This article investigates applying advanced machine learning models, specifically LSTM and BERT, for text classification to predict multiple categories in the retail sector. The study demonstrates how applying data augmentation techniques and the focal loss function can significantly enhance accuracy in classifying products into multiple categories using a robust Brazilian retail dataset. The LSTM model, enriched with Brazilian word embedding, and BERT, known for its effectiveness in understanding complex contexts, were adapted and optimized for this specific task. The results showed that the BERT model, with an F1 Macro Score of up to $99\%$ for segments, $96\%$ for categories and subcategories and $93\%$ for name products, outperformed LSTM in more detailed categories. However, LSTM also achieved high performance, especially after applying data augmentation and focal loss techniques. These results underscore the effectiveness of NLP techniques in retail and highlight the importance of the careful selection of modelling and preprocessing strategies. This work contributes significantly to the field of NLP in retail, providing valuable insights for future research and practical applications.

Artificial Intelligence in Retail is the use of machine learning, big data, and artificial intelligence to transform the customer experience. AI in retail is transforming the customer experience by making it more personal and convenient. There is no single answer to this question as artificial intelligence can mean different things to different people, but broadly speaking, artificial intelligence can be defined as the ability of a computer or machine to perform tasks that would traditionally require human intelligence, such as visual perception, natural language understanding, and decision making. In the context of retail, artificial intelligence can be used in a number of ways to improve the customer experience. For example, retailers can use AI-powered chatbots to provide 24/7 customer support or use AI-based recommendations to personalize the shopping experience for each individual customer. Additionally, retailers can use AI to streamline their inventory management and supply chain operations, which can ultimately lead to lower prices for consumers.

AI in retail industry is rapidly transforming the customer journey and experience. The fundamental steps of shopping have mostly stayed the same throughout the years: enter a store, choose the ideal item, and pay for it. With personalization, automation, and more efficiency, artificial intelligence has the ability to revamp the conventional shopping experience totally. The retail sector has been going through a digital shift for a while now. Every branch of retail companies has seen a rise in speed, efficiency, and accuracy, largely because of sophisticated data and predictive analytics technologies that support businesses in making data-driven business choices.

Artificial intelligence (AI) is defined as robots performing skilled work or machines performing activities that previously needed human intelligence. Although the notion of Artificial Intelligence may be traced back to Greek mythology, the world first experienced the emergence of stored-program electronic computers throughout modern history. Because the market is changing too quickly in this fast-growing retail business, merchants must re-examine their current policies. In this current age of digitization and intelligence, they must reflect on whatever they are doing, how they are doing it, and how they are improving their product. We've seen how the E-commerce sector impacted this centuries-old conventional Industry, particularly in India, where shops increasingly rely on these platforms to sell their products.

Robotics is the combined effort of science, engineering, and technology that results in devices referred to as robots that mimic or replace human behaviors. Robots have long captivated popular culture, including R2-D2, Prime Optimus, and WALL-E. These exaggerated, humanoid representations of robots typically appear like a parody of the real thing, but may they actually be more futuristic than we think? Robots are developing mechanical and intellectual skills that do not rule out the possibility of an R2-D2-like machine in the future. In the industrial sector, robots are becoming more and more common, and some experts predict that this trend will only continue to grow over time.

With data and algorithms, companies in the sector can put themselves in the shoes of their consumers and always manage to offer them the products and/or services that best suit each profile. Also, with the development of production processes, investments are made to improve products and offer greater variety. In this way, consumers benefit from more refined and select products. AI makes it possible for companies to be more adaptable to each of their consumers, a personalization that is so crucial in today's customer demands. In recent years, data science has experienced a boom thanks to the number of insights it provides, not only about customers but also about the processes themselves.

The retail business is getting back on track and has been witnessing steady growth after the dismal impact of the third wave. There has been buoyancy in the market with the removal of lockdown restrictions. After a long time of distress and uncertainty, things are getting back to normalcy as businesses have started taking pertinent steps to resume operations and focus on sales, marketing, and inventory management. The realization of digital transformation coupled with the indispensable role of artificial intelligence (AI) has been one of the major outcomes of Covid-19 implications on the retail sector and the vast possibilities and opportunities it can create with such transformations. With the emergence of e-commerce, buyers experienced the first crucial shift that successfully made it possible for them to buy things from anywhere at any time.

Investment in fashion-related technology increased by 66% during the pandemic, according to research by The Business of Fashion and McKinsey. The report found that the value of the top 50 investments in fashion-related technology across the past year, either by fashion retailers or businesses that sell products and services to fashion-related companies, has increased by 66% to $16.2bn since 2019, indicating an increase of capital put into technology in the fashion sector. According to The Business of Fashion and McKinsey, around 55% of these investments went towards ecommerce technology, while the rest was mostly put into payments technology, buy-now-pay-later tech and social commerce. Investment in resale technology, supply chain and logistics management, non-fungible tokens, and virtual reality companies closely followed. Imran Amed, founder and CEO of The Business of Fashion, said: "The pandemic cemented technology's critical role in the fashion industry, particularly in terms of ecommerce adoption. But now the industry must lean even further into new technologies by experimenting in the metaverse, embedding fully digitised workflows across their organisations and investing in traceability tools to help them reach sustainability targets. Those who choose to wait on the sidelines risk being left behind."

Seeking a firm foothold in the United States, Turkish startups are revving up their investments in the world's most prominent market. Following in the footsteps of gaming ventures that have placed themselves on top among most downloaded games, Turkey's ultrafast grocery delivery company Getir just recently launched operations in the U.S. only a few months after expanding into Europe. On the other hand, Vispera, which offers tech solutions in the field of machine vision and machine learning for the fast consumption and retail sectors across 25 countries, has decided to develop and strengthen its subsidiary in the U.S., Vispera Corp. The company also plans to further develop the strong business partnerships and product developments it has established in 2021. Offering a range of image recognition tools that can solve common issues in retail spaces like stocking inventory levels and more effective displays of current promotions, Vispera has announced it would complete a new investment round in the first months of 2022. The Istanbul-based company seeks to boost its activities in the U.S. through its subsidiary Vispera Corp.

With the advent of machine learning and Artificial Intelligence (AI), how companies conduct business has changed considerably. Such changes have been fueled even further by the conditions of the pandemic lockdowns. Technology has significantly improved system efficiencies and made running a business more cost and time-effective. Advancements in technology have enabled business owners to analyze market opportunities better, automate labor-intensive and time-consuming tasks, and thus improve sales. The retail industry is one of the most significantly influenced sectors when it comes to AI.