Lexius
Lexius provides an AI-powered computer vision platform that detects shoplifting and checkout errors in real time by analyzing existing store camera feeds alongside point-of-sale transaction logs. The system identifies missed scans, ticket switching, and other loss patterns across staffed and self-checkout lanes, then alerts staff with video clips for immediate intervention. It works with a store's current IP cameras and requires no new hardware, with deployment taking about an hour.
- Retail Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
- Enterprise Software
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Retail stores face significant losses from shoplifting and checkout errors, with self-checkout lanes experiencing loss rates five times higher than staffed lanes. Traditional surveillance methods rely on manual observation, which is prone to human error and inefficient for large stores with multiple camera feeds, leading to delayed intervention and unrecovered shrinkage.
Solution
Lexius offers an AI-powered loss prevention platform that integrates with existing surveillance camera systems and point-of-sale transaction logs to detect shoplifting and scanning errors in real time. The system analyzes video feeds to identify specific loss patterns—including skip-scans, sweethearting, ticket switching, and bottom-of-basket items—and cross-references what it sees against the register's transaction log. When a discrepancy is found, the lane can pause and prompt the cashier or shopper to scan the missed item, ending most walk-offs on the spot. Staff receive instant alerts with concise video clips, and managers get ranked coaching data showing missed scans per operator against store averages. The solution is plug-and-play, requiring no new cameras or hardware, and can be deployed in about an hour.
Target Audience
Primary customers are retail store owners, loss prevention managers, and asset protection teams at grocery chains and convenience stores seeking to reduce shrinkage at both staffed and self-checkout lanes.
Features
- Real-time AI video analytics that counts items crossing the scan window and compares them against the transaction log item by item
- Detection of six distinct loss patterns: skip-scan, sweethearting, banana trick, bottom of basket, ticket switching, and void abuse
- Lane-pausing intervention at self-checkout kiosks that prompts shoppers to scan missed items before they leave
- Per-cashier missed-scan ranking against store averages for data-driven coaching conversations
- Transaction-level video retrieval that pairs any receipt with its corresponding clip for audit and dispute resolution
- Passive, read-only tap on the POS system with no write-back capability; lanes continue operating if Lexius goes offline
- Works with existing IP cameras already positioned over scan windows and bagging areas, with no new cabling or register downtime