The key internal capabilities needed to ensure a successful digital shopping experience are personalization, automation and the unique identification of the customer across shopping channels. In this report, we discuss how AI and IoT are impacting the retail industry. Retailers that aim to remain competitive cannot afford to ignore the potential benefits of these technologies. AI, a technology that enables computers to make autonomous decisions, is a step forward in automation that is changing the retail industry. Retailers are using AI to analyze customer data, adapt how they interact with shoppers and predict demand in order to better manage inventory. Because consumers are bombarded with an unprecedented amount of information, being able to deliver highly personalized content for each individual customer is crucial to staying ahead of the competition. Meanwhile, the use of AI to anticipate demand and estimate when items will be returned should translate into more efficient business operations. Digitalization is the key that will unlock the future of brick-and-mortar retail, and the IoT is a crucial part of it.
In their first guest exclusive with us, Acuvate Software shares the many different ways in which predictive analytics, combined with AI, is changing our industry. Acuvate provides AI and predictive analytics solutions for consumer goods and retail businesses. Their mission is to produce intelligence applications that simplify processes. A retailer can predict the number of footfalls for a given period, but cannot predict where these footfalls are likely to pause in the shop, stop for exploration and for purchase. But, for those retailers who have incorporated predictive analytics and Artificial Intelligence, knowing these gray areas is possible.
Artificial intelligence (AI) and machine learning are disrupting business as usual across industries. This is true from supply chain to customer experience and perhaps nowhere more so than in ecommerce and retail. Following the definition, AI is the process of machines carrying out smart tasks, and machine learning is an application of AI in which machines use data to learn for themselves. And today's leading retailers are reaping the benefits of applying machine learning and predictive algorithms; Amazon has reported that 35 percent of the company's sales come from recommendations made by machine learning algorithms and Target has reported 15-30 percent revenue growth with machine learning predictive models. "Bots can understand consumer needs to facilitate price negotiation around a specific product or the entire cart" How will AI and machine learning continue to play a role in today's changing ecommerce landscape?
AI enables computers to make autonomous decisions. It is a step forward in automation that is changing the retail industry. In retail, AI is used to analyze customer data, adapt how companies interact with shoppers and predict consumer demand in order to better manage inventory. For example, AI can decide for the retailer what items to show to shoppers and how to display and present them, and it can recreate the interaction that the shopper experiences with store associates at brick-and-mortar stores by guiding and advising the customer. AI enables retailers to drive sales and anticipate demand, gain a better understanding of consumer behavior and offer highly accurate, individualized promotions.
It is a whole new game in the consumer-packaged goods (CPG) and retail industry. The combination of digital technologies, new competitors with smarter business models and changing consumer behaviour is disrupting, disaggregating and dislocating the industry which once operated on a simple business model.