UK RETAIL PRICING INTELLIGENCE
Understand how retailers price, promote and compete.
See how 100+ UK retailers change prices, promotions and assortments over time — using more than 680 million historical product observations.
From individual SKU histories to category benchmarks, Modo provides the data and analytical context to identify competitive movements that point-in-time price feeds cannot reveal.
100+
UK retailers
4+ Years
of pricing history
680M+
product observations
Daily
data collection
Real pricing behaviour across major UK retailers
Today’s prices are easy to collect. Yesterday’s market isn’t.
Modo has continuously captured UK retail product and pricing behaviour since 2022. That historical record cannot be recreated retrospectively — and it provides the foundation for understanding how retailers and markets change.
MORE THAN PRICE TRACKING
See the behaviour behind the price.
A single price tells you very little. Modo adds the historical, lifecycle and competitive context needed to understand what is changing across a retailer, category or market.
Pricing Position
Compare retailer price levels, distributions and positioning against the wider category.
Promotional Behaviour
Measure discount breadth and discount depth and see how promotional activity changes over time.
Price Movement
Identify price increases, reductions, markdowns, recoveries and sustained changes.
Newness
Understand when products enter an assortment and how quickly categories are refreshed.
Assortment
Track additions, removals, assortment size and retailer share of the observed category.
Competitive Benchmarking
Analyse each retailer relative to the category around it rather than viewing metrics in isolation.
THE DATA ARCHITECTURE
Start with the level of data you need.
Modo preserves the original observations while progressively adding product history, lifecycle intelligence, standardised taxonomy and competitive benchmarks — so your team doesn’t have to build those layers from scratch. This is delivered through a layered Medallion architecture.
BRONZE
Raw Observations
- Raw daily CSV collection
- Original product observations
- Full historical retention
- Auditable source data
SILVER
Clean & Structured
- Partitioned Parquet
- Persistent SKU history
- Lifecycle calculations
- Normalised analytical structures
GOLD
Business Intelligence
- Retailer & category metrics
- Fashion DNA
- Data quality status
- Competitive benchmarks
AI & ANALYTICS
Query & Discover
- Natural-language analysis
- BI & SQL
- Machine learning
- Customer data products
Raw observations → historical context → trusted intelligence → queryable market insight.
SKU LIFECYCLE INTELLIGENCE
A price is just the beginning.
Modo builds persistent product memory so today’s observation can be understood in the context of what happened before it.
Today’s Observation
Product X — £42
↓
SKU History
Previous price £50 / 30-day maximum £60 / Lifetime maximum £65
↓
Lifecycle Intelligence
Markdown detected / Discount depth measured / Price movement classified / Newness and removal tracked
↓
Competitive Intelligence
Retailer discount breadth / Average discount depth / Clearance / Assortment movement / Category benchmark
FASHION DNA
A common analytical language across retailers.
Retailers organise and describe their ranges differently. Modo normalises those structures into a consistent fashion taxonomy so the market can be compared on a common basis.
LEVEL 1
Department
The broad area of the retail assortment.
LEVEL 2
Canonical Category
A consistent category definition shared across retailers.
LEVEL 3
Garment
The specific garment type represented by the product.
LEVEL 4
Fashion DNA
A structured product identity for deeper cross-retailer comparison.
Why it matters: retailer taxonomies rarely align. Modo creates a common analytical structure so cross-retailer comparisons can be made consistently — while retaining garment-level detail to help explain differences in assortment mix.
DATA YOU CAN TRUST
Quality monitoring is built into the pipeline.
Retail websites change. Collections fail. APIs return unexpected values. Modo automatically tests retailer observations and flags anomalous collections so affected data can be excluded from trusted analytical views.
PASS
Collection operating normally.
INFO
Minor condition worth recording.
WARNING
Behaviour requiring investigation.
CRITICAL
Observation flagged for exclusion from trusted analysis.
Automated checks monitor collection completeness, missing retailers, abnormal assortment movement, unusual pricing behaviour and systemic collection failures.
COMPETITIVE BENCHMARKING
Understand a retailer in the context of its market.
Gold-layer data products combine retailer metrics with category comparators so relative competitive position can be analysed alongside the underlying observations.
| Metric | Retailer | Category | Relative Position |
|---|---|---|---|
| Average price | £26.89 | £33.95 | 0.79× |
| Discount rate | 31% | 57% | Below category |
| Clearance rate | 8% | 17% | Below category |
| Tracked assortment share | 3.8% | — | Category share |
Move beyond “What is this retailer doing?” to “How differently is this retailer behaving from its competitors?”
