AI-powered loss prevention and data analytics in retail
Prevent theft, reduce losses and understand customer behavior
What are the main causes of losses in retail?
Retail losses are not only caused by theft. A large part arises from internal errors and inefficient processes that often go unnoticed. Only when all causes are considered together does it become clear where revenue is actually being lost and where the biggest levers lie.
External theft
Individual: spontaneous, unplanned
Individuals or groups: deliberate, recurring, structured
Internal losses (employees)
Theft by employees
incorrect inventory levels
incorrect bookings
Process errors & operational inefficiency
poor merchandise placement
inefficient processes in the store
lack of transparency about customer behavior
How does loss prevention through data analysis work in retail?
Modern loss prevention is not based on individual incidents, but on an understanding of behavior, processes and interrelationships throughout the entire store. Instead of merely reacting to incidents, patterns are detected, processes are optimized, and risks are made visible early. Our loss prevention measures are based on three central principles:
Automated response
Detected events and patterns are not only displayed, but are directly translated into actions.
- real-time notifications
- Integration into security and operational processes
Transparency regarding customer behavior and processes
Vaidio analyzes how customers move around in the store, where they linger, and at which points processes do not function optimally.
- Visitor flows and circulation routes
- Time spent in certain areas
- Queues and bottlenecks
- Use of retail spaces
Which losses are reduced by greater transparency into customer behavior?
AI-powered analysis in retail focuses on the factors that have been shown to have the greatest impact on losses, revenue, and efficiency. Instead of uncertain interpretations of individual actions, it analyzes the entire behavior in the store – from customer flows and dwell time to queues and abandoned purchases.
Revenue losses due to shopping cart abandonment
long waiting times at checkouts
lack of orientation in the store
overcrowded or unattractive areas
Customers abandon the purchase process prematurely
Losses due to inefficient use of space
incorrect product placement
underutilized retail spaces
low visibility of relevant products
Areas without a measurable contribution to revenue
Personnel costs due to inefficient deployment
incorrect personnel planning over the course of the day
Understaffing during peak times
Overstaffing during low utilization
Missing data for optimal deployment planning
Operational losses due to lack of process clarity
inefficient processes in the store
undetected bottlenecks
insufficient basis for decision-making
slow response to problems
How does AI data analysis make my marketing measurable and controllable?
AI-powered data analysis with Vaidio connects customer behavior in the store with concrete marketing decisions for the first time. Instead of relying on assumptions or external studies, you can see directly which target groups enter your store, how they move, and at which points they lose interest or make a purchase.
- Which age groups and customer types come when?
- Do the visitor structure and target audience match?
- Which target groups actually convert?
- Does a shop window attract the right target audience?
- Does the visitor composition change after actions?
- Which campaigns drive foot traffic – and which drive revenue?
- How do customers move through the store?
- Where do bottlenecks or frustration arise?
- Which target group is present in which areas?
- Which products generate attention – but no purchase?
- Campaigns, personnel planning and space utilization are interrelated
- Decisions are based on real behavior, not on assumptions
- continuous optimization through historical data
Fast integration, low infrastructure costs, maximum precision
An international retailer reconfigured more than 500 cameras in one weekend and thereby saved 85% of the servers. The platform was awarded the SIA Award for Loss Prevention in 2023 and won the Best New Product Award for version 8.0 in 2024 – a clear testament to technological excellence in retail.
