Retail Intelligence Platform

Know what your competitors are doing on shelf — before they do.

Name: Kanops
Author: Kanops

Seventeen years of weekly store visits. 357 retailers. 57 seasonal events. The largest proprietary retail image archive in the UK, with twelve AI models that turn it into competitive intelligence.

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The Archive

17 years of retail ground truth.

Proprietary weekly-captured imagery since 2009. Not scraped. Not licensed. Purpose-captured by a team that has been in UK retail stores every single week — covering grocery, general merchandise, and clothing. Cluttered shelves, bad lighting, obstructed views, COVID-era empty aisles. Real retail as it actually is, which is why our models work in production, not just in demos. The 2009–2020 data no longer exists anywhere else.

1.21M+

Retail images

357

Retailers covered

Work in progress!

2009 2026

Most retail AI can answer what. Kanops can answer what, when, and how it is changing. The moat is not code. It is time. And you cannot buy time.

Connected Intelligence

One correction teaches twelve models.

Most retail AI tools work in isolation. Fix an error in one model and the others never learn. Kanops connects every model through a shared feedback loop. A single correction ripples across all twelve models instantly — 79,953 cross-learning entries and counting.

Shared Feedback Loop

Every correction flows through a unified audit trail. Nothing is lost, nothing is siloed.

Cross-Model Triggers

When one model learns something, the others benefit automatically. A correction in one context enriches another with zero additional effort.

Two-Sided Learning

Every client interaction improves the platform for all clients. Most software ships and stays the same. Kanops compounds with every correction.

Delphi — Shipping Now

Seasonal intelligence that no competitor can replicate.

Ask questions in plain English. Compare any retailer across any seasonal event and any year. Plan campaigns with 348,000 images of observed in-store execution — Easter, Christmas, Back to School, Father’s Day, and 53 more. Six connected AI models extract pricing, category mix, and competitive timing at scale.

Delphi dashboard showing 57 events, 348,000 images, Ask Delphi search, and major seasonal event cards

Ask questions in plain English, browse major seasonal events, and access 17 years of retail intelligence from one screen.

ROI calculator showing Christmas grocery spend of £13.8bn and value created per retailer

The value that could be created using Delphi. Market share of event calculated from publicly available market share data.

Seasonal calendar Gantt chart showing Asda's 33 events mapped across the full year

Visualise when every retailer activates every event. Spot overlaps, gaps, and timing patterns across the entire year.

Image gallery browser with channel, retailer, category, and year filters across 187,753 images

Filter by channel, retailer, category, year, month, and brand. Browse 187,753 seasonal images with the photographic evidence behind every data point.

Ask Delphi

Natural language queries across 17 years of retail data. “Show me how Tesco executed Easter vs Sainsbury’s in 2024.”

Competitive Timing

See when every retailer launched every seasonal event, year by year. Spot who moved earlier, who scaled up, who pulled back.

Category Intelligence

Product mix, pricing trends, and space allocation across 57 events. Data from real stores, not surveys or panel estimates.

See Delphi →

Coming Next

Weekly Intelligence

The same models, the same archive, applied to weekly trading. Pricing moves, ranging changes, promotional activity — captured and analysed continuously across the full 1.2 million image archive.

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Trust

GDPR-ready. Human-verified.

Every image passes through a proprietary privacy pipeline before it is processed or licensed. GDPR-compliant anonymisation, human-reviewed quality assurance at every stage, zero automated deletions. Privacy and data integrity are foundational, not afterthoughts.