FUEL YOUR RETAIL AI WITH PRECISION DATA
The High-Quality Data Engine for Retail AI
Don’t let “garbage in, garbage out” undermine your AI strategy. Power your Large Language Models (LLMs) and predictive algorithms with the world’s most accurate, real-time retail intelligence.
The Problem: AI is Only as Smart as Its Data
In the race to adopt AI, many retailers fail because their models are built on fragmented, stale, or “dirty” data. To achieve true competitive advantage, your AI needs:
- Completeness: No gaps in competitor pricing or assortment.
- Granularity: Data at the EAN/GTIN level for perfect matching.
- Freshness: Real-time updates to capture market volatility.
OUR AI-READY DATA CAPABILITIES
We provide structured, high-fidelity data feeds specifically optimized for machine learning and RAG (Retrieval-Augmented Generation) architectures.
Harmonized Product Feeds
We normalize millions of data points from diverse sources into a single, clean schema. Impact: Your AI spends 0% of its time cleaning data and 100% of its time generating insights.
Automated Competitive Benchmarking
Feed your dynamic pricing algorithms with real-time price, stock, and promotion data from any competitor website.
Impact: Reach price elasticity y = f(x) faster with high-variance historical data.
Sentiment & Trend Analysis
Capture and structure customer reviews and social signals into sentiment scores ready for LLM processing.
Impact: Predict the next “bestseller” before the trend peaks.
WHY RETAIL SHAKE FOR AI?
| Feature | Generic Scrapers | Retail Shake AI-Data |
|---|---|---|
| Data Integrity | Low (Frequent breaks) | 99.9% Accuracy |
| Matching | Manual / Heuristic | AI-Powered Image, Features Standardisation & Text Recognition |
| Standardisation | No | Mapping with GS1 / GPC / ETIM / FAB-DIS |
| Delivery | CSV / Bulk | Real-time API & Webhooks |
| Scope | Limited | 360° View (Price, Promo, Stock, Reviews) |
| History | No | Up to 7 years history |
USE CASES FOR YOU DATA SCIENCE TEAM
Dynamic Pricing:
Feed real-time competitor moves into your pricing engine.
Inventory Optimization:
Use stock-out alerts to train predictive supply chain models.
Assortment Intelligence:
Use our “Gap Analysis” data to identify white spaces for new product launches.
Backtesting
Use our historical data (up to 7 years!) to train your predictive models (investment strategy, pricing, supply-chain, etc.).
TRUSTED BY DATA-DRIVEN LEADERS
READY TO SUPERCHARGE YOUR MODELS?
Stop scraping. Start scaling. Get the clean, structured data your AI deserves.