AIoT is the latest buzzword to catch the attention of the greater supply chain and logistics community
Buzzwords and acronyms are as common as new concepts for applying technology to solve a problem or create new value. They don’t always stick around as new approaches reach the mass market, however.
It’s been a quarter century since Kevin Ashton and the team at MIT’s Auto-ID Lab popularized the Internet-of-Things phrase to promote the impact of their RFID research. You see, we can’t even start a conversation on where we’re going without acknowledging the intertwining of Auto-ID, RFID and IoT at the outset.
From there, we’ve seen the emergence of terms like the industrial IoT (IIoT) and cognitive IoT to describe the contextual influence of wireless sensors, digital control systems and machine learning in manufacturing and Industry 4.0 applications.
Remember M2M? Machine-to-machine communications was once the hot space for cellular-connected smart devices that promised a degree of automation and visibility for both industrial and enterprise applications. It seems that M2M has already been lost to history as the various flavors of IoT are used to describe breakthroughs for smart factories, smart warehouses, predictive maintenance, and digital twins.
But it’s AIoT that holds the most promise. Not only as a descriptor of where we’re going, but as the equally-weighted concept of merging the value propositions of AI, which advance weekly, with the now-mature understanding of IoT (and RFID especially).
AIoT (Artificial Intelligence of Things) is the integration of artificial intelligence (AI) with the Internet of Things, conceivably creating smart systems that not only collect and transfer massive amounts of data from devices like sensors, tags, and cameras but also analyze this data in real time, automate decisions, and optimize processes autonomously. This suggests new applications that not only sense or report what’s happening but can also interpret information and trigger actions based on AI analysis, all with minimal human involvement.
The AIoT term has emerged over the last few years, and it’s here to stay. It doesn’t seem to have a discernible origin story like a lot of buzzwords. We’ve just seen it organically attached to many of the most promising future views in the RFID ecosystem.
In the context of RFID asset tracking in warehouses, the AIoT concept is defining the transformation of current operations in several critical ways:
In the evolving landscape of warehouse management, AIoT-driven platforms can re-align how operations are monitored and optimized. These advanced systems might continuously track assets throughout the facility, triggering automated workflows and alerts as conditions shift. This dynamic oversight could not only curb manual errors but also strengthen loss prevention measures and facilitate more efficient inventory turnover.
Beyond simple asset tracking, AIoT systems leverage sensor data and sophisticated analytics could anticipate when critical equipment requires maintenance. This predictive approach will help minimize costly unplanned downtime and extends the operational lifespan of valuable machinery.
We’ve all imagined it … AI-powered forecasting and optimization in the real world. In the future, warehouses could more precisely manage procurement schedules, reduce excess inventory, and maximize space utilization, leading to significant reductions in operating costs and enhanced productivity.
AIoT platforms will certainly contribute to a reimagining of supply chain visibility, granting stakeholders real-time insights into asset location, and also into the environmental and contextual factors influencing performance. This heightened visibility will enable companies to foresee and mitigate disruptions before they escalate.
At its core, AIoT represents a seismic shift from manual, reactive tracking to a highly automated, predictive, and optimized warehouse ecosystem. The payoff is clear: fewer errors, lower costs, improved productivity, and a supply chain built for greater resilience in an increasingly complex market.
AIoT describes the empowerment of warehouses using RFID to move from manual and reactive asset tracking to highly automated, predictive, and optimized operations. This can ultimately result in fewer errors, reduced costs, improved productivity, and a more resilient supply chain.
Now we have an acronym to describe what’s happening. It’s predictive in and of itself. There are many paths to get where we’re going and just as many companies and researchers seeking to lead the way. The Acceliot team is happy to use AIoT to describe what we’re doing at the intersection of these technologies. And you can expect to see some of our R&D efforts move from the lab to the field over the next 12 months. It’s an exciting time to say the least.
Read more about our smart warehouse solutions: