AI Solutions for eCommerce & Retail
AI Is Reshaping Digital Commerce
Hyper-Personalization
Tailoring every pixel to user intent.
Intelligent Merchandising
Automated tagging and catalog enrichment.
Dynamic Pricing
Real-time adjustments based on demand elasticity.
Predictive Forecasting
Reducing stockouts and dead inventory.
Predictive Forecasting
Reducing stockouts and dead inventory.
Operational Efficiency
Automating support and returns processing.
Key Challenges We Solve
Low Conversion Rates
Irrelevant search results & generic recommendations reduce add-to-cart.
High CAC
Paid channels are saturated; organic personalization becomes critical for ROI.
Poor Discovery
Large catalogs overwhelm users; manual tagging can’t keep up.
Cart Abandonment
Lack of personalized nudges, pricing clarity, and instant support.
Price Sensitivity
Dynamic market requires automated, data-driven price adjustments.
Manual Ops
Time-consuming tagging, rewriting, cropping, and enrichment.
Stockouts / Overstocks
Weak forecasting leads to lost revenue or capital tied up in dead stock.
Data Silos
Customer data remains unused; no CLV or behavior-driven insights.
Support Overflow
Agents overloaded during peaks → long wait times → poor NPS.
Our Ecommerce AI Solutions
AI Strategy & Roadmapping
Irrelevant search results & generic recommendations reduce add-to-cart.
LLM & Generative AI Engineering
Conversational shopping copilots, Natural language search, and Bulk product description generation.
RAG Systems
Shipping/Return policy retrieval, Intelligent FAQs, and Compliance assistants.
AI Agents & Multi-Agent Automation
Merchandising automation, Abandoned cart recovery agents, and Auto-tagging.
Predictive Analytics & ML Models
Demand forecasting, Predictive replenishment, CLV prediction, and Dynamic pricing.
Computer Vision & Visual Intelligence
Automated image tagging, Visual search, and Return-fraud detection.
MLOps & AI Infrastructure
Real-time recommendation engine hosting, Search inference optimization, and PIM/ERP integration.
Ecommerce AI Use Cases
Online Stores & Marketplaces
- Personalized recommendations
- AI-powered product search
- Visual search & visual similarity
- Dynamic pricing & bundling
Retail & Omnichannel
- Demand forecasting per store
- Inventory optimization
- Loyalty personalization
- Footfall prediction
D2C Brands
- Customer segmentation & CLV
- Influencer intelligence
- Post-purchase automation
- AI tagging & catalog QA
B2B Distributors
- Intelligent replenishment
- SKU-level forecasting
- Order recommendation engine
- Bulk pricing optimization
Measurable Business Impact
Flexible Engagement for Retail Scale
Dedicated AI Pods
Specialized teams for Search, Recommendations, and Data Engineering.
Sprint-Based Delivery
Agile development: POC → Pilot → Production Scale.
Hybrid Teams
24/7 support and monitoring options for high-traffic platforms.
Start with a 7-Day Retail AI Audit
Commerce Ready Tech Stack
Languages
Python
Node.js
Frameworks
TensorFlow
PyTorch
FastAPI
Search & Vector
Elasticsearch
Pinecone
Milvus
LLMs
OpenAI
Claude
Llama 3
Cloud
AWS
GCP
Azure
Data
Snowflake
Databricks
Why Inexture for eCommerce AI?
12+ Years Building Enterprise Commerce Solutions.
Deep Search, Recommendation & Personalization Expertise.
Strong PIM, OMS, CRM, and ERP Understanding.