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Retail Software

Retail Floor Plan Intelligence Software for Enterprise Groups across the UAE

Custom retail floor plan intelligence software for UAE enterprise groups — designed to turn store layouts, fixture positions, and product placements into measurable space productivity. Built for groups running stores across fashion, grocery, and entertainment formats where SAP Retail and Oracle Retail don't ship floor plan intelligence natively, and most teams manage it on spreadsheets.

Paul Banks
Paul Banks Founder & Lead Consultant I handle all enquiries personally and look forward to hearing about your project.
Store Floor Plan Layers
Intelligence Composition Bespoke analytics · Multi-format
Store layout master Fixtures + zones
Fixture positions with SKUs Live planogram
Performance overlay Sales per square metre
Dwell time heat zones From sensor data
Space productivity KPIs Category + brand level
Markdown-to-revenue ratio By fixture zone
Part of our Retail Analytics Software Dubai guide — Bespoke floor plan intelligence for enterprise retail groups — augmentation that SAP and Oracle don't ship.
View the full guide

Why Floor Plan Intelligence Is Always a Bespoke Build

Enterprise retail backbones track what was sold and how much was held in stock. They rarely track where in the store it sat, what fixture it came from, or how much space that fixture consumed. Floor plan intelligence — the link between physical space and commercial outcome — is where space productivity actually lives. Most groups run it on spreadsheets and tribal knowledge.

Fixture-level performance invisible

A store generates per-SKU performance data from point of sale. It rarely generates per-fixture performance data — which endcap drove the best sell-through, which counter performed worst. Merchandising teams guess which fixtures work because the data is not captured.

Planogram compliance checked visually

Planograms are set centrally and supposed to be executed consistently in store. Compliance is typically checked by visual inspection on store visits — a sample of stores, a sample of fixtures. Whether the planogram is actually live everywhere is a guess.

Space productivity buried in per-SKU reports

Sales per square metre, margin per square metre, and gross profit per fixture zone exist only if someone assembles them manually. Standard retail reporting shows per-SKU, per-category, per-store performance. The space dimension needs custom build.

Store format comparisons impossible

Enterprise groups run stores from 50 sqm kiosks to 9,200 sqm hypermarkets. Comparing the fashion sub-zone of a hypermarket against a dedicated fashion store needs space-productivity benchmarking. Standard reporting doesn't provide this.

Floor Plan Intelligence Software That Connects Space to Sales

Four core capability areas, designed to turn store layouts into measurable commercial intelligence.

Digital twin of every store layout

Store layouts captured as structured data — fixtures, zones, aisles, entrances, counters mapped to commercial entities. Every fixture has an identity; every SKU can be tracked to its placement.

Fixture-level performance analytics

Per-fixture sell-through, margin contribution, and dwell-time performance calculated from point of sale and sensor data. Merchandising teams see which fixtures perform without guesswork.

Planogram compliance monitoring

Photo-based or sensor-based compliance checks run continuously rather than sample-based. Central planogram team sees compliance across every store, every fixture.

Space productivity benchmarking

Sales per square metre, margin per square metre, and gross profit per fixture zone calculated continuously. Store format comparisons normalised for space. Strategic decisions on fixture investment made on data.

50 sqm – 9,200 sqm

Range of store formats inside a single UAE enterprise retail group — from Nike pop-ups to Carrefour hypermarkets. Space productivity benchmarking needs to normalise across that range.

The link between physical space and commercial outcome.

BY BANKS builds custom floor plan intelligence software for UAE enterprise retail groups. SAP Retail, Oracle Retail, and Microsoft Dynamics 365 Commerce track what was sold and what was held in stock but rarely track where it sat, what fixture it came from, or how much space that fixture consumed. Custom-built floor plan intelligence connects physical layout to sales outcome. Space productivity dashboards show per-fixture and per-zone performance across every active store.

Discuss your space productivity scope
Space Productivity Benchmarking
AED 4,200/sqm/mo
Fashion formats
AED 3,800/sqm/mo
Grocery formats
AED 5,100/sqm/mo
Electronics formats

Physical space is the largest retail cost no enterprise system tracks.

The numbers behind why UAE enterprise groups need bespoke floor plan intelligence on top of the enterprise backbone.

212M
Annual mall visitors at Majid Al Futtaim properties alone — physical space remains the dominant retail channel for enterprise groups
100+ malls
Operating across the seven emirates, with Dubai Mall welcoming approximately 65 million visitors in a single recent year
~80%
Of off-the-shelf retail platforms' coverage of enterprise retailer needs — the remaining 20%, including floor plan intelligence, is where differentiation lives
Talk to Us

Talk to us about floor plan intelligence software.

