Insights from the Future of Distribution
Thought leadership on AI and technology shaping manufacturing and distribution
From Pilot to Production in Distribution
A pilot that shows promise is the easy part. The hard part is turning that signal into a repeatable capability, without creating chaos for operations, margin surprises for finance, or distrust from frontline teams. Here's a practical guide to scaling AI safely.
How to Run an AI Pilot in Distribution Without Getting Stuck
Most AI pilots in distribution don't fail because the model is 'bad.' They fail because the pilot is too broad, the workflow isn't designed, the baseline is unclear, or no one owns the operational change. Here's a practical 2–6 week playbook.
Where to Start With AI in Distribution
AI can feel like a giant menu of options. Most distributors don't have an 'AI problem'—they have a prioritization problem. Here's a practical map of AI opportunities and starter experiments.
How to Measure AI Experiment Impact in Distribution
AI pilots in distribution often fail for a boring reason: not because the model was "bad," but because the team never agreed on what success looks like. Here's a practical measurement playbook.
Stay Updated
Get the latest insights on AI, distribution, and manufacturing delivered to your inbox.