Artificial Intelligence has been making game-changing impacts in the business world. Nowadays, businesses, especially retailers, regardless of size, are increasingly enthusiastic to build and deploy AI solutions. In fact, retail businesses must implement AI-like trending digital solutions to remain competitive and improve customer experiences. A few weeks ago, when FuGenX decided to add more services to its AI service portfolio, it has conducted a series of deep research across industry verticals to find which industries have more pain points that can be solved by our cutting-edge AI solutions. As per the research reports, retail was expectedly at the top of the list.

The system uses machine learning, which analyzes statistics and probability, to make predictions about shopper trends based on the large data …

Sign up for our Daily Email newsletter to stay up-to-date on the latest local news throughout Philadelphia. Artificial Intelligence has become a reality in retail stores and this technology has important functions--especially today amidst a global pandemic--since it can be used to analyze inventory, allow contactless payments and even pick up products in the form of robots. AI use is becoming popular among retailers, as it is now being used in stores to facilitate the work of sellers and encourage people to buy more products. According to a Capgemini Research Institute study, by 2018 more than a quarter of retailers worldwide (28 percent) were implementing AI in their stores. The same study revealed that 98 percent of the 400 retailers that implemented the technology expected the number of customer complaints to decrease by up to 15%, while 99% expected AI to increase sales by the same amount.

Successful retailers are already modernising their work environments, extracting more value from their data, deepening their understanding of customers, innovating faster and migrating their operations to the cloud – all to become more competitive. While some retailers are focused on improving their existing operations processes, this is not enough. Real value creation and cost reduction comes when retailers reimagine the operations process entirely and take a digital-first strategy, rather than making incremental changes to existing models. This is where artificial intelligence (AI) has a crucial role to play. Cognizant's research indicates that the revenue impact of new technologies, including AI, is $634bn (£483bn) globally.

Retail Intelligence is all set to drive the next wave of disruption in the retail industry by enabling retailers with capabilities to deeply analyze their data, create predictive models and extract incisive insights. The biggest disruptor in retail is the availability of data. As retail went digital courtesy ecommerce, m-commerce, social commerce, and now connected retail, each customer touchpoint is producing huge amounts of data. The data, if harnessed well, can deliver deep insights into your customer's mind, his motivations, influencers in his purchasing decision, his path to purchase and more. It can also help retailers in building products, processes and providing experiences that delight customers.

Data Science has become one of the most powerful technologies in the retail sector by providing fact-based and data-driven insights. Data Science technologies help retailers in enhancing their marketing strategies, operations, and financial performance. Retailers today are searching for ways to derive more customer intelligence and operational insights from their overflowing databases which are currently fulfilled by Data Science technologies. Data science plays a vital role in almost all sectors of retail such as assortment, recommendation, Logistics and Supply Chain Management, Demand Forecasting, Price Optimization for products, Predictive Maintenance, Churn prediction, and Data-Driven Product Management. Other products that are bought together with the required products by the customers lead to increase in sales.

This is a preview of a research report from Business Insider Intelligence, Business Insider's premium research service. To learn more about Business Insider Intelligence, click here. Current subscribers can read the report here. One of retailers' top priorities is to figure out how to gain an edge over Amazon. To do this, many retailers are attempting to differentiate themselves by creating highly curated experiences that combine the personal feel of in-store shopping with the convenience of online portals.

Digitally native retailers are setting new standards for the customer journey by creating highly curated experiences through the use of AI. This has enabled them to cater to consumers' desire to interact with mobile apps and websites as they would with an in-store sales representative. By mimicking the use of AI among e-commerce pureplays, brick-and-mortars can implement similar levels of personalization. AI can be used to provide personalized websites, tailored product recommendations, more relevant product search results, as well as immediate and useful customer service. However, there are several barriers to AI adoption that may make implementation difficult. By and large, these hurdles stem from a general unpreparedness of legacy retailers' systems and organizational structures to handle the huge troves of data AI solutions need to be effective.

Artificial intelligence can be an important tool for collecting as well as interpreting business related data. Currently around 45 companies specialize in AI for functions such as recommendations, search, multichannel marketing, merchandising, and conversational commerce. Nothing works better for accumulating and making sense of all the data than machine learning, or AI. When automating aspects of a retail business, AI is able to provide an intelligent as well as a speedy solution, including self-adapting algorithms which can show a company's patterns of behavior which would otherwise be hidden from humans reading the data on their own. From there you have a starting point for predicting patterns of behavior and interaction which drive the most customer interaction, or purchasing.