5,000+ Projects Delivered•70+ Countries Served•18+ Years of Excellence•100+ Awards Winning Solutions•6 Worldwide Offices•550+ Enterprise AI Deployments•95% Client Satisfaction•5,000+ Projects Delivered•70+ Countries Served•18+ Years of Excellence•100+ Awards Winning Solutions•6 Worldwide Offices•550+ Enterprise AI Deployments•95% Client Satisfaction
AI Semantic Search

AI Semantic Search for High Intent Product Discovery

Deliver Google, Amazon, and Myntra grade product search with NLP intent detection, vector embeddings, image to product mapping, and personalized result ranking.

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Why this matters

Why enterprises need AI semantic search now ?

Buyers search using natural language instead of rigid keywords

Product catalogs often ship with inconsistent tags and metadata gaps

Mobile shoppers rely on voice, images, and incomplete text fragments

Customers expect personalized journeys with every search

Generic search engines hurt conversion and retention figures

Legacy keyword engines miss intent, context, and behavioral signals

Mobiloitte’s AI Semantic Search understands meaning, intent, context, and behavior — not just text.

Key capabilities

Deep-level AI search capabilities

Vector embeddings, NLP intent, image to product mapping, multilingual support, personalization, and intelligent navigation all working together.

Semantic Search Using Vector Embeddings

Understands meaning, not keywords.

  • Understands meaning, not keywords
  • Finds relevant products even with incomplete queries
  • Learns from clicks, views, and purchase patterns

NLP-Based Query Understanding

Supports natural language, voice, “human-style” and fuzzy queries.

  • Natural language and voice queries
  • "Human-style" questions, typos, fuzzy matches
  • Multi-intent logic plus numerical/contextual filters

Image to Product Search (Visual AI)

User uploads a picture → AI finds similar products.

  • Feature vectors
  • Pattern recognition
  • Color/style matching

Personalized Ranking Engine

Results differ per user based on behaviour, purchase history, clusters, and real-time interest.

  • Behaviour signals
  • Purchase history
  • Similar user clusters
  • Real-time interest

Auto-Correct, Auto-Suggest & Query Expansion

Smart suggestions, query rewriting, synonym mapping, and attribute expansion (“red” → “maroon”).

  • Smart suggestions & guided paths
  • Query rewriting + synonym mapping
  • Attribute expansion (“red” → “maroon”) keeps “no results” low

Category Browsing Intelligence

AI auto-organizes categories using visual similarity, attribute extraction, and behavioural ranking.

  • Visual similarity clustering
  • Attribute extraction
  • Behavioural ranking

Multilingual Search Support

Supports English + Hindi + Arabic + all Indic languages.

  • Voice + text queries
  • Transliteration & localized synonyms
AI + Blockchain Discovery

Add trust, provenance, and programmable rules

Blend predictive AI with blockchain identity, tokenization, and smart contracts.

Why leaders care

Eliminate counterfeit sellers, fake reviews, and manual disputes with verifiable automation.

Verifiable Product Authenticity

  • Blockchain verifies product origin for premium and luxury catalogs

Review Validity

  • AI flags fake reviews and blockchain keeps only verified opinions

Decentralized Marketplace Discovery

  • Results remain trustworthy across multi-vendor, multi-country ecosystems

NFT-Based Product Linking

  • Digital twins keep high-value items traceable from creation to resale
Architecture overview

AI Semantic Search reference flow

From query capture to vector retrieval, personalization, and multichannel delivery.

1

User Query (Text / Voice / Image)

  • Captured via web, mobile, or WhatsApp
  • Supports typed, spoken, and image-based intent
2

Query Processor (NLP / CV)

  • NLP intent detection, entity extraction, typo handling
  • Computer vision tags uploaded images
3

Semantic Vector Engine

  • Embeddings + similarity search
  • Vector DB + ANN recall tuned for commerce scale
4

Ranking & Personalization

  • Behaviour + rules fused in real time
  • Cohorts, purchase history, and live interest
5

Product Catalog & Metadata

  • AI-enriched attributes and tags
  • Feeds from PIM, ERP, CMS stay quality-gated
6

Search Result Delivery

  • API response shaping per channel
  • Experimentation hooks + analytics
7

Multi-Channel Output

  • Web, mobile apps, WhatsApp/Chat, marketplaces
Integrations

Connect semantic search to your commerce, marketplace, and ERP stack

Commerce Platforms

  • Shopify
  • Magento
  • WooCommerce
  • BigCommerce
  • Custom headless commerce

Marketplaces

  • Amazon
  • Flipkart
  • Noon

ERP / CRM & Data

  • ERP and CRM integrations
  • Product feed APIs
Value propositions

Outcomes your growth, product, and search teams gain

01

3 to 6x better relevance

02

20 to 30% conversion uplift

03

40% reduction in “No Results Found” results

04

25% reduction in search abandonment

05

2x improvement in repeat visits

06

Personalization drives higher average order value

Engagement Models

Choose how you want to collaborate

Why Mobiloitte

Semantic search engineers with enterprise DNA

550+ enterprise AI deployments

Multilingual AI search expertise

Private cloud & on-prem AI experience

Full-stack commerce + AI + Blockchain knowledge

Cross-platform integration capability

Upgrade Your Search from Keyword-Based to Intent-Based.

Increase conversions, reduce bounce rate, and deliver stunning discovery experiences.

Talk to Search ExpertSee Live Search Demo

AI Semantic Search & Discovery FAQs

Everything product, search, and growth leaders ask before shipping semantic discovery at scale.

Does AI search work with incomplete or messy queries?

Yes. Semantic search understands meaning, intent, and context even when the query is incomplete.

Does it work with large product catalogs?

Yes. It scales to millions of SKUs with vector databases and streaming ingestion.

Will this integrate with Shopify/Magento?

Yes. API-first architecture ensures smooth integration with Shopify, Magento, and custom stacks.

Does this reduce “No result” pages?

Yes. Most clients see 30 to 50 percent fewer zero-result sessions.

Can this personalize search ranking?

Yes. Every user sees ranking tuned to their behavior and preferences.

Can this search engine support multilingual queries?

Yes. Hindi, Arabic, English, and other Indic languages are fully supported.

Can we run this on-premise?

Yes. It can be deployed in private cloud or on-prem environments for regulated industries.

Do we need clean product data?

No. The platform enriches tags and attributes automatically to reduce manual clean-up.

Does it support voice search?

Yes. It converts voice inputs into intent signals for relevant results.

Will Mobiloitte handle catalog cleanup?

Yes. Auto-tagging, duplicate detection, and enrichment reduce manual catalog work.