ delivers a next-generation search engine for products that combines fast catalog lexical search with deep vector semantic understanding to deliver sub-15ms search latency.
- AI ecommerce search engine for products with sub-15ms retrieval
- Deep semantic comprehension for complex, natural search queries
- Automatic typo correction & phonetics handling
- Multi-language dictionary expansion & synonym mapping
Visual Merchandising Console: Drag-and-Drop Pinning & Merchant AI
Take full control of catalog ranking with automated visual merchandising without touching code. Visual merchandising allows ecommerce teams to visually pin high-margin SKUs to top slots, boost strategic vendor brands, and schedule query-triggered campaigns. Built for modern merchant AI teams wanting full visual control over their product discovery experience.
- Drag-and-drop visual merchandising & hero product pinning
- Merchant AI brand & profit margin multiplier rules
- Automated out-of-stock demotion and inventory fallback
Zero-Result Recovery & Search Conversion Attribution
Track exactly how site search impacts top-line revenue. Identify high-intent queries resulting in zero matches, auto-generate synonym fixes, and monitor conversion rate lift per session.
- Real-time zero-result search term auto-discovery
- Search-to-purchase attribution & revenue metrics
- AI Copilot suggestions for unfulfilled demand
Headless SDKs, Webhooks & Ultra-Fast Edge Query Engine
Built developer-first. Integrate in under an hour with lightweight client SDKs, real-time catalog webhooks, and sub-15ms edge compute across 42 global points of presence.
- Sub-15ms P95 query latency via distributed global edge PoPs
- Type-safe SDKs for TypeScript, Node.js, Python, and Next.js
- Real-time catalog webhooks with zero-downtime live schema updates
- Complete query tracing, edge telemetry, and automated rate limiting
// Query NexorAIQ Vector Search via TypeScript SDK
import { NexorAIQ } from "@nexoraiq/sdk";
const client = new NexorAIQ({ apiKey: process.env.NEXORAIQ_KEY });
// Sub-15ms edge vector query with real-time merchandising
const { hits, facets, meta } = await client.search({
query: "waterproof lightweight trail running shoes",
filter: { inStock: true, priceMax: 180 },
boost: { brand: "Arc'teryx", multiplier: 1.35 },
rerank: "semantic_revenue_optimal",
});
// Response: 12.4ms P95 • 42 Edge PoPs globally
console.log(`Matched ${hits.length} items in ${meta.latencyMs}ms`);15 Specialized Commerce Discovery Modules
Every layer of modern commerce search — from dense vector embeddings to visual merchandising overrides and automated catalog enrichment.
AI Vector & Hybrid Search
Dense vector embeddings combined with keyword matching to understand natural conversational shopper queries.
AI Autocomplete
1-keystroke predictive instant suggestions, typo tolerance, and live product thumbnails inside search bar.
Search Dictionary & Slang
Multi-language synonym trees, industry terminology, colloquial slang mappings, and automated phonetic fixes.
Advanced Dynamic Filters
Adaptive facet hierarchies and automated attribute ordering that shift intelligently based on user search intent.
Trending & Zero-Query
Real-time popular queries, curated search prompts, and recently viewed inventory for empty search states.
Visual Merchandising Console
Visual catalog grid canvas to pin high-margin SKUs, reorder slots, and schedule seasonal brand takeovers.
Search Rules & Boosts
Granular conditional multipliers for brands, inventory velocity, margin tiers, and query triggers.
Hero Product Pinning
Lock priority SKUs into exact grid coordinates across specific search keywords and category pages.
Smart Collections
Automated rule-based collection pages that update in real time based on stock, sales velocity, and tags.
Campaigns & In-Grid Banners
Contextual in-grid promotional banners and promotional takeovers scheduled without developer intervention.
AI Merchant Copilot
Conversational merchandising assistant that identifies unfulfilled demand and proposes 1-click rules.
No-Result Recovery
Automated query relaxation, typo recovery, and semantic suggestions that turn 0-result searches into revenue.
Autonomous Search Optimizer
Self-learning multi-armed bandit algorithms that continuously tune ranking to maximize conversion and GMV.
AI Recommendations
Intent-aware 'Frequently Bought Together', related product rails, and cart drawer cross-sell carousels.
Automated Catalog Enrichment
AI extraction of missing attributes, automated taxonomy mapping, and vector enrichment on every SKU.
Technical Architecture & Integration FAQs
How fast does NexorAIQ re-index catalog updates from our e-commerce platform?
Catalog webhooks process product updates in real-time. Price, inventory, and new SKU changes propagate across all 42 global edge points of presence in under 2 seconds with zero re-indexing downtime.
Can non-technical merchandisers use the rules console without developer help?
Yes, 100%. The Visual Merchandising Studio features an intuitive drag-and-drop grid interface, condition builders, and simulation sandbox where business teams can test and publish ranking rules instantly.
How does hybrid search balance exact keyword matches with semantic vectors?
NexorAIQ utilizes a dual-path retrieval pipeline: exact lexical tokens (BM25) and dense embeddings (HNSW) are scored in parallel, then normalized via Reciprocal Rank Fusion (RRF) to guarantee precision on part numbers and intent on descriptive queries.
What is the typical P95 search latency under peak flash sale traffic?
NexorAIQ maintains sub-20ms P95 query latency globally. Our edge caching tier handles over 50,000 queries per second per cluster with automatic horizontal scaling and 99.99% uptime guarantees.