UK Retail Intelligence

Score any UK location for your retail concept

Enter a postcode. Choose your format. Get a full AI-supported assessment with scores, competitive analysis, and a written narrative — in under 60 seconds.

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£9.99 per assessment Credits never expire All UK postcodes Real data — not estimates

Four ways to use Shopwizard

Different situations need different tools. Choose the mode that matches where you are in your decision process.

1
I have a site in mind
Assess a specific site
Enter a UK postcode and your store concept. Get a full 10-section written assessment — demographic fit, competitors, footfall, planning, accessibility, and a revenue prediction.
1 credit · Full narrative included
2
I'm still looking
Find available sites
Enter any town, postcode, or area. See available commercial units from government property registers and live planning change-of-use signals — units becoming available before they hit the open market. Use class flagged on every result.
Free — no credit needed
3
I want to explore an area
Find sites and assess the best ones
Tell us an area and your concept. We find available commercial units nearby and run a quick score on each — so you can see which sites are worth a full assessment before spending time on site visits.
1 credit · Quick scores on up to 3 sites
4
I'm comparing shortlisted sites
Scan and shortlist
Got a shortlist of up to 5 postcodes? Enter them all at once. We run a quick assessment on each and rank them by score — so you can pick the strongest site and get the full report on just that one.
1 credit for all 5 · Pick one for full report

From postcode to decision in five steps

No spreadsheets. No guesswork. A full investment-grade report for the price of a sandwich.

1
Choose your mode
Assessing a known site, exploring an area, or comparing a shortlist — pick the mode that fits.
2
Enter your location
Any UK postcode or town name. Tell us your store format — café, gym, convenience, pharmacy, restaurant, or any other retail type.
3
Add your benchmarks (optional)
Already have stores? Enter up to 5 existing postcodes and their average weekly sales. We use your own data to calibrate the revenue prediction.
4
We pull real data
Demographics, competitor data, deprivation indices, planning constraints, commercial rent data, and environmental risks — all gathered in parallel from licensed UK sources.
5
Get your full report
A 10-section AI-supported narrative: score, revenue prediction, competitor map, demographic analysis, planning pipeline, and a clear recommendation.

This is what a Shopwizard report looks like

Not a score and a graph. A structured narrative that tells you whether to proceed — and exactly why.

M1 1AE — Coffee Shop / Café
Manchester City Centre · Mid-market · Medium format (500–2,000 sq ft) · Use class E(b)
OVERALL SCORE
78
out of 100
STRONG RECOMMEND
Competitor proximity
62
Demographic fit
88
Footfall
82
Findability
76
Accessibility
80
Planning
85
AI-supported assessment narrative
Executive Summary

This site scores 78/100 and carries a STRONG RECOMMEND verdict for a mid-market coffee shop concept. The location benefits from exceptional footfall anchors, a young professional demographic well-matched to premium coffee spend, and no direct branded competition within 300m — a rare combination in this area of central Manchester.

Location & Catchment

M1 1AE sits within Manchester's Northern Quarter, a dense urban neighbourhood characterised by creative sector employment, residential development, and strong daytime footfall from retail, office, and cultural activity. The 800m catchment contains approximately 31,000 working-age residents, with a median age of 29 — squarely within the 22–40 sweet spot for discretionary coffee spend. IMD Decile 4 (below average deprivation) signals a population with reasonable disposable income for a mid-market proposition.

Competition Analysis

Seven coffee operators identified within 600m, including two Costa, one Caffè Nero, and four independents. Direct branded competition is meaningful, but Northern Quarter's footfall volume typically supports multiple operators — the market is competitive rather than saturated. A 30m frontage site on Thomas Street currently trading as a gift shop presents a potential vacancy signal via recent change-of-use application (E(a) to E(b)) submitted April 2026.

Revenue Prediction

At steady state (18 months post-opening), this site is predicted to achieve £14,000–£20,000/week in a medium-format unit. The lower bound reflects a conservative ramp assuming strong branded competition. The upper bound assumes differentiated product, good in-unit execution, and capture of commuter morning mission trade from Piccadilly Gardens (640m). Average spend per head for mid-market café formats in this demographic is £6.80–£9.40.

Key Strengths

• Young professional demographic with strong discretionary spend profile
• No gap in branded coffee supply within 300m — existing operators confirm demand
• Strong transport access: Piccadilly Gardens (Metrolink/bus) 640m, Manchester Piccadilly 900m

Key Risks & Recommendation

Primary risk is competition density — seven operators within 600m requires a clear point of differentiation. Secondary risk is rental levels: Northern Quarter prime retail rents run £35–£55/sq ft, which requires £16k+/week to service comfortably at standard coffee margins. Recommend progression to heads of terms subject to site inspection and lease terms review.

Run a report for any UK postcode — takes under 60 seconds

One price. No surprises.

Every report is the same full 10-section AI-supported assessment. No tiers, no subscriptions, no add-ons.

Per report
£9.99
Credits never expire. Use them when you need them.
  • Full 10-section AI-supported assessment narrative
  • Revenue prediction with working shown
  • Competitor mapping across all retail categories
  • Catchment demographics vs UK averages
  • Planning pipeline — real application references
  • Existing store benchmarking (up to 5 stores)
  • Environmental risks — flood, radon, noise, air quality
  • Find available sites nearby — free, no credit needed
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Built on real, licensed UK data

Every assessment draws from 15+ licensed and government data sources — demographics, planning records, environmental risk, competitor data, and commercial property registers. No scraping. No guessing.