Bring the store to your desktop

Dashboards & Reports

Immediate visibility over brand compliance, competitive share of space, and promotional execution. Spot execution issues, track competitor activity, and monitor pricing ladders wave-on-wave.

Global View

Share of space, distribution, visibility and promotional depth, region by region — any wave against any wave, filterable by supplier, retailer, category, sub-category and brand. Drill down from any gauge; exclude promotional fixtures with a switch.

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Share of space by region

Regional donut gauges benchmark your share of space against total category allocation across Europe, Asia, Americas, and IMEA, with wave-on-wave percentage deltas.

Regional distribution & whitespace

Track your brand's presence across the audited global estate. Gauge panels identify regional listing gaps and quantify distribution opportunities at a glance.

Visibility & fixture branding mix

Measure the quality of space secured. Compare the proportion of permanent branded fixtures, generic bays, secondary promotional units, and high-profile positions (HPP) by region.

Promotional depth benchmarking

Compare average discount depth between your portfolio and the broader category across each region, highlighting where price promotion is driving volume or eroding margin.

Cross-market drill-down

Open any regional metric into a full comparative matrix. Slice data across four dimensions — brand, retailer, airport, or store — to pinpoint what drives the macro trend.

Promotional fixture switch & filters

Toggle promotional and secondary placements on or off with a single switch to isolate permanent core space from temporary campaign noise.

Store View

Pick a wave, region, airport and store — then work through ten tabs, from benchmarks to fixture photographs. A screen from each group:

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Store benchmark & evolution

The store benchmarked against its regional and global averages — SKUs, facings, linear metres, price and promotion — with period-on-period change on every measure.

Floor plans & fixture verification

An interactive store blueprint showing linear share, with every audited fixture photo one click away. Verify shelf placement directly against the photographic evidence.

Pricing & currency intelligence

Price-range distribution and period-on-period price moves, in USD or local currency, with promotional depth, mechanics and facings by brand.

Promotions & mechanics ledger

Full visibility into promotional execution: share of SKUs on deal, promotional facings by brand, discount depth %, and exact retail mechanics from multi-buys to cash savings.

Cross-retailer comparison

Compare supplier and brand share across competing travel retailers — such as Avolta, Heinemann, Lagardère, and ARI — across any two regions or audit waves.

Build-your-own ad-hoc analysis

Pick a measure, add any stores and periods, and compare across your selection — then save the analysis and reload it wave to wave.

Custom Dashboards

Configured case by case — your categories, your must-stock list, your competitive set, your target metrics — and every number in them links back to the verified fixture photograph it came from. Built in Power BI on Azure-backed, Microsoft-supported architecture, and delivered in sync with your planning rhythm.

Click thumbnails for interactive tour

Perfect Store scorecard

Store-level measurement and scoring against your agreed metrics. Gauges track the Perfect Store score and its components — distribution, eye-level position, facings — for the current period against the last, with every store ranked side by side. Planogram scores sit alongside, brand by brand.

Fixtures & store maps

Bring the store to your desktop. Store floor plans, fixture photographs and brand performance sit side by side, so you can walk a location from your desk — and check any score against the photo it was scored from.

Share of space vs market share

Measure, track and benchmark share of space at category, supplier, brand and SKU level — then set it against market share to see who is over- and under-spaced. Trend bars show the evolution wave by wave, viewable globally or by region, airport and store.

Must Stock Lines distribution matrix

Your priority SKUs checked against every location in the programme: a distribution grid of SKU against store, with a global distribution figure and per-store percentages. Missing listings — and the lost sales they represent — show up as white space, alongside new market opportunities.

Promotional depth & mechanics

Monitor retail promotion as it actually ran: the share of your must-stock list on promotion, depth of discount at SKU level against the competitive set, and the mechanics behind it — percentage discount, multi-buy, free gift — broken down by supplier and brand.

Competitive price laddering

Paired price comparisons between your SKUs and their direct competitors, by region, with average prices and the percentage gaps between them. This is the view for spotting missed margin: where the ladder says a price rise is available, and where a competitor has moved without you.

Reporting rapid enough to act on.

Compliance scores land in the dashboard with the photographic evidence attached, flagged gaps feed action tracking and issue resolution, and fixes made this wave show up in the next wave's scores. The cycle behind this is the monthly Shelfcheck audit.

Beyond the dashboards

Bespoke analysis and category reports.

From distribution and pricing to promotions and competitor activity, each report focuses on the insights that matter most — clear, actionable direction grounded in real in-store data.

Pricing & promotion deep-dives

Bespoke competitive-set price analysis for clarity on missed margin realisation, and promotional analysis to inform and set discounting strategy.

Size of prize

Quantified growth opportunities, viewable by region, retailer, airport and store — so the next commercial conversation starts with a number.

Category expertise

Category experts convert the data into commercial recommendations: quantified opportunities with clear direction on where to focus.

Dashboards & Reports — FAQ

What reporting do you get with Shelftrak?

Access to Shelftrak's own web platform, not a folder of files. Native views — a global regional overview, store maps, every audited fixture photo, pricing, promotion and space analysis — are built into the platform; embedded alongside them, custom analytics dashboards (Power BI, on Azure-backed, Microsoft-supported architecture) carry the client-specific scoring and deeper analysis: the Perfect Store scorecard, share of space versus market share, the Must Stock Lines distribution matrix, promotional depth and mechanics, and competitive price ladders. Bespoke airport, market and category reports go deeper still.

Are the dashboards standard or bespoke?

Bespoke on a standard foundation. The six core views are common to most clients, but each is tailored and set up case by case: your categories, your must-stock list, your competitive set, your target metrics. Bespoke data views can also be added to aid commercial team planning — the Perfect Store dashboard itself is configured per client.

How far down can you drill?

From global to a single fixture. Views aggregate at global, regional, airport or banner, retailer and store level, and drill to individual SKUs — and because every data point starts as a shelf photograph, the bottom of every drill-down is the fixture photo itself, not an estimate.

What's in a Perfect Store scorecard?

Gauges for the Perfect Store score and its component scores — distribution, eye-level position and facings — comparing the current audit period with the last, plus per-store rankings and brand-level planogram scores. It shows which stores hold the standard, which are slipping, and where the next point of score is most cheaply won.

Can reports feed our own planning cycle?

Yes — reporting is delivered in sync with your planning rhythm rather than on a fixed schedule, and bespoke reports (size of prize, price and promotion deep-dives) are built around the decisions you're planning: range reviews, space negotiations, discounting strategy.

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.

Read the case study

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