UK Retail Pricing Intelligence

A proprietary retail pricing dataset and AI optimisation platform.

Understand how retailers price, discount, and compete — over time.

Daily pricing history, discount behaviour, and SKU lifecycle analytics across 100+ UK retailers.

Built for consultancies, analytics platforms, brands, and AI-driven data teams who need more than today’s price.

• Raw history from April 2022
• Derived analytics from March 2024
• Daily updates
• 100+ UK retailers

Most pricing datasets show snapshots. This dataset shows behaviour.

Anyone can collect today’s prices. Very few datasets capture how retailers actually behave over time.

This dataset reveals:

• when retailers discount
• how deeply they discount
• how often prices change
• how long products stay live
• how pricing strategies differ across competitors

This is the difference between price data and pricing intelligence.

The dataset comes with three layers of structured pricing intelligence

1. Raw Price History

Daily product-level pricing snapshots across 100+ UK retailers.

Includes:

• Retailer.
• Product ID
• Title
• Category
• Product URL
• Image URL
• Price
• Colour

2. SKU Lifecycle Intelligence

• First seen date and price
• Last seen date and price
• Lifetime max price
• Rolling 30-day max price

3. Daily Pricing Analytics

• SKU count
• Average and median price
• Price distribution (p10 / p90)
• Discount rates
• Price change metrics

A dataset built for modern data stacks

The dataset is delivered in columnar Parquet format, optimised for analytics at scale.

Compatible with:

• Snowflake
• Databricks
• AWS Athena
• BigQuery
• Redshift Spectrum
• Spark / PySpark

Why Parquet matters

• Highly compressed (low storage cost)
• Fast query performance
• Schema-based and consistent
• Partitioned for efficient filtering

Designed for immediate ingestion

• Partitioned by retailer / year / month
• Consistent schema across history
• No complex transformation required
• Ready for SQL or Spark queries

Plug directly into your existing analytics environment

AI and Machine Learning

A high-quality dataset for training pricing and retail intelligence models

Because the dataset captures longitudinal pricing behaviour, it is particularly valuable for AI use cases.

Ideal for:

• Price prediction models
• Discount timing models
• Demand / elasticity modelling
• Competitor pricing intelligence
• Assortment optimisation
• Anomaly detection (price spikes / drops)

Why this dataset is valuable for AI

• Structured, clean schema
• Consistent daily frequency
• Large cross-retailer coverage
• Real-world pricing behaviour (not synthetic)
• Long historical depth

Enables models to learn how pricing evolves, not just static values

Example insights

Real differences in retailer strategy

• ASOS: 117k SKUs, ~62% discounted
• Flannels: deep markdown strategy
• Boohoo: price cycling behaviour
• Zara: full-price discipline
• Reiss: premium positioning

What this reveals

• Promotional intensity
• Markdown depth
• Pricing segmentation
• Volatility vs stability

Coverage

Deep UK coverage, updated daily

• 100+ retailers
• Raw data from April 2022
• Derived analytics from March 2024
• Daily updates
• Over 600 million rows of product data, increasing every day

Includes:

• Adidas
• ASOS
• Boohoo
• Flannels
• JD Sports
• Matalan
• Reiss
• Very
• Zara

Built for commercial and data-driven teams

• Consultancies – Pricing strategy and competitive benchmarking
• Analytics Platforms – Integrate pricing intelligence into products
• Brands – Track pricing across stockists
• Investment Teams – Identify margin pressure and trends
• AI / Data Science Teams – Train models on real pricing behaviour

Flexible access to this rich dataset and pricing intellligence

Subscription Access

• Full or partial dataset
• Daily updates
• Parquet delivery
• AWS S3 access or data export.

Platform Licensing / Acquisition

• Full dataset
• Pipelines + logic
• Infrastructure

Built over time, not easily replicated

Requires:

• Years of historical collection
• Daily ingestion reliability
• Large-scale retailer coverage
• Lifecycle tracking logic
• Analytics layer on top

Most datasets show prices – this dataset shows pricing behaviour.

Turn retail pricing behaviour into actionable intelligence

To discuss subscription access to the dataset or to explore acquiring the platform contact us below.

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Meet The Team