Ceptory
Retail
Understand how customers move through your store and optimize for conversion.
Ceptory helps retail teams track customer movement, dwell time, and engagement patterns across aisles, shelves, and checkout zones using existing CCTV without manual observation or guesswork.
Use case
Retail floor behavior analysis
Ceptory helps retail operations and merchandising teams turn existing store CCTV into a continuous customer behavior layer. Instead of relying on assumptions about product placement and store layout, teams get movement analytics, dwell time data, and conversion gap insights that store managers can act on quickly.
Tracking mode
Behavior-based
Map movement paths, dwell time, and product interaction across every zone.
Coverage scope
Store-wide
Unify customer journeys from entry through checkout in a single view.
Output format
Structured insights
Generate heatmaps, zone reports, and conversion gap summaries for store teams.
Why teams use it
Move from recorded footage to operational decisions with less manual replay.
Retail teams often make layout, staffing, and merchandising decisions with limited evidence. Footfall counts and anecdotal observation rarely explain where customers hesitate, which zones lose attention, or why store traffic fails to convert into purchases.
Ceptory indexes store footage into searchable behavioral evidence so teams can understand movement, detect conversion gaps, and improve merchandising decisions with zone-level insight instead of guesswork.
What Ceptory indexes
Customer movement paths, common flows, and zone transition patterns across the store floor
Dwell time around shelves, sections, displays, and other merchandising zones
Hotspots, dead zones, and checkout queues that affect conversion and in-store flow
Product interaction signals such as browse, pick-up, hesitation, and leave behavior
Workflow
One review path from ingest to downstream action.
01
Connect store camera coverage
Ingest existing CCTV feeds from entrances, aisles, shelf zones, and checkout counters without replacing camera infrastructure.
02
Index customer journey context
Map customer movement, dwell time, zone transitions, and interaction events into a searchable behavior layer that preserves journey-level context.
03
Surface conversion gaps
Highlight where customers engage with a zone but exit without purchase, or where strong foot traffic does not translate into product interaction.
04
Export merchandising insights
Send zone reports, movement summaries, and engagement records into merchandising tools, store operations dashboards, or layout planning workflows.
Outputs
Zone reports
Structured summaries of customer engagement, dwell time, and traffic by store area.
Conversion gap summary
Evidence of where browsing and foot traffic fail to convert into purchase behavior.
Retail analytics export
Store-ready records for merchandising tools, operations dashboards, and planning workflows.
Deployment
Route behavior outputs into merchandising platforms, store operations tooling, or retail analytics dashboards.
Deploy in cloud, private cloud, or on-prem across single-store or multi-location retail environments.
Keep customer behavior outputs aligned with governance, access controls, and site-level operating requirements.
Review loop
Store teams retain a human review step before layout changes, staffing adjustments, or product placement decisions are finalized.
Managers can move from behavioral summaries to exact footage when validating store-floor hypotheses.
Final merchandising and operations decisions remain inside human-controlled retail workflows.
Related use cases
Explore adjacent operating environments.
Ceptory supports search, review, and structured output across different enterprise video workflows.
Workplace
CCTV productivity monitoring
Ceptory helps operations teams search camera footage, flag process delays, and quantify floor activity with structured outputs instead of endless playback.
Workplace
Attendance & presence analytics
Ceptory helps teams replace fingerprint scanners, RFID cards, and manual punch-in systems with camera-based attendance intelligence that tracks actual presence rather than just entry and exit.