
Retail - Case study
Liquor store chain - shoplift detection & POS
Pietermaritzburg, KZN - completed May 2026 by our KwaZulu-Natal team · CCTV installation in Pietermaritzburg
- Stores
- 4
- Cameras
- 38 × 4MP IP
- Detection
- AI shoplift
AI shoplift detection and POS-linked video for a liquor store chain, with floor staff alerts and after-hours monitoring.
Equipment supplied
- ▸Dahua AI NVRs with shoplift analytics
- ▸38 × Dahua 4MP IP cameras
- ▸POS integration
- ▸Staff alert system
- ▸Offsite monitoring connection
Scope of work
What international research shows
Published findings on this kind of intervention elsewhere, not results measured on this site.
A randomised controlled trial across 47 retail stores tested in-aisle CCTV domes and public-view monitors and found positive evidence that visible cameras reduce opportunities for theft in real store conditions.
Source: Hayes & Downs (2011), Controlling retail theft with CCTV domes, CCTV public view monitors, and protective containers: a randomized controlled trial, Security Journal 24(3)A study of 392 restaurants found that after they adopted software that monitors point-of-sale transactions for theft, theft fell by 22% and average weekly revenue rose by about 7%, driven mainly by changed staff behaviour rather than staff turnover.
Source: Pierce, Snow & McAfee (2015), Cleaning House: The Impact of Information Technology Monitoring on Employee Theft and Productivity, Management Science 61(10)Actively monitored systems, where operators alert security or police while an incident is unfolding, were associated with significant crime reductions. Passive systems that only record showed no significant effect.
Source: Piza, Welsh, Farrington & Thomas (2019), CCTV surveillance for crime prevention: a 40-year systematic review with meta-analysis, Criminology & Public Policy, as summarised by the US National Institute of Justice's CrimeSolutions
See how we secure the retail sector: Retail CCTV & Security Solutions