Artificial intelligence (AI) has slowly integrated itself into the daily lives of many people. We use AI tools to set reminders, make travel plans, write code, and generate images, to name a few possibilities. The capability of AI continues to improve, and as people recognize the best ways to use AI to improve and simplify their lives, it will become even more integrated in our society.
“AI will evolve from a tool to a true co-pilot for business strategy. Brands will start leveraging generative AI to process and analyze far more data than was humanly possible before, giving them a deeper, broader understanding of their business.”
-AJ Orbach, CEO of Triple Whale
Traditional AI models and systems rely heavily on human input and predefined rules to provide solutions. They follow pre-determined steps and are able to perform well-defined tasks (like sorting data or writing SQL) based on an existing knowledge base.
As a result, what traditional AI can accomplish is limited to its programming, as it lacks the ability to learn from new experiences.
The next generation of AI is agentic AI, which is an AI tool that is capable of autonomous decision-making. Not only does agentic AI process data, but it also makes decisions, learns from the interactions it participates in, and is able to proactively work towards achieving goals.
In this article, we will outline what agentic AI is, how it works, what specific AI agents can do, and the implications for the world of ecommerce.
Agentic AI is a system or program that’s capable of autonomously performing tasks on behalf of a user. They are intelligent programs that can perceive, reason, and act.
AI agents differ from traditional AI models because they can adapt and make decisions based on predefined goals. AI agents can provide a wide range of functionality beyond natural language processing, including interacting with external environments and executing actions.
Agentic AI is able to operate autonomously and adapt in real-time, whereas generative AI systems are designed for specific tasks, and can only operate within the predefined rules or trained data. Generative AI has limited flexibility, as it is generally designed for specific tasks, and would require retraining in order to improve its performance.
An AI agent, on the other hand, can navigate complex situations and learn from their experiences, which makes them ideal for decision-making systems in various industries. Agentic AI applications can analyze situations, develop strategies, and execute tasks without any human intervention. Agentic AI is also able to engage with multiple systems, tools, and external APIs.
Since Agentic AI can operate autonomously, it can complete several tasks that generative AI can’t do. Some of the benefits of agentic AI include:
Agentic AI uses reasoning and iterative planning to solve complex multi-step problems by following these 4 steps, according to IBM:
Since AI agents can perceive, reason, act, and learn – they’re capable of several different applications. Since Agentic AI can either operate independently or with a human operator, there are several industries that would benefit from the complex applications agentic AI is capable of.
Here are some agentic AI examples:
We already know that ecommerce brands are complex, with plenty of moving parts.
It’s why we exist–to provide a single source of truth, so you can make smarter decisions more quickly and with more confidence. We launched Moby Agents, which are capable of monitoring and responding to ecommerce data dynamically, in real time.
The possible agents we can (and will) develop for ecommerce applications are copious, but here are a few examples of what AI agents can do:
We’re extremely excited about where we can take agentic AI for ecommerce in the near future! Our AI agents will help automate processes so brands can be agile in an unpredictable market, defined by shifts in consumer behavior and global market disruptions.
Advanced AI tools for ecommerce will shift from being support tools to autonomous AI agents, and this has the potential to redefine how brands operate. Any ecommerce brand that embraces the change and potential of agentic AI will be ahead of the curve.
As with any powerful technology, there are risks involved with its use.
Firstly, there are ethical concerns with agentic AI, as it removes accountability from human operators if something were to go wrong. According to UC Berkeley, the high resource consumption that AI technology requires has a significant environmental impact.
Privacy and cybersecurity concerns are a factor for agentic AI, as consumers may be wary about the collection and use of their personal data. Agentic AI could be weaponized for cyberattacks or to spread disinformation or other illegal activities. The more autonomous an AI agent becomes, the harder it may be to control or align with human intentions.
Technical limitations, including errors and malfunctions, are likely to impact output for a system that operates autonomously. In environments that require precision, the effectiveness of AI agents depends on up-to-date data. Any deficiencies in a data pipeline may produce errors in its decisions.
As with any cutting-edge technology, AI agents will go through the integration bottlenecks, and cybersecurity practices must grow alongside AI deployment to ensure we are balancing the potential pitfalls with the benefits.
Agentic AI is poised to play a major role in many companies, as businesses find ways to optimize tasks and take advantage of technological advances.
Some experts, like Nufar Gaspar of Intel, predict that there will be more AI agents than people by the end of 2025. Additionally, there will be widespread adoption of AI agents in the workplace that get deeply embedded in workflows and decision-making.
In the future, agents will be more easily deployed through no-code or low-code interfaces, so that even non-technical people can customize their own.
It’s also likely that AI agents will reignite the worries of AI replacing our jobs. While it didn’t necessarily happen with the introduction of LLMs, as agentic AI continues to improve, it’s possible that human jobs could be replaced.
A general-purpose, all-encompassing AI assistant is likely not in the cards. Rather, vertical-specific agents that do one thing really well will rule the world of agentic AI (we’re already hard at work with the ecommerce AI agents!).
At this time, agentic AI represents an uncertain technological frontier. But it is also one of the most exciting and promising developments in artificial intelligence, and what the future will look like depends on how we integrate, develop, and regulate these technologies.
Agentic AI has the power to enhance decision-making, optimize costs, and streamline operations across many industries, but especially in ecommerce where moving fast and adapting are keys to success.
As we continue to push the envelope with what AI agents can do, consideration must be made for ethics, cybersecurity, and responsible use of agents to ensure intelligent systems stay aligned with human interests.
At Triple Whale, we’re already building AI agents designed to help brands monitor trends, forecast outcomes, and optimize performance. They’re the only AI agents built for ecommerce intelligence, and they’re awesome.
Ready to let AI agents maximize your ecommerce performance? Sign up for a demo of Moby Agents today!
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