Retail Technology Trends

Artificial Intelligence

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24 Feb 2022
6 Min read

The Role Of Artificial Intelligence Integration In The Retail Industry In 2022

Undoubtedly, technology has ushered in profound changes in how the world functions. Artificial intelligence (AI) and machine learning (ML) are cutting-edge technologies that have changed the world for the better. The world has become increasingly reliant on technology-driven processes in almost every aspect of life today. Video analytics is an example of a technology proven to be a game-changer for companies in various industries.

Video analytics allows organizations to analyze massive amounts of data in real-time, saving money and increasing productivity and accuracy at a time when “data is the new oil.” With smart technologies like AI and IoT (Internet of Things) integrated into every business, AI-based video analytics are no longer confined to security surveillance. It offers a diverse set of intelligent solutions and applications that can be used to transform industries’ core working mechanisms. Retail is one such industry that offers a wide range of options.

Artificial Intelligence And Retail: An Overview

Although artificial intelligence (AI) integration in the retail industry is not a new concept, it is currently underutilized. When AI is correctly incorporated into the operations of the retail industry, it can do wonders not only for customers’ shopping experiences but also for the company’s ability to acquire consumer insights and better respond to evolving consumer expectations. Despite the rise in popularity of e-commerce in recent years, traditional retail enterprises are unquestionably here to stay for the foreseeable future. They do, however, face several less-publicized but essential issues.

The Challenge

The retail industry is well-known for relying heavily on excellent customer service and effective marketing to stay in business and grow. No additional support technology can help physical retail enterprises make smart real-time decisions and ensure that enormous amounts of data are easily accessible and complete, even if they obtain considerable customer insights manually. This is where traditional retailers fall short when compared to e-commerce stores. E-commerce is driving the retail business because it can track daily client intakes, dwell time, order conversions, and product preferences using technology-enabled systems. This enables e-commerce businesses to tailor product recommendations and browsing content based on previously gathered data. For offline stores, AI-enabled video analytics is essential.

Importance of Artificial Intelligence In The Retail Industry

While CCTV cameras in retail establishments may appear to be employed primarily for security purposes, their possibilities go much beyond that. Using AI-enabled video analytics, CCTV cameras can identify and collate events occurring in the store. Furthermore, these cameras have facial recognition capabilities. They may link a customer’s identity to their shopping habits and trends, providing critical data for merchants to modify their marketing strategies accordingly.

Consider the case below. When you walk into a clothing store and peruse the racks, a CCTV camera records your face and activities in the store from the time you enter until you depart. Here are a few things that video analytics may help track to optimize store operations and customer satisfaction.

Footfall Analysis And Occupancy Checks

A typical retail shop sees many consumers come in and out regularly. Footfall analysis and occupancy checks can go a long way in monitoring the business on an hourly or daily basis and assisting the store in driving more traffic. Because AI has real-time data about store occupancy at any given time when the firm is open, it can assist in accurately tracking this number.

The Heatmap’s Analysis

Retailers can utilize AI-assisted video analytics to determine which parts of the store are the most popular. This will enable the store to evaluate which product is gaining the most momentum and aid in data-driven decision-making.

Queue Management And Demographic Analysis

During busy periods like the festive season, stores get overcrowded, resulting in jams at the cash register. Stores may track the length of lines at counters while establishing the average waiting time for each client thanks to AI integration, making counter optimization easier. Furthermore, AI-enabled cameras can determine the age demographics of store visitors, allowing for better inventory management and marketing. These cameras might also follow repeat customers using facial recognition, allowing firms to optimize customer experience and retention.

In Terms Of Return On Investment (ROI)

The retail industry can save money on manual monitoring and audits when it comes to AI integration. Using the data obtained by CCTV cameras in stores, retailers can design successful marketing campaigns, reduce redundancy, optimize their overall operations, and improve store performance and customer happiness.

The Viewpoint Of The Department Of Safety And Security

Even though AI-enabled CCTV cameras have progressed beyond this, their primary function is to ensure the security of the premises. AI-powered cameras in a retail outlet may track hostile customers, detect suspicious activity or theft, and detect item pilferage in real-time, allowing management to act promptly and save money.

Bottomline

The retail industry is moving at a breakneck pace, and AI integration will accelerate things even further. To keep up with changing trends, retailers must be adaptable. They must measure and optimize their operations fast to do so. AI will undoubtedly lead the way for breakthroughs, and given the multiple benefits it offers, it is certainly the way to go for the retail industry.

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