For instance, Fresh Thyme, a grocery retailer in the region, adopted the technology for its 75 retail locations uses AI to fix the fresh supply chain of foods. Retail analytics is the process of tracking business data, such as inventory levels, consumer behavior, sales numbers, and more, to make more informed, strategic decisions. This includes providing insights to understand and optimize the retail business’s supply Online Retail Industry Trends in 2023 chain, consumer behavior, sales trends, operational processes, and overall performance. It can help target customers by determining the ideal customer based on data gathered on current and past customers’ location, age, preferences, purchasing patterns, and other key factors. Personalized marketing in the retail industry is becoming more commonplace and requires a deep understanding of individual customer preferences.

Future of Retail Analytics

Machine learning is one of the key technologies that is expected to create value for retailers as more and more businesses take advantage of Big Data. Retail companies are using advanced analytics to get insights into consumers buying behavior. Additionally, it also helps retailers in merchandise planning and size optimization. Finally, retail analytics can be used to predict consumer needs and business improvements to gain a competitive advantage. Analyzing sales data can help retailers identify emerging trends and anticipate customer needs. AI in the food and grocery retail market helps in the pricing and promotion of the products in the store.

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With retail analytics, companies can develop strategies focused on specific customers and therefore increase success for such marketing tactics. The US-based Prism Skylabs offers solution for retail outlets, that use the data from their existing surveillance cameras and use predictive analytics to enhance merchandising, store design, and inventory management. Camera data feeds into an algorithm which can, for example, analyze how customers move around the space to help retailers optimize the layout of their store, ensuring the best chance of making sales.

Future of Retail Analytics

For instance, Harps Foods in Springdale, Ark., has been working with Daisy Intelligence, to improve pricing and promotions in its circular. Daisy analyzed two years of transactional information and pricing from Harps, with the goal of growing the retailer’s sales by 3%. According to IBM, 62% of retailers reported that the use of information is providing an edge for their organizations.

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Such non-relational databases are ideal for real-time applications that generate huge amounts of data, making them suitable for deploying machine learning algorithms. In the Latin American region, AI is expected to be one of the major enablers of retail businesses given the rapid proliferation of mobile networks and expansion of research capabilities in AI in the region. Santiago-based startup Arara has been working on building AI solution for diverse retail business cases. The company has been able to raise USD 500,000 in funding and has promised to develop solutions that will increase sales by 30% by predicting purchase intentions.

Future of Retail Analytics

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Future of Retail Analytics

Many foods and grocery retailers in the region have deployed AI-based solutions to optimize its supply chain operations and inventory. AI is helping the retailers in maintaining and managing their customers and understanding the buying patterns of them. AI technologies are adopted by both online and offline retail businesses to engage customers and improve sales turnover.