When does demand arrive?
Use peaks, lulls, and time-of-day trends to plan staffing, service, and campaigns.
Retail Platform
Turn the store floor into an operating system.
OptiVerse turns entry flow, dwell, product-zone engagement, and staff coverage into one operating view for retail teams.
Deployment Retail rollout status
Live
1 real-time stream
In build
3 site setup underway
- Daily entry record
- 4,218
- Peak-hour record
- 561
- Peak occupancy
- 35
- Longest dwell
- 30m 59s
anonymized sample
single window
concurrent
single journey
Live data view
Active store replay
Female / Male
-- Occupancy
-- Avg dwell
-- Paths replayed
Retail Platform
What the platform helps answer
Where do shoppers slow down?
Translate product-zone dwell and paths into merchandising and assisted-sale decisions.
Which visits deserve attention?
Surface deep browsing, cross-zone movement, quick loops, and journeys that may need support.
Does coverage match demand?
Compare customer motion with staff zones so service resources stay close to real demand.
Retail insight cockpit
Turn floor movement into store decisions.
Footfall, dwell, zone heat, and notable visits stay connected in one operating view.
Footfall trend
Min 5
Track peak periods and demand by time of day.
Avg customers New visits Avg staff: 1.0
- Peak floor
- 15
- Avg dwell
- 1m 1s
- Top product zone
- Product zone 07
- Cross-zone visits
- 24
highest concurrent count
visit duration
most visited area
touched 4+ product zones
Notable visit signals
Improvement cue
Ranked by dwell, path distance, and product-zone coverage so teams can review the journeys that matter.
Adjacency and selling timing
Review product adjacency, bundle opportunities, and assisted-selling timing.
- Dwell
- 6m
- Path
- 67.0m
- Product zones
- 4
Adjacency and selling timing
Review product adjacency, bundle opportunities, and assisted-selling timing.
- Dwell
- 4m 56s
- Path
- 39.1m
- Product zones
- 6
Adjacency and selling timing
Review product adjacency, bundle opportunities, and assisted-selling timing.
- Dwell
- 4m 56s
- Path
- 36.7m
- Product zones
- 6
Clarity and support check
Check whether pricing, comparison information, signage, or service support is clear enough.
- Dwell
- 6m
- Path
- 10.9m
- Product zones
- 2
Retail Platform
From perception to action
Built for retail operators: track demand, compare zones, review service coverage, and turn store behaviour patterns into action plans across locations.
- 01
Observe
Ingest live store movement, zones, and staff activity.
- 02
Compute
Measure dwell, paths, peaks, zone heat, and visit patterns.
- 03
Explain
Turn raw movement into concise summaries for stores, ops, and HQ.
- 04
Act
Support staffing, merchandising, campaigns, service coverage, and store comparison.
Improvement opportunities
Use heatmaps and notable visits to decide what to improve next.
When teams can see where shoppers dwell, how they move, and where they loop back, the platform points to better layout, merchandising, and service timing decisions.
Heatmap insight
Tune product zones and fixture placement
High dwell shows where shoppers are willing to compare; weak zones can be tested with layout, category mix, or entrance-flow changes.
Top dwell share 26.8%
Visit insight
Find journeys that need explanation
Long dwell, cross-zone comparison, and looping paths can reveal unclear pricing, missing signage, product adjacency gaps, or moments that need assistance.
Notable visits 4 visits
Action planning
Turn observations into store experiments
Convert heat zones and notable visits into testable changes: move fixtures, adjust staff routes, update signage, or refine assisted-selling scripts.
Improvement areas 3 areas