Go beyond raw extraction — use LLMs, computer vision, and NLP to match products, analyze sentiment, classify attributes, detect counterfeits, and generate insights automatically. 95%+ accuracy on complex tasks.
| AI Model | Task | Accuracy | Use Case |
|---|---|---|---|
| Exact Product Matching | Cross-platform SKU matching | 95.2% | eCommerce, MAP monitoring |
| Similar Product Matching | Equivalent product detection | 91.8% | Private label analysis |
| Sentiment Analysis | Review sentiment scoring | 94.5% | Brand monitoring |
| Attribute Extraction | Auto-classify product attrs | 96.1% | Catalog enrichment |
| Content Scoring | PDP quality assessment | 93.4% | Digital shelf optimization |
| Counterfeit Detection | Fake listing identification | 89.7% | Brand protection |
| Image Classification | Visual product categorization | 94.8% | Catalog automation |
| LLM Extraction | Schema-free data extraction | 92.3% | Unstructured sites |
| Language Detection | 40+ language identification | 98.9% | Global crawling |
| Demand Forecasting | Price/stock trend prediction | 87.2% | Supply chain planning |
Tell us what intelligence you need — matching, sentiment, classification, forecasting.
⏱ Strategy callWe train/fine-tune AI models on your specific data, taxonomy, and business rules.
⏱ 5-10 daysRun pilot with human-in-the-loop validation — measure accuracy, iterate.
⏱ 1-2 weeksDeploy to production with continuous monitoring, retraining, and accuracy tracking.
⏱ OngoingMatch products across Amazon, Walmart, Target, Flipkart — track same SKU pricing, availability, and content across every retailer.
AI-powered monitoring of Minimum Advertised Price compliance across all sellers and marketplaces — instant alerts on violations.
AI sentiment analysis across millions of reviews — understand customer pain points, feature requests, and competitive perception.
AI-score every product listing for content quality — title, description, images, A+ content — with competitive benchmarking.
ML models predict price trends, stock-outs, and demand shifts — enabling proactive pricing and inventory strategies.
Use LLMs to extract structured data from unstructured sources — PDFs, legal docs, financial filings, medical records without CSS selectors.
Computer vision to identify products from images — shelf placement analysis, competitor display monitoring, retail execution audits.
AI models detect fake/incentivized reviews, review manipulation, and review bombing — protect brand reputation and consumer trust.
Automatically extract and classify product attributes — color, size, material, features — enrich thin catalogs with AI-generated data.
AI-powered NLP across 40+ languages — analyze Arabic, Hindi, Chinese, Japanese markets without manual translation.
GPT-powered analytics — ask questions about your competitive data in natural language, get instant AI-generated insights and charts.
AI-powered analysis of token sentiment, project quality scores, scam detection, and DeFi risk assessment using web + social data.
AI extraction from clinical trials, drug databases, adverse event reports — power pharmacovigilance and competitive intelligence.
AI-analyze sustainability reports, carbon disclosures, and supply chain data — build ESG scores for investment and compliance.
AI-analyze competitor ad creatives — visual themes, copy patterns, A/B test variants, performance signals across Meta, Google, TikTok.
ML-powered property valuation using scraped listing data, comparables, neighborhood signals, and market trends from 100+ RE platforms.
AI-analyze job postings, salary trends, hiring patterns, skill demand — power workforce planning and competitive talent benchmarking.
AI-driven dynamic repricing based on competitor prices, demand signals, inventory levels, and margin targets — real-time optimization.
Industry-leading product matching with LLM + CV hybrid models. Continuously improving via human feedback.
We train AI models on YOUR taxonomy, rules, and edge cases — not generic one-size-fits-all models.
200+ human validators ensure accuracy for edge cases. Continuous feedback loop improves models over time.
NLP models that work across Arabic, Hindi, Chinese, Japanese, EU languages — true global intelligence.
Ask questions about your data in plain English — get AI-generated insights, charts, and recommendations.
Enterprise-grade security, compliance, and data handling standards. Your data is safe with us.
Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
Watch how businesses like yours are using Actowiz data to drive growth.
From Zomato to Expedia — see why global leaders trust us with their data.
Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.
We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.
Complete guide to scraping Shopify store data in 2026. Extract product prices, reviews, and inventory from Shopify stores for competitive intelligence.
Discover how Natural Grocers achieved a 23% increase in promotional ROI using real-time organic product pricing intelligence. Learn how data-driven pricing strategies enhance promotions and retail performance.
Track UK Grocery Products Daily Using Automated Data Scraping across Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, and Ocado for insights.
Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.