Shopping malls
Usually starts with campaign ROI, floor migration, cold-zone activation, and parking-to-visit analysis.
Campaign reviewFloor migrationStorefront dwellParking linkage
Talk to salesScenarios
The same engine solves different questions in different spaces
We organize scenarios by business objective: malls focus on campaigns and space, retail focuses on storefront conversion and staffing, and mixed-use sites focus on peaks and order.
Shopping mallsRetail networksTransport hubsDestination complexes
Scenario firstnot hardware packaging
Goal-based decompositioneasier pilot design
The underlying capability stays consistent even when the scenario story changes.
Typical entry points
Start where the business pain is easiest to prove
Each venue type has one starting point where value is easiest for stakeholders to feel and approve.
Mallcampaigns and routing
Retaildwell and entry
Hubpeaks and order
Scenario layers
Four venue types, four entry paths
Do not explain every space with one generic template.
Retail networks
Usually starts with facade attraction, zone conversion, staffing, and loyalty connection.
Storefront dwellZone conversionShift optimizationMember outreach
See retail page
Transport hubs
Usually starts with queues, congestion, pre/post security flow, and peak dispatching.
Queue detectionPeak alertsWorkforce dispatchUnusual lingering
Request demoDestination complexes
Usually starts with holiday events, night economy, open-space routing, and order management.
Event hotspotsNight peaksOpen-space routingSite order
Get proposalSuggested rollout
Scenario pilots usually move at this pace
Show the business team one result first, then decide where to expand.
01
Week 1
Frame the business question
Agree on the single most valuable scenario to prove first.
02
Week 2-3
Connect only the required data
Start with video and a minimal set of business systems instead of broad transformation.
03
Week 4+
Issue results and next-step suggestions
Deliver review output, action recommendations, and an expansion path.
Scenario examples
Most successful projects begin with one concrete problem
Solving one real scenario is usually more effective than activating every feature at once.
Large mallStart with campaign impact, then expand to storefront and parking
Phase one focuses only on campaign ROI and spillover; phase two extends into storefront dwell and parking linkage.
The pilot is easier to approve
Clear scopeUnified data modelControlled expansion
Open-format complexStart with night peaks and order management pressure
The first release targets the night-time peak where on-site coordination value is easiest to feel.
Field response becomes more predictable
Earlier peak signalsMore stable staffingShared team feedback