A short call surfaces whether custom floor plan intelligence makes sense for your operation. We walk through your current store layout capture practice, fixture-level performance visibility, planogram compliance approach, and space productivity benchmarking. We tell you honestly whether software solves the gap or whether data capture needs work first.

Paul Banks
Paul Banks Founder & Lead Consultant I handle all enquiries personally and look forward to hearing about your project.

How floor plan intelligence software actually works for UAE enterprise retail

The detail behind the headline — from digital twin capture, through fixture-level analytics, to the space productivity benchmarking that turns physical space into a measurable commercial lever.

What changes, in practical terms

Before Running floor plan management on spreadsheets
Store layouts in AutoCAD files or PDF exports. No structured connection to commercial systems.
Fixture performance guessed from category sales. Which endcap drove best sell-through is unknown.
Planogram compliance checked by sample store visits. Whether compliance is actually live everywhere is a guess.
Space productivity calculated manually per quarter. Strategic fixture investment decisions made on dated data.
Store format comparisons impossible to normalise. Kiosk vs hypermarket performance can't be compared fairly.
After Running floor plan management on structured intelligence
Every store layout captured as structured digital twin. Fixtures, zones, SKU placements live.
Fixture-level performance calculated continuously. Merchandising teams see which fixtures perform.
Planogram compliance monitored continuously. Central team sees coverage across every store, every fixture.
Space productivity benchmarks live per store, per format, per category. Strategic decisions on current data.
Store formats compared on normalised sales-per-square-metre basis. Fair benchmarking across the portfolio.
7M SKUs

Managed by Majid Al Futtaim across 14 markets. Knowing what was sold is solved. Knowing where in the store it sat, which fixture it came from, and how much space it consumed is where bespoke intelligence earns its keep.

The detailed questions enterprise retail groups ask us about floor plan intelligence

Expand each to see how bespoke floor plan intelligence actually works.

What does floor plan intelligence software actually cover?

Six connected capability areas: (1) Digital twin capture of every store layout with fixtures, zones, and SKU placements. (2) Fixture-level performance analytics from point of sale and sensor data. (3) Planogram compliance monitoring across every store. (4) Space productivity benchmarking with sales per square metre and margin per square metre. (5) Store format comparison normalised across kiosks, standalone stores, and hypermarkets. (6) What-if modelling for fixture investment decisions.

Around those six, most enterprise groups also want: heat map overlays from in-store sensors, dwell-time analysis, and integration with existing retail media networks for in-store screen placement optimisation.

How is this different from retail platforms' built-in reporting?

Standard retail platforms report on what was sold and what was held in stock. SAP Retail, Oracle Retail, and Microsoft Dynamics 365 Commerce all provide per-SKU, per-category, per-store performance reporting. What they don't provide is the physical space dimension — which fixture the SKU sat on, how much space that fixture consumed, what dwell time customers spent in front of it.

Floor plan intelligence is almost always a bespoke build because no platform ships it natively. The augmentation layer connects to point of sale for transaction data, optionally to in-store sensors for footfall and dwell, and to central planogram data for expected layout. Commercial reporting gains a space dimension it didn't have.

How does digital twin capture actually work?

Store layouts captured as structured data — each store's floor plan represented as a geometric model with fixtures, zones, aisles, entrances, and counters as identified objects. AutoCAD files or PDF exports from store planning teams imported and converted rather than used as source of truth.

Every fixture has a unique identity. SKU placements on fixtures are maintained as live data, updating with planogram changes. The digital twin becomes the link between commercial systems and physical reality.

How does fixture-level performance analytics work?

Point of sale transactions tagged to fixture identity through SKU placement data. A sale of SKU X at store Y during hour Z attributes to whichever fixture currently holds SKU X. Per-fixture sales, margin, and sell-through calculate continuously.

Where in-store sensors are deployed (camera-based or beacon-based), fixture-level dwell time, approach rate, and conversion rate add to the picture. Merchandising teams see which fixtures drive commercial outcome and which underperform — the data-driven answer to questions previously answered by intuition.

How does planogram compliance monitoring work?

Planograms set centrally by merchandising teams are supposed to be executed consistently in store. Typical enforcement relies on sample store visits with visual inspection. Whether the planogram is actually live across every store is usually a guess.

