Drishti

Retail & Customer Experience

Dwell Time Analytics

Understand how long visitors spend in configured zones such as displays, counters, and service areas.

RetailBankingHospitality

Business problem

Understanding customer engagement is difficult when teams cannot see how long visitors spend in critical zones.

Drishti solution

Measure how long visitors spend in specific locations such as displays, counters, and service areas.

Library benefits

  • Improved merchandising
  • Better customer experience
  • More responsive service design

Sample scenarios

  • Display dwell trend
  • Service-area wait risk
  • Tenant amenity utilization

Buyer context

Retail and QSR operators need store-level visibility into service execution, queue pressure, cleanliness, merchandising, and customer-impacting exceptions across distributed locations.

Signals Drishti can monitor

High dwell zone
Conversion review marker
Abandoned service area

Teams that use this workflow

Retail
Banking
Hospitality

Operational outcomes

Improved experience
Better merchandising insight
Faster service tuning

Sample alerts

Queue threshold exceeded for configured duration
Service counter unattended during open hours
Cleanup cycle missed in customer-facing area
High dwell detected near promotional zone

Pilot and rollout plan

Pilot across a balanced sample of high-volume, average, and underperforming stores.
Align alert thresholds with existing operating standards and service targets.
Add executive reporting once store managers trust the event taxonomy.

KPIs to evaluate

Queue threshold minutes
Cleanup SLA adherence
Unattended counter duration
Store execution exception rate

Operating workflow

1

Configure service zones, queue thresholds, cleanup cycles, merchandising review areas, and escalation owners.

2

Route events to store, regional, or field teams based on site hours and severity.

3

Compare patterns by location, daypart, and workflow so leaders can coach stores with better evidence.

Sample case studies

These are illustrative GTM examples to help buyers understand deployment patterns. They are not customer claims, customer logos, or guaranteed outcomes.

Retail & QSR

QSR group monitors queue pressure and dining-area standards

A franchise operations team needs earlier signals when checkout queues build and public-area standards slip during peak periods.

Drishti workflow

  • Use existing counter and dining-area cameras across pilot stores.
  • Create queue and cleanup alerts tied to daypart-specific thresholds.
  • Generate weekly regional review summaries for store coaching.

Sample outcome

  • More timely staffing and cleanup interventions.
  • Clearer view of recurring peak-hour execution issues.
  • A stronger operating rhythm for field consultants.

Illustrative sample case study for GTM content, not a claimed customer result.

Governed review workflow

Drishti is designed to support event queues, reviewer decisions, notes, reports, and retention controls so teams can act without turning video into unmanaged data exhaust.

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