What does four years of history let you investigate?
A current-price feed shows where a retailer is today. Historical intelligence lets an analyst investigate when a material change occurred, what else changed around it, whether it persisted and how competitors moved at the same time.
Price movement → promotional change → assortment movement → garment mix → persistence → competitor context.
Modo provides the evidence to investigate those relationships without claiming a commercial cause that the observed data cannot prove.
AI-READY BY DESIGN
From data to an answer — in plain English.
Modo’s analytical datasets can be connected to conversational BI and AI tools, allowing complex questions about retailer and market behaviour to be investigated without manually querying hundreds of millions of product observations.
“Which retailers have shown the most significant changes in pricing or promotional behaviour during the last 30 days?”
Modo’s Gold analytical datasets can be queried using natural language through Amazon Quick, demonstrating how complex questions about retailer and market behaviour can be investigated without manually querying hundreds of millions of product observations.
The analytical layer can evaluate movements in average and median price, discount breadth, discount depth, clearance, new-product rates, assortment size and competitive indices — then help distinguish persistent changes from one-day movements.
The objective is not simply to make raw data available to AI. It is to give AI a structured, governed and commercially meaningful data layer to reason over.
WHAT YOU RECEIVE
Data that is ready to use.
Choose the level of detail appropriate to your analysis rather than starting with an archive of raw source files.
Product History
Daily product observations and historical pricing for detailed analysis and research.
Lifecycle Intelligence
Previous prices, historical maxima, markdown state, product newness and lifecycle measures.
Fashion Intelligence
Normalised categories, garment classifications and Fashion DNA for consistent cross-retailer analysis.
Market Intelligence
Retailer/category summaries, promotional metrics, quality status and competitive benchmarks.
Delivered in analysis-ready formats for integration into your existing data, BI or AI environment.
Built for modern data stacks
Data is delivered in efficient analytical formats rather than as an unwieldy archive of source files.
Parquet / Amazon S3 / AWS Glue / Amazon Athena / Amazon Quick / Snowflake / Databricks / BigQuery / Redshift / Spark
From SQL and BI to natural-language AI analysis, Modo is designed to work with modern analytical platforms and data environments.
Buyers can work at the level appropriate to the task — from detailed product history through to compact business-ready Gold datasets.
One data platform. Multiple analytical use cases.
Competitive Intelligence
Monitor how competitors change pricing, promotion, assortment and category position.
Market Analysis
Identify category-level movements and unusual or emerging retailer behaviour.
Historical Research
Analyse years of observed behaviour rather than relying on point-in-time snapshots.
AI & Machine Learning
Use structured longitudinal data for modelling, prediction and AI-driven analysis.
Consulting & Advisory
Add independent market evidence to commercial, strategic and competitive analysis.
Data Products
Integrate Modo intelligence into dashboards, platforms, research products and proprietary applications.
ACCESS MODO
Choose the intelligence layer you need.
Historical Data
Multi-year product and pricing history for research, modelling, backtesting and bespoke analysis.
Intelligence Data Feed
Continuously updated analytical datasets incorporating lifecycle, taxonomy, quality, category and benchmark intelligence.
Enterprise & Strategic Licensing
Broader access to Modo data assets, analytical methodology and platform capabilities for organisations with specialist requirements.
Strategic licensing and other commercial arrangements can also be discussed where appropriate.
Four years of history can’t be recreated tomorrow.
Building a data pipeline is possible. Reconstructing years of daily observations, product histories and retailer behaviour is not. Modo combines that historical asset with the infrastructure needed to turn it into usable intelligence.
Historical Dataset
A continuously accumulated record of UK retail behaviour dating back more than four years — an asset that cannot be recreated retrospectively.
Continuous Collection
Daily collection continually extends the historical record and captures market changes as they happen.
SKU Memory
Persistent historical state provides the context required to interpret current prices, markdowns and product lifecycle.
Fashion DNA
A common fashion taxonomy makes cross-retailer analysis more consistent while retaining visibility of underlying assortment composition.
Quality Framework
Automated checks identify collection failures and abnormal source behaviour so affected observations can be flagged for analytical use.
Benchmark Intelligence
Business-ready datasets place retailer behaviour in market context through category comparators and competitive benchmarks.
See the data before you decide.
Request a representative Modo sample containing product history, lifecycle measures and analytical outputs, together with information explaining the data structure. You can also discuss ongoing access or broader strategic licensing requirements.
For general enquiries call Stew on 07818 077412 or email stew@modoretail.co.uk