Uploaded March 2026 | Updated September 2026, 2 weeks ago
Most supply chains don’t collapse gradually. They fail at a single weak point.
That weak point usually isn’t visible in your dashboard.
Jonathan Doller, Senior Solution Consultant at Logility, works at the intersection of AI, demand planning, constrained inventory allocation, and operational resilience. In this discussion, we examine where AI genuinely strengthens supply chain decision-making, and where it simply papers over structural fragility.
Resilience plans look solid in workshops. They often break under port closures, tariff volatility, constrained supply, and shifting demand patterns. Add climate risk, regulatory pressure, and rising capital costs, and the margin for error narrows quickly. AI is now embedded across forecasting, allocation, supplier risk screening, and scenario planning, but adoption without structural clarity creates new risks.
What changed my thinking in this conversation:
• The distinction between correlation and causation in demand planning. A company removed a promotional discount after AI revealed demand was seasonal, not price-driven, margin improved immediately.
• Constrained inventory allocation as a competitive lever. Allocation decisions during scarcity define market winners.
• The “single point of failure” analogy - supply chains often have a critical dependency with zero redundancy. Most leadership teams can’t clearly identify it.
This discussion is for procurement leaders, supply chain executives, risk managers, and operations decision-makers operating under cost, regulatory, and disruption pressure.
If you’re dealing with these decisions in real time, I’d like to hear how you’re approaching them.
Listen on the podcast:
resilientsupplychainpodcast.com
Subscribe for practical, data-led conversations on supply chain resilience, sustainability, and operational risk.
Timestamps below ⬇️
Chapters / Timestamps
00:00 The “Jesus Nut” - Why Resilience Starts with Single Points of Failure
00:19 Welcome & Guest Introduction (Jonathan Doller, Logility)
01:55 The Biggest Supply Chain Challenge: Pace of Change
02:20 Data vs. Information — Where AI Actually Fits
03:38 AI’s Real Value: Automating the Mundane
04:03 AI Trust, Overload & “Pragmatic Autonomy”
05:24 AI in Forecasting — Correlation vs. Causation
07:04 Case Study: The Mother’s Day Promotion That Wasn’t
08:27 How AI Is Changing the Role of the Planner
09:42 What an AI-Enabled Planning Foundation Looks Like
11:02 Should AI Be Treated as Infrastructure?
12:04 Aligning Forecasting, Inventory & Materials Planning
13:19 Where AI Delivers the Most Impact
15:14 From “Supply Chain” to Interwoven Mesh (Rube Goldberg Analogy)
16:16 Visibility Across Suppliers & the End of the “Black Hole”
18:25 AI for Risk Detection & Supplier Trend Monitoring
19:32 Avoiding Dashboard Overload & Analysis Paralysis
21:05 The Biggest Trend: AI Beyond the Buzzword
22:55 Sustainability as Strategy (Revenue, Loyalty & Growth)
25:00 Sustainability & Talent Retention
26:26 Workforce Evolution in AI-Supported Workflows
28:27 One AI Misconception to Retire
31:00 Resilience Before Tools: Redundancy & Readiness
33:38 Finding Your Supply Chain’s “Jesus Nut”
35:00 Anti-Fragility — Thriving in Disruption
35:37 If Alan Turing Saw Today’s AI
36:26 Final Thoughts: Patience with AI
37:47 Where to Learn More
Most supply chains don’t collapse gradually. They fail at a single weak point.
That weak point usually isn’t visible in your dashboard.
Jonathan Doller, Senior Solution Consultant at Logility, works at the intersection of AI, demand planning, constrained inventory allocation, and operational resilience. In this discussion, we examine where AI genuinely strengthens supply chain decision-making, and where it simply papers over structural fragility.
Resilience plans look solid in workshops. They often break under port closures, tariff volatility, constrained supply, and shifting demand patterns. Add climate risk, regulatory pressure, and rising capital costs, and the margin for error narrows quickly. AI is now embedded across forecasting, allocation, supplier risk screening, and scenario planning, but adoption without structural clarity creates new risks.
What changed my thinking in this conversation:
• The distinction between correlation and causation in demand planning. A company removed a promotional discount after AI revealed demand was seasonal, not price-driven, margin improved immediately.
• Constrained inventory allocation as a competitive lever. Allocation decisions during scarcity define market winners.
• The “single point of failure” analogy - supply chains often have a critical dependency with zero redundancy. Most leadership teams can’t clearly identify it.
This discussion is for procurement leaders, supply chain executives, risk managers, and operations decision-makers operating under cost, regulatory, and disruption pressure.
If you’re dealing with these decisions in real time, I’d like to hear how you’re approaching them.
Listen on the podcast:
resilientsupplychainpodcast.com
Subscribe for practical, data-led conversations on supply chain resilience, sustainability, and operational risk.
Timestamps below ⬇️
Chapters / Timestamps
00:00 The “Jesus Nut” - Why Resilience Starts with Single Points of Failure
00:19 Welcome & Guest Introduction (Jonathan Doller, Logility)
01:55 The Biggest Supply Chain Challenge: Pace of Change
02:20 Data vs. Information — Where AI Actually Fits
03:38 AI’s Real Value: Automating the Mundane
04:03 AI Trust, Overload & “Pragmatic Autonomy”
05:24 AI in Forecasting — Correlation vs. Causation
07:04 Case Study: The Mother’s Day Promotion That Wasn’t
08:27 How AI Is Changing the Role of the Planner
09:42 What an AI-Enabled Planning Foundation Looks Like
11:02 Should AI Be Treated as Infrastructure?
12:04 Aligning Forecasting, Inventory & Materials Planning
13:19 Where AI Delivers the Most Impact
15:14 From “Supply Chain” to Interwoven Mesh (Rube Goldberg Analogy)
16:16 Visibility Across Suppliers & the End of the “Black Hole”
18:25 AI for Risk Detection & Supplier Trend Monitoring
19:32 Avoiding Dashboard Overload & Analysis Paralysis
21:05 The Biggest Trend: AI Beyond the Buzzword
22:55 Sustainability as Strategy (Revenue, Loyalty & Growth)
25:00 Sustainability & Talent Retention
26:26 Workforce Evolution in AI-Supported Workflows
28:27 One AI Misconception to Retire
31:00 Resilience Before Tools: Redundancy & Readiness
33:38 Finding Your Supply Chain’s “Jesus Nut”
35:00 Anti-Fragility — Thriving in Disruption
35:37 If Alan Turing Saw Today’s AI
36:26 Final Thoughts: Patience with AI
37:47 Where to Learn More
