Visual Intelligence for the retail industry
Showing store teams, operators and leaders the right information, in the right format, at the perfect time.
Miguel Alvarez
Partner
The right partner for turning retail data into decisions.
We are a technology practice first. Our engineers, data specialists, UX researchers and designers work as one team, and many of them have spent years working with retailers: grocery, fashion, trade and consumer brands.
That is why we can take any data, from any source, whether it is EPOS and loyalty, inventory and supply chain, planograms and floor plans, footfall sensors or workforce systems, and engineer it into the right format for the people who need it: store colleagues, regional managers and the teams at head office.
Our aim is simple. Build robust, measurable experiences that make the most of every medium, instrumented against the KPIs that matter to you.
— Miguel & the Reply team
Explore our offering
Retail data is complex, and store teams are running more variables than any report can hold
Thousands of products, hundreds of stores, prices, promotions, deliveries, rotas, footfall, queues, waste and shrink: retail teams juggle all of it at once, every hour of the trading day. Most of it reaches them as yesterday's spreadsheet. IHL Group estimates that retailers still lose 6.5% of global sales to out-of-stocks and overstocks, after two decades of investment in systems. When a manager cannot see which store, which aisle and which hour a problem sits in, they cannot act on it in time. The information retail teams see shapes the decisions they make, so showing the right things, in the right format, at the right moment is not decoration. It is what keeps shelves full, queues short and colleagues with customers.
The gap in numbers
What complexity and poor visibility cost shoppers, colleagues and retailers.
Out-of-stocks and overstocks cost retailers $1.77 trillion worldwide in 2025. Empty shelves alone account for $690 billion of it.
52% of shoppers leave a store without everything they came for, often because of out-of-stocks or products they could not find.
Fewer than 1 in 4 major retailers reach 80% accuracy on on-shelf availability, planogram compliance and promotional execution.
46% of store associates say low-priority tasks leave them too little time to help customers, and 88% struggle to get information when they need it.
51% of retailers say they lack access to real-time data, and fewer than half have a team able to analyse data across the whole company.
UK retailers recorded 5.45 million shop thefts in a year, one every six seconds, after investing more than £5 billion in prevention over five years.
Turning complex retail data into clear, interactive experiences that help store teams, operators and leaders make the right decision, from the boardroom to the shop floor.
Understand the audience, then show them what matters
We know the sector: retail decisions are made at every level, from the estate to the store to the shelf. The right visual layer understands what each person is responsible for and serves them exactly what they need to make the right decision.
What the gap costs you
- Sales lost to empty shelves that nobody saw in time
- Colleagues tied up in reports and low-priority tasks instead of serving customers
- Regional and store managers steering from yesterday's spreadsheet
- Queues, waste and shrink discovered after the fact, when it is too late to act
Network · Store · Shelf
- Bring the estate to life with live maps, 3D store twins and motion
- Apply your design system so every screen is unmistakably on brand
- Unify sales, inventory, footfall, workforce and building data through a single data layer
- Engineer it to perform: fast, accessible and responsive on wall displays, laptops and handhelds
From reports to a living picture of the estate
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Start with the question, not the report
Let a manager begin with what they need to know, such as where am I losing sales right now, and see the answer. -
Make the estate visible
Live maps and 3D twins show every store, region and route in context, so people see the pattern instead of hunting for it. -
Design for how retail decides
Drill from network to store to aisle, with shared views for head office, regional and store teams looking at the same truth. -
Show the store as it really is
A 3D twin of the shop floor with live footfall, queues, stock and colleagues, so a problem has a place, not just a number. -
Build on what already exists
Integrate with the EPOS, ERP, warehouse and workforce platforms you already run through their APIs. No rip and replace.
Watch the shop floor react in real time
An interactive 3D twin of a multi-floor fashion store. Footfall, conversion, queues, fitting rooms and stock health play out on the floor itself, and an Efficiency Finder turns what it observes into savings per day and per year.
- Live store KPIs: footfall, conversion, basket, queue abandonment, staff efficiency, stock health and dwell in one bar
- Change the day: replay opening, lunch peak, weekend rush, a seasonal sale or a staff shortage and watch the floor respond
- Data layers on the floor: customer flow, heatmap zones, revenue towers and queue pressure drawn where they occur
- Efficiency Finder: spots the fixes, such as opening a till or moving a fixture, and totals the value of each one
- Actions, not just insight: rota and schedule, optimise the layout or open additional tills from the same view
- Calibrate to any store: floors, fixtures and targets adjust to the real building, from a flagship to a local shop
From 3,990 stores to a single aisle in three clicks
A live operating picture of a national grocery estate: every store on the map with format mix and regional roll-up, then down onto one real store in photoreal 3D, and inside to the aisles. The twin can present itself, with a narrated demo for the boardroom or a store visit.
- Network view: every store, its trading status, sales and live alerts on one 3D map of the country
- Store view: drop onto the real building, with car parks, fuel, click and collect, energy and refrigeration in context
- Aisle view: step inside to see shopper flow, availability gaps and colleague tasks where they happen
- Operating model: labour matched to demand by hour, so managers can flex or trim with evidence
- Copilot and agents: ask a question in plain English or dispatch a colleague from the same screen
- Powered by existing feeds: sales, inventory, workforce and building systems unified in one rendering layer
From the boardroom to the builders' yard in three clicks
Group stock command for a trade and DIY merchant. Every branch sits on a live map of the country, then the view drops onto one real yard in photoreal 3D with live bin-level inventory draped over the actual racking, and finally steps inside the branch.
- Group cockpit: stock value, availability and risk across the whole branch network at a glance
- Branch estate: every branch on a live map, sized and coloured by what needs attention
- Photoreal yard: live bin-level stock over the real timber, brick and aggregate bays
- Replenish and watch: raise an order and follow the lorry as it arrives at the gate
- Step inside: racking aisles, trade counter and goods-in, all driven by the same bin model
- One data model: the boardroom number and the bay on the ground are the same record, so they always agree
Any data, from any source, in the format that fits the moment
Retail runs on fragmented systems: sales in one place, stock in another, people and property somewhere else. We integrate them through a governed data layer and engineer the experience people actually see, so a store manager acts from one view and head office sees the whole picture.
Data we integrate
Sales and customers: EPOS, e-commerce, loyalty and basket data, by store, hour and category.
Inventory and supply chain: stock, orders, deliveries and availability from ERP and warehouse systems.
Space and property: planograms, floor plans, estate, energy and refrigeration data.
People and sensors: workforce and task systems, footfall counters, queue and IoT feeds, unified under one model.
How we deliver it
Live network maps and 3D store twins: real-time WebGL rendering to see where, how much and why, instantly.
A view for every role: head office, regional manager, store manager and colleague handheld, all reading the same data.
Guided and narrated modes: the twin can walk a board, a supplier or a new manager through the story by itself.
Embedded in your channels: shipped as components and APIs inside the sites, apps and tools you already run, with analytics built in.
From yesterday's report to confident decisions on the shop floor.
The problem
Retail teams run complex estates with information they cannot see in time.
$1.77tn
Lost worldwide to out-of-stocks and overstocks: IHL Group, 2025
The solution
An engineered visual layer that shows store teams, operators and leaders the right information, in the right format, at the perfect time.
The outcome
Fuller shelves and shorter queues, colleagues who serve instead of search, and results measured against your KPIs.
52% of shoppers leave a store without everything they came for, often because of out-of-stocks or products they could not find. (Zebra, 2025)
Three layers of capability: from proof of concept to live
Proof of Concept
Prove the idea with real data in weeks, not months.
Proof of Concept
- Discovery with store teams, operators and stakeholders
- Data, systems and API audit
- UX research and journey mapping
- Interactive prototype rendering real data
- Success measured against agreed KPIs
Pilot & Build
Turn the prototype into production-grade software with a live pilot.
Pilot & Build
- Integration with EPOS, inventory, workforce and sensor APIs
- Design system and accessible component library
- Secure, scalable cloud architecture
- Automated testing and CI/CD pipelines
- Pilot with a selected region and group of stores
- Analytics and A/B instrumentation
Live & Scale
Deploy into live environments and grow across the estate.
Live & Scale
- Production deployment with monitoring and support
- Performance, security and resilience hardening
- Roll-out across stores, head office and handheld channels
- Continuous optimisation from usage data
- Integration into your platforms and roadmap
- Knowledge transfer to your teams
Initial Proof of Concept
A first step that puts a working twin in front of your teams: your network and one store, built with your data.
Discovery & PoC
A low-risk engagement to design and prove the network and store experience for your teams, then shape the path to pilot and live deployment from what we learn together.
- Discovery workshops with store, regional and head office teams to understand how decisions are actually made
- Technical audit of the sales, inventory, space and workforce data and APIs available to power the experience
- UX and visual design of the network view and one store twin, on brand and built for the people who will use it
- A working proof of concept rendering real data for a selected region and store
- Testing with managers and colleagues, capturing feedback and quantifying the impact on your KPIs
- Recommendations, target architecture and a roadmap for pilot, live deployment and scaling across the estate