It’s striking how quickly things can change – in a month, a week, a day, even an hour.
If you work in the supply chain, you know this better than most. A couple of people off sick, a late delivery, or a surprise marketing promotion can throw even the best-laid plans off course.
So it’s no surprise that one question keeps coming up: “How can we respond to change quickly, and with confidence?”
Many teams lean on experience, asking the colleagues who’ve “been there, done that.” And while experience is invaluable (you’ll find more on that in the links below), it’s not always scalable or sustainable.
Even your best people need time off. That’s why more businesses are turning to tech; not to replace people, but to support them. The right tools help experienced teams do their best work, every day – even when they’re not there in person.
Phil, CEO
AI in Logistics
Supply chain cyber risk is now at its “Peak of Inflated Expectations,” according to Gartner. And GenAI isn’t just part of the solution, it’s part of the problem. (9 mins)
An article in Forbes on how AI is reshaping global supply chains, quotes McKinsey research stating that AI can reduce forecasting errors by 20–50% and reduce lost sales by 65% but, again, the way it speeds up decision making, and increases agility, is put front and centre. (12 mins)
Walmart is using AI to anticipate changes across its supply chain. The key isn’t just to get better at forecasting, it’s to take faster action. (5 mins)

AI in Business
New research shows AI adoption often reduces junior hiring, whilst increasing senior-level roles. The picture’s complex, but a clear pattern is emerging: Experience matters more than ever. (3 mins – abstract only)
How good is AI, really? OpenAI’s latest benchmark shows models performing on par with experts averaging 14 years’ experience. It’s another sign that the pressure on early-career roles is growing. (15 mins)
Asda is betting big on Microsoft AI to modernise its business. They’re not the first to strike such a deal and they won’t be the last. (5 mins)
AI Everywhere
The £31bn tech deal between the US and the UK is big news and it’s worth spending a bit of time getting familiar with what it means. (17 mins)

About Predyktable
As always, we’re continuing to learn from and share with people from various industries as we continue to build out our Workforce Control Tower – a performance tool that doesn’t just show you what’s wrong but recommends what you can do next and then tells other systems what to do.
We’ve published a couple of articles this month:
What It Really Takes to Productionise Agentic AI– What it takes to move from local demo to production-ready deployment – from people, to process, to performance – By Tim J, Head of Tech
AI, Jobs, and the Future of Warehousing: What I’ve Learned– How agents today reason within constrained systems, and how tomorrow they’ll coordinate demand, logistics, workforce, and finance – just like a skilled planner would – By Phil, CEO
If you want to know more or are up for a 15-min chat to swap insights and share ideas, drop us a line.
Until next month, Team Predyktable
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