Business problem
Retail and warehouse losses significantly impact profitability and investigations often begin too late.
Drishti solution
Identify suspicious activity and potential theft events for human review.
Library benefits
- Reduced shrinkage risk
- Better security coverage
- More efficient investigations
Sample scenarios
- Stockroom activity review
- High-value product zone alert
- Warehouse removal anomaly
Buyer context
Loss prevention, branch security, and operations teams need focused review queues for suspicious activity, asset movement, ATM-area dwell, and protected-zone events without positioning the platform as identity recognition.
Signals Drishti can monitor
Teams that use this workflow
Operational outcomes
Sample alerts
Pilot and rollout plan
KPIs to evaluate
Operating workflow
Identify protected inventory, ATM, branch, warehouse, and stockroom zones.
Configure dwell, after-hours, removal, and protected-zone event rules.
Route events through human review with evidence, disposition, and investigation notes.
Sample case studies
These are illustrative GTM examples to help buyers understand deployment patterns. They are not customer claims, customer logos, or guaranteed outcomes.
Warehousing & Logistics
Retail distribution team creates asset-zone review workflows
A distribution operator wants better review of high-value staging areas and after-hours asset movement without expanding the camera footprint.
Drishti workflow
- Map existing warehouse cameras to protected inventory zones.
- Configure event rules for dwell, movement, and after-hours activity.
- Route reviewed events to security and inventory control teams.
Sample outcome
- More focused review of asset-protection events.
- Cleaner evidence for investigations.
- Improved coordination between operations and security.
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.
