AI Consumer Insights

Trend - Retailers and grocers are testing fully automated locations to lower costs. By saving on the many complications associated with labor, these retailers are able to offer reduced prices for the benefit of the consumer. These often begin as solo test locations before expanding based on demand.

Insight - Lower-income consumers are the most affected by the continued rise in grocery prices year-over-year. However, even middle class consumers are feeling a notable impact to their finances caused by rising prices. In turn, retailers are facing leftover stock, particularly in the produce and perishables sections, leading to brands investing in ways to bring costs down for consumers. One such way is through the use of AI-based employee-free store locations.

Trend - New applications are being released that automatically categorize and sort SMS messages. These tools determine whether an SMS is work or personal related, spam, or fits into a created subcategory. This is designed to make responding to messages more efficient for individuals.

Insight - Between email, phone calls, text messages, and various other messaging applications, individuals are tasked with keeping track of several aspects of their lives, including professional and private communications, through different forms of text-based messaging. While many of these applications have tools designed to enhance convenience and organization, SMS apps built into phones are often barebones. Brands are looking to improve these applications with smart and AI-based organizing tools.

Trend - SaaS companies are launching Artficial Intelligence (AI)-based tools that gather and analyze both customer feedback and product information to provide recommendations for product managers. These tools are designed to automate monotonous tasks and free up time for managerial action.

Insight - Product managers face challenges in making data-driven decisions and handling large volumes of data. These users are often stretched thin, and gravitate toward organization and automation platforms, particularly those related to more monotonous tasks. In order to appeal to these users, brands are creating AI-based consumer and product analysis tools designed to provide actionable insights from datasets comprised of consumer priorities and demands, as well as product information.

Trend - Companies are integrating emotion recognition capabilities into their AI systems, allowing machines to detect and respond to human emotional states through facial expressions, voice patterns, and physiological signals. This technology is being implemented across various sectors, from healthcare diagnostics to customer service platforms.

Insight - The increasing digitization of daily interactions has created a desire among consumers for more humanized technological experiences. While automation offers efficiency, many individuals find purely algorithmic interactions unsatisfying and impersonal. This tension has created demand for AI systems that can recognize and respond to emotional nuances, particularly in sectors where empathy is crucial – from healthcare to customer service. For consumers, emotionally intelligent AI represents a bridge between convenience and human connection.

Trend - Companies are creating suites of AI-powered tools designed to improve the experience of job searching and interviewing. These tools range from resume generators and optimizers to mock interviews or interview feedback platforms. These brands aim to provide a leg-up in a competitive job market.

Insight - The rise of artificial intelligence is increasingly being integrated into countless professional and personal fields, with the hiring and onboarding processes being no exception. Human Resources departments are turning to AI tools to sift through resumes, leading to a competitive job market being made more competitive for applicants with less experience. In order to appeal to these aspiring professionals, brands are creating AI tools that streamline application processes.

Trend - Brands in the Computerized Maintenance Management Solutions (CMMS) space are turning to artificial intelligence to launch new tools. These new AI CMMS tools focus on using predictive algorithms to ascertain where repairs will be needed before they are needed, improving efficiency and reducing costs.

Insight - Maintenance and management are two of the largest cost factors for consumer-facing retail and hospitality businesses. While smaller establishments simply deal with problems as they arise, larger conglomerates can no longer rely on reactions, and turn to larger-scale solutions, such as CMMS software, to improve efficiency. However, these solutions have their shortcomings in terms of data interpretation, leading to the brands behind them implementing AI-based features to better serve clients.

Trend - While personal finance management apps have existed for over a decade, the introduction of artificial intelligence (AI) and data collection algorithms have made recent apps far more effective than before. These modern budgeting apps are used to prevent unnecessary spending while saving toward goals.

Insight - The extensive convenience of modern e-commerce platforms, such as Aliexpress, Temu, or Amazon, has led to consumers from Gen Z to older Millennials constantly facing targeted product advertising. This has led to an impulse spending problem in many consumers who purchase frequent low-cost products, unaware of how quickly these purchases add up. More tech-savvy Gen Z and Millennial consumers, in an effort to curb this aspect of e-commerce culture, are turning to budgeting apps powered by AI.

Trend - Tech startups are creating AI-powered apps and companion devices that serve to complete more downsized, simple tasks. These tools do not generate complex creative work or serve as replacements for professional tasks, and instead are used to make regular day-to-day life more efficient.

Insight - Some of the most impressive consumer use cases for generative AI tools relate to creative and professional fields. Tools that can generate lifelike images, videos, stories, or automate workplace tasks took the internet by storm due to their impressive promise. However many consumers believe these creative fields should primarily remain human-created. Brands are catering to these consumers by releasing downsized AI tools that save time in other areas to enable more focus on creative, tasks.

Trend - Businesses are increasingly leveraging AI-powered tools to record, transcribe, and summarize meetings in professional settings. These tools utilize advanced speech recognition technology to capture conversations in real time and deliver well-organized, searchable notes with minimal manual input.

Insight - Clear communication and concise documentation are essential for smooth business operations, but employees can struggle to focus on critical information when they are also responsible for manually taking notes. By handling these tasks through automated technology, virtual notetakers reduce the manual effort required from employees. This significantly streamlines business communication and documentation, maximizing time spent on higher-priority tasks that can substantially benefit the company.

Trend - Physical AI-powered tools, in conjunction with cameras and advanced AI models, are being used as a starting point for disease diagnoses. While these tools cannot legally diagnose someone of a condition, they can be used to more quickly point doctors in the correct direction, increasing efficiency.

Insight - While most consumers are aware that, when ill, simply looking up symptoms cannot accurately diagnose what the cause is, this is still a common first step for people when deciding whether or not to seek medical attention. Due to the popularity of these practices, and the introduction of AI in nearly every industry, AI brands are creating tools for consumers and for professionals that can more accurately determine medical conditions based on advanced models combined with physical testing tools.