From shelf photo to verified data
Our Methodology
Most shelf recognition stops at the algorithm. Ours doesn't. Three stages mean every data point in your dashboard has been checked and verified before you act on it.
Multi-stage AI analysis, verified by retail specialists
Scalable AI Processing
Image Pre-Processing
We resize, normalise, and enhance every in-store photo so the AI can read labels, packaging, and shelf tags with maximum clarity.
Zero-Shot AI Engine
Our core platform provides instant, any-market coverage of any product with zero training lag, capturing entire category layouts right out of the box.
Custom Pattern Recognition
Custom-Trained Models
We train specific models to identify your exact portfolio and competitor SKUs, flagging subtle packaging updates or design variations.
Planogram & Compliance Auditing
The system automatically cross-references digitised shelf layouts against your agreed store-level templates, tracking brand positions, pricing ladders, and stock gaps.
Quality Control & Verification
Automated Quality Control
The system automatically flags any inconsistencies (e.g. promotional stickers, packaging variations, or obstructed tags) for further review.
Retail Specialist Review
Unlike fully automated 'black box' AI systems that pass classification errors straight to your dashboard, we add a final layer of human quality control.
The result: 100% verified data accuracy
Your teams can confidently use our dashboard data to defend category space, protect promotional margins, track competitor pricing, and direct field teams to the highest-value store-level actions.
One platform, three strengths.
Proprietary technology
VISTA computer vision, custom-trained recognition models and an Azure-backed data platform — built in-house, improved every wave.
Retail intelligence
Millions of shelf-level data points, distilled into store-level commercial recommendations a category director can act on the same day.
Industry leadership
The Perfect Store framework, the Travel Retail Quality Score, and a growing body of category commentary the travel retail industry actually reads.
Built by retail experts.
We are a team of retail experts with over 50 years of combined experience in the industry. Our journey began with a simple yet powerful mission: to help brands and retailers make faster, smarter, and more informed decisions about their retail execution.
Case study
Diageo — Johnnie Walker (Frankfurt)
The world's biggest whisky was under-spaced, unbranded and below eye level in the category it leads. Store-by-store benchmarking across three Frankfurt terminals gave Diageo the evidence to claim the space back.
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