________________________________________________________________________________________ Artificial Intelligence
greater accuracy . This means better planning and smarter growth decisions based on real data , not just hunches . to make warehouses run better , predict business trends more accurately , and help workers do their jobs more efficiently .
The new kid on the block : GenAI
While ML keeps getting better at spotting patterns , GenAI is changing how we understand complex information . Take warehouse performance reports . Instead of drowning in data , managers now get clear explanations of what ’ s working and what isn ’ t , thanks to GenAI turning numbers into plain English .
Another game-changer is the GenAI shift starter tool . Think of it as a smart briefing that tells supervisors everything they need to know at the start of their shift ; from how many orders need filling to which equipment is down for maintenance . It ’ s like having a well-informed assistant who never misses a detail .
Getting started without getting stuck
For companies wondering where to begin with AI , there ’ s a clear first step : move your data to the cloud . Specifically , look for what ’ s called a multi-tenant cloud setup . Think of it as putting all your information in one organized place ( data lake ) instead of scattered across disparate systems . This isn ’ t just about tidying up ; it ’ s about making sure your data is ready for AI to work with it . The key is starting with AI tools that solve real problems you ’ re facing right now . The examples we ’ ve talked about aren ’ t pie-inthe-sky ideas , they ’ re tools being used today
What this means for your business
The logistics industry is changing fast , and AI is a big part of that change . But this isn ’ t about replacing humans or completely overhauling how you work . It ’ s about adding smart tools that make everyone ’ s job a little easier and more productive . Companies that start exploring these technologies now , beginning with organizing their data in the cloud , will be better prepared for whatever comes next . The companies seeing the best results aren ’ t necessarily the ones with the biggest budgets ; they ’ re the ones thoughtfully applying AI to solve specific problems in their operations .
The bottom line ? AI in logistics isn ’ t just hype anymore . It ’ s a practical set of tools making a real difference in how companies operate . The question isn ’ t whether to use AI but rather deciding which problems you want to tackle first . ■
For a list of the sources used in this article , please contact the editor .
Will Quinn www . infor . com / en-gb
Will Quinn is Global Director of Strategy Warehouse Management at Infor and brings over 25 years of supply chain and logistics expertise to his role . His deep understanding of industry challenges empowers the sales team to navigate complex landscapes effectively . Infor is a global leader in business cloud software products for companies in industry specific markets . Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first , leverages data science , and integrates easily into existing systems .
tlimagazine . com 31