Retail location analytics for stores and shopping centres
GiPStech retail location analytics connects shopper wayfinding, behavioural insights and operational workflows to turn location into better-informed decisions for experience, layout and marketing.
From intent to product, without losing the way
GiPStech's AR indoor navigation shows how a smartphone can guide shoppers aisle by aisle by connecting location, maps and contextual content. The same principle extends to shopping centres, department stores and large-format retail to find shops, departments, products, services and points of interest.
The route can account for floor changes, preferences and accessibility constraints, while georeferenced content helps deliver relevant information where and when it is needed. Technology becomes a discreet part of the service rather than a barrier between people and the space.
Location follows the shopper, not the device format
GiPStech's integration on the Zebra PS30 documents three retail modes: handheld navigation, a personal shopping device mounted on a trolley, and a background engine that feeds spatial analysis. It is a concrete example of how the same capability can run on enterprise hardware or inside a smartphone app.
Device choice follows the service: direct interaction, shopping-list assistance, trolley use, equipment location or movement-event collection. The design remains coherent even when form factor, operating system and device role change.
Movement becomes a language for decisions
An eleven-month retail study linked movement patterns and transactions to evaluate layout and marketing decisions. In a real project, location events, area visits and purchases can feed heatmaps, dwell time, recurring paths and clusters, provided identity, data quality and association rules are precisely defined.
European guidance on data protection by design asks controllers to assess whether the purpose can be achieved with less data, less detailed or aggregated data, or without personal data. Transparency, purpose, legal basis, minimisation, retention and access must therefore be designed before collection, separating aggregate dashboards from cases that require individual profiling.
Data granularity follows purpose: governance is designed first, then insights are activated.
Measure what happens, not what it feels like
The dashboard should start from the decisions it must support. KPIs become reliable only when coverage, accuracy, observed sample and integrations are understood; comparison with a baseline helps assess the effect of a new layout, campaign or operating model.
Flows and density
Heatmaps, entrances, paths and busiest areas make days, time slots and configurations comparable.
Dwell and sequences
Dwell time and transitions between zones help distinguish interest, friction and simple passage.
Measurable conversion
When location and transaction data can be integrated, the visit-area-purchase funnel can update near real time.
Clusters and engagement
Similar patterns can inform coupons and proximity content, with explicit rules and measurable outcomes.
The same map coordinates work on the ground
The GiPStech Solutions page combines localization and Asset2Work to connect visibility with operational control. In retail, the platform can manage registers, missions, checklists, reports, evidence and SLAs for cleaning, maintenance, inspections and merchandising activities.
A crowding event, report or usage threshold can provide the context to assign and document an intervention. Asset2Work remains the operational layer: it receives relevant data from authorised systems and returns traceable activities, without being presented as the layer that collects every IoT data point in the space.
A space that guides, understands and responds
Location creates more value when shopper experience, analytics and operations share the same representation of space. Each function can be activated in phases and measured against its own goal, without forcing one model onto different shops, shopping centres and formats.
More accessible
Need-aware routes, floor changes, service search and find-your-car support.
Better coordinated
Queues, staff, trolleys and equipment become visible according to roles and purposes.
More measurable
Layouts, campaigns and services can be tested, compared and improved using relevant data.
More scalable
Smartphones, personal shopping devices and dedicated sensors coexist in one architecture.
Turn your retail space into an environment that guides, understands and responds
Let's discuss shopper journeys, devices, available data and the operating processes you want to improve.