Continuous compliance monitoring uses either photo-based verification from store associate mobile devices or sensor-based verification in stores with sufficient sensor coverage. Central planogram team sees compliance across every store, every fixture, continuously. Deviations flag for correction rather than being discovered quarters later.

What does this sit alongside in a typical enterprise retail stack?

Here's where floor plan intelligence typically sits in a wider stack.

Enterprise backbone — we integrate with SAP S/4HANA Retail, Oracle Retail, and Microsoft Dynamics 365 Commerce for transaction and SKU data.

Point of sale — we connect to Jumpmind Commerce, Oracle Xstore, LS Central, and Cegid Retail for transaction-level feeds tagged to fixtures.

Sensor and analytics platforms — we exchange data with Milesight, Ariadne, and Scandit where deployed, adding footfall and dwell data to the fixture-level analysis.

Integration approach is scoped during discovery. We don't ask you to rip and replace anything that works.

How long to go live, and what does it cost?

Discovery takes four to six weeks. Working with your retail operations team, merchandising team, and IT leadership, we map the current store portfolio, layout capture practice, fixture-level data availability, planogram compliance approach, and space productivity reporting. Output is a detailed report covering current-state map, digital twin capture plan, fixture data requirements, sensor integration scope where applicable, phased implementation plan, and fixed-price build proposal.

Build for a core floor plan intelligence platform takes twelve to sixteen weeks from discovery completion. Digital twin capture across a large store portfolio and complex sensor integration may extend by 3-5 weeks.

We don't publish a price bracket because what's useful varies massively. Discovery produces a fixed-price proposal with no obligation to proceed.

How each role experiences the change

Floor plan intelligence works when it makes physical space a measurable commercial dimension for every role.

Chief Merchandising Officer

Fixture-level performance visible. Planogram compliance monitored continuously. Strategic fixture investment decisions made on data.

Head of Store Operations

Store format performance benchmarked fairly. Underperforming stores flagged with specific fixture-level diagnosis.

Category Manager

Which fixtures work for the category visible. Planogram iteration based on measured performance.

Store Manager

Compliance feedback from central team specific and actionable. Fixture performance in their store visible for operational iteration.

Questions We Get Asked

What is retail floor plan intelligence software?

Custom software that turns store layouts, fixture positions, and product placements into measurable space productivity. Designed to fill the gap where SAP Retail, Oracle Retail, and Microsoft Dynamics 365 Commerce track what was sold and what was held in stock but rarely track where it sat, what fixture it came from, or how much space that fixture consumed.

Why is floor plan intelligence always a bespoke build?

No major retail platform ships floor plan intelligence natively. Standard retail platforms report on per-SKU, per-category, per-store performance. The physical space dimension needs custom build. Most enterprise groups run space productivity analysis on spreadsheets and tribal knowledge as a result.

How does digital twin capture work?

Store layouts captured as structured data - each store's floor plan represented as a geometric model with fixtures, zones, aisles, entrances, and counters as identified objects. Every fixture has a unique identity; SKU placements on fixtures maintained as live data. AutoCAD files or PDF exports from store planning teams imported and converted rather than used as source of truth.

How does fixture-level performance analytics work?

Point of sale transactions tagged to fixture identity through SKU placement data. Per-fixture sales, margin, and sell-through calculate continuously. Where in-store sensors are deployed, fixture-level dwell time, approach rate, and conversion rate add to the picture. Merchandising teams see which fixtures drive commercial outcome without guesswork.

How does planogram compliance monitoring work?

Traditional compliance enforcement relies on sample store visits with visual inspection. Continuous monitoring uses photo-based verification from store associate mobile devices or sensor-based verification in sensor-equipped stores. Central planogram team sees compliance across every store, every fixture, continuously.

How does space productivity benchmarking work?

Sales per square metre, margin per square metre, and gross profit per fixture zone calculated continuously. Store format comparisons normalised across kiosks, standalone stores, and hypermarkets - a Nike pop-up and a Carrefour hypermarket compared fairly on space productivity rather than raw sales volume.

How long does implementation take?

Discovery: four to six weeks. Build for core floor plan intelligence platform: twelve to sixteen weeks from discovery completion. Digital twin capture across a large store portfolio and complex sensor integration may extend by 3-5 weeks.

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Paul Banks
Paul Banks Founder & Lead Consultant I handle all enquiries personally and look forward to hearing about your project.

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License No. 2425027.01

Meydan Free Zone, Dubai, UAE

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