Applied AI · Ecommerce analytics
From a sales export to decision-ready insight.
A portfolio proof of concept showing how a structured AI-assisted workflow can validate ecommerce data, reveal commercial patterns and turn analysis into prioritised human decisions.
Q3 commerce analysisValidated · insight review pending
Orders
4,21898.6% validAverage order
£67.47+4.8% simulatedData issues
17Review requiredRevenue by category
Commercial signals
01Outerwear leads revenueValidate margin before increasing visibility.
02Repeat orders lift AOVSegment retention behaviour next.
03Two products need reviewHigh returns offset sales strength.
ProductRevenueMarginStatus
Alpine Wool Coat£38,24058%Strong
Ribbed Merino Knit£26,81063%Strong
Project scope
Analysis that stays tied to evidence.
The workflow separates verified calculations from interpretation and recommendations. It demonstrates how AI can accelerate business analysis without hiding data-quality problems, analytical limits or the need for commercial judgement.
Five-stage workflow
Raw commerce data becomes an accountable decision trail.
Each stage records what was checked, what the data supports and where further context is needed before a business action is taken.
Validate
Inspect structure, types, gaps, duplicates and inconsistent records.
Explore
Calculate supported revenue, order and category measures.
Compare
Examine products, segments and periods using appropriate views.
Interpret
Separate verified findings from hypotheses and commercial judgement.
Report
Translate analysis into risks, opportunities and prioritised next steps.
Connected views
See the analysis—and how it was reached.
The interface makes the path from uploaded data to executive recommendation visible, reviewable and reusable.
01 · Orient06 · Reuse
Analysis workspace
See the dataset, KPI summary and analytical questions in one view.
↗02 · ValidateData quality
Surface missing values, duplicates and anomalies before interpretation.
↗03 · CompareProduct performance
Compare revenue, margin, order volume and return signals together.
↗04 · InterpretInsight review
Connect findings to evidence, limits and the next question to ask.
↗05 · CommunicateExecutive report
Turn approved findings into a concise decision-support narrative.
↗Prompt pattern
Repeat the structured analysis safely with another suitable dataset.
↓AI accelerates analysis.
People own the decision.
This concept applies task decomposition, structured output design and human review to a familiar business problem: understanding ecommerce performance without confusing confident presentation for reliable evidence.