Two weeks until @Aptean UNITE 2026, and supply chain sessions are running daily, October 5 to 8.
If it's a topic your team's currently focused on, there's a session for it.
Full schedule here: https://t.co/ZxBy61NLB2
Nobody talks about the spreadsheet phase.
The one where AI got rolled out, teams struggled to trust it for the big decisions, and planners kept doing things their own way.
49% of supply chain execs are still there. Here's what it's costing ↓
https://t.co/YzhCGYOun4
@Aptean has been named a winner of IDC's 2026 SaaS SCM CSAT Award.
Ratings came from ~2,900 orgs across 30+ metrics, with Aptean scoring above the SCM vendor average in several categories.
Grateful for the recognition and the customers behind it: https://t.co/MS8EyiWf5o
New research from @Aptean x @vansonbourne surveyed 403 supply chain executives on what's going on with AI in supply chain.
Our September newsletter breaks down the findings ↓
https://t.co/YzhCGYOun4
"Luck favors persistence. Opportunity favors the prepared."
A failed startup, years of long hours, and nearly two decades preparing to become CEO of @Aptean.
TVN Reddy's backstory 🔗 https://t.co/kCKmbTJfk5
@SupplyChain247
Three women connected to @Aptean were named winners in the 2026 Women in Supply Chain Forum Awards.
Azin Cooksey (Odeko), Kay Fetter, and Jenny Peng. Congrats to all three! 🎉
📉 Only 33% of supply chain executives report AI-driven revenue growth, trailing the cross-industry average of 38%.
Purpose-built AI is helping to close that gap. Download Aptean's latest report: https://t.co/N1ptc2CUiY
@vansonbourne@logilityinc
Gartner published its first Magic Quadrant for Supply Chain Management Suites, and @Aptean (Logility) has been named a Visionary.
For us, that reflects a bet on end to end, not another point solution.
Grateful for the recognition. 🎉
https://t.co/u7JDnqLgA4
59% of supply chain and procurement executives say lack of trust is a bigger barrier to agentic AI adoption than cost or technical capability.
Our August newsletter gets into why that's a rational response, and what it takes to change it.
🔗 https://t.co/yYUXbxvJS1
The problem isn’t always visibility. It’s what happens between seeing the problem and deciding what to do about it.
That decision latency has a cost.
See how Orchestration Center closes the gap: 🔗 https://t.co/rk7T16b5U7
Futurist Steve Brown's take on AI agents: offload, elevate, extend. The organizations that get this right aren't automating tasks, they're redesigning who (or what) does each part of the work.
https://t.co/zQoslx9Izl
Every agentic AI vendor says autonomous. One question tells you if it's true: what happens when the decision crosses from demand into supply into fulfillment.
Real vs. roadmap promise: https://t.co/gEazNgGH4w
.@Aptean just released its 2026 Artificial Intelligence Research, surveying 1,535 business leaders across six countries and five industries.
The data shows you what's driving results, so you can move with confidence instead of guesswork.
Learn more: https://t.co/vaaXJOEi0Z
Identifying an exception is easy. Acting on it before it costs you the quarter is the hard part. @Hanesbrands made that shift, moving from spotting problems to solving them in near real time.
See how Logility's Orchestration Center closes the gap: https://t.co/3CHi6uN0h6
You saw the disruption Tuesday morning. You didn't act until Thursday.
That gap between alert and action is decision latency, and most supply chain teams have no idea how bad theirs is. Find out yours in 2 minutes.
Take the self-assessment: https://t.co/SAQquHWjvo
A geopolitical event can close a shipping corridor in hours. Most planning teams find out days later, from a report that's already stale.
That gap isn't a people problem. It's a connected architecture problem.
More here: https://t.co/o142YQUYXC
Static dashboards tell you what happened. An orchestration center tells you what to do next. Our recent webinar breaks down what real time orchestration looks like in manufacturing: production, material risk, supplier delays, capacity, all live.
On demand:https://t.co/WsGm3CH8xV
A supply chain that can see everything but can't act fast enough isn't resilient. It's just expensively aware.
Seeing disruptions coming isn't enough. Our July newsletter gets into what it takes to respond before the cost does ↓
🔗 https://t.co/F8v9O6zsmC
Forecasting demand 8 years out is not a normal supply chain problem. @TillamookDairy solved it anyway: 70% to 85% forecast accuracy, $4.2M less in spoilage, 75% less inventory, and 8% growth a year for 11 years straight.
Read how: https://t.co/Diqp406RNg
The data isn't the problem. The disconnect is.
When sales, finance, and supply chain work from different numbers, AI alone won't fix it. Logility's Piet Buyck shares 5 best practices for closing the gap: https://t.co/mwpXnBQrUx
@SCBrain