QUANTIS INTEL · METHODOLOGY
How we do it.
Our methodology is designed to translate verified market data into structured decision intelligence — fast, consistent, and without manual error.
DATA SOURCES
Verified primary sources only.
UNITED KINGDOM
SIGNAL TYPES
- Market and structural data
- Regulatory developments
- Competitive pricing and market share
- Consumer behaviour and trends
- Macroeconomic indicators
SCORING MODEL
From raw data to decision intelligence.
Primary source ingestion
Verified sources from UK government agencies, trade bodies and research institutions are ingested into our data architecture.
Filtering market-relevant signals
The intelligence pipeline isolates market-relevant signals: regulatory shifts, competitive dynamics, consumer behaviour and margin drivers.
Strategic prioritisation
Signals are weighted by strategic relevance and fed into a scoring model that reflects decision priorities for e-commerce leaders.
Decision-ready formatting
Raw data is translated into structured, C-level analysis — with clear recommendations instead of data mountains.
QUALITY ASSURANCE
Reviewed multiple times before it reaches you.
AI review
Every analysis is checked by our intelligence pipeline for internal consistency and source integrity.
Editorial pass
Before publication, a manual editorial quality check is performed.
Source verification
Primary sources only — from official government bodies and accredited industry institutions.
FROM SIGNAL TO RECOMMENDATION
How a data point becomes an action.
Every report contains prioritised action recommendations. They are not opinion — they are derived directly from verified signals. Two anonymised examples from recent UK reports:
EXAMPLE 01 · MARKET STRUCTURE
SIGNAL
ONS retail sales data shows UK e-commerce share of total retail at 26.8 % in Q1 2026 — flattening from the 2022 peak, with deceleration in non-food categories.
PIPELINE EVALUATION
High strategic relevance: confirmed structural shift + verified primary source + measurable impact on fulfilment economics.
RECOMMENDATION IN REPORT
Reallocate fulfilment capacity towards next-day delivery differentiation — UK online share is reaching saturation, and speed is becoming the primary lever for incremental share.
EXAMPLE 02 · REGULATORY RISK
SIGNAL
FCA consultation paper on Buy-Now-Pay-Later regulation — bringing BNPL under FSMA oversight with new affordability and disclosure requirements for merchants.
PIPELINE EVALUATION
High regulatory implication: compliance obligation + direct impact on checkout conversion mix + time-critical window.
RECOMMENDATION IN REPORT
Audit BNPL provider mix and contractual exposure within 90 days — with mapping of affected providers and contingency for compliant alternatives.
Convinced by the methodology?
See what our intelligence pipeline produces.