ENG
  • TR
  • ES
  • AR
20 September 2021

How to increase the average check in retail using CCTV cameras

CCTV cameras are usually placed where they can cover the store's entire sales area. Customers are constantly in their field of view, providing huge potential for analyzing their behavior and using this data to increase the average check.


Profit in retail: what it's comprised of?


A retail outlet's profitability and efficiency are determined by several parameters. The five main ones are:


  • conversion;

  • average check value;

  • sales volume per square meter;

  • sales volume in value terms

  • the number of returns and salary intensity.


Low profits are often a result of an inability to increase the average check value.


What is the average check? 


The average check, or average order value, is the average transaction amount that is calculated by dividing the total number of sales by the total number of guests. Its size is influenced by:


  • sales, promotions, discounts;

  • prices;

  • range;

  • merchandising;

  • marketing communications.


Retail marketers analyze every little detail, calculate all possible risks and build strategies to increase the average check. But in reality, their recommendations are not always implemented, and deviation from the strategy leads to significant losses for the retailer. 


What can go wrong? 


The human factor often interferes with the strategy: all employees have different levels of responsibility.


Promotions, discounts, and sales do not have the expected results, because store employees do not have time to label goods and price tags on time. So customers never see the available offers. Carefully calculated prices do not trigger purchases simply because there is no price tag, so the buyer cannot see it and make a decision.


The assortment and display can not influence the average check if goods are not on the display. This also leads to the expiration of goods. In addition, empty shelves and lack of familiar products reduce customer loyalty. 


All these factors result in buyers who rarely visit the store or even choose another place to shop.


Profits could be also lowered for the following reasons:


  • theft;

  • long check out queues discouraging purchases;

  • checkout fraud;

  • impolite staff.



How to use video surveillance?


To ensure that the marketing strategy does not fail because of the shop employees, it is important to use tracking tools. These can be analytical modules of video surveillance systems.


Possibilities of modern CCTV systems:


  • Check the availability and relevance of price tags and promotional items. If they are absent, the employee receives a notification and the reaction time will be accounted for.

  • Track the availability of goods on the shelf and time of their absence. Video analytics tell employees which products to put on the shelf and when.

  • Make forecasts. This is especially relevant for in-store products. For example, in-store mini-bakeries can calculate how much bread to put on the shelves and when.

  • Monitor the staff working. You can evaluate different parameters: communication, reaction time, timeliness of customer assistance, etc.

  • Eliminate queues.



How to integrate video analytics into business processes?


In our experience, there are several common situations where analytics modules do not work:


The chain has fewer than ten store locations. Normally, such chains do not have sufficient staff to process the reports and recommendations received and need to use other resources. As a result, the CCTV system just incurs additional costs.


The retail outlet is less than 100 sq. m., with low attendance. In such stores, employees can manage to track all "weak points" by themselves.


To implement the system, the company should start with pilot projects. They allow the retailer to set up processes, measure efficiency, and introduce new responsibilities to job descriptions and employee KPIs.

What's New?

All News
25.07.2024

Ultra 5MP/2MP Cameras for Face Recognition via TRASSIR VMS

22.07.2024

Webinar: Latest Innovations in Video Surveillance with TRASSIR

18.07.2024

The ways People Counting improves Customer Service

17.07.2024

Innovation and Security: TRASSIR at SAFE Expo Chennai 2024

11.07.2024

How TRASSIR Solutions Can Empower Small Businesses

10.07.2024

Webinar: Discover the future of security with TRASSIR!

04.07.2024

Advantages of Cameras with Built-in Deep Learning-Based Analytics

03.07.2024

Introducing the Highly Anticipated TRASSIR 5MP/2MP Ultra Cameras!

27.06.2024

The development of deep learning digital intelligence in video cameras and the future of the industry

26.06.2024

TRASSIR participated at Securex South Africa with AI-based video surveillance products and solutions

24.06.2024

Explore the Future of Surveillance: Visit the TRASSIR Experience Center in Mumbai

20.06.2024

Risks for cameras without onboard deep learning-based hardware analytics

13.06.2024

Facial Recognition and cybercrime: how easy is it to fool a biometric system?

07.06.2024

TRASSIR showcases cutting-edge AI and security solutions at GITEX AFRICA 2024

06.06.2024

Arguments in favor of Facial Recognition system: why do we need this technology?

06.06.2024

TRASSIR selected to secure Northern Cyprus Turkish Republic (TRNC) Border Gates

03.06.2024

TRASSIR modernises safety at Villamahal Evleri, Turkey

30.05.2024

Reducing false alarms in video surveillance using neural networks

23.05.2024

What Kind of Security System Is Required for Industrial Agriculture?