Contact Us – Questions, Ideas & Corrections

Got a question about implementing artificial intelligence in your supply chain? Want us to dive into a particular piece of logistics software or a trend in supply chain automation that’s changing the face of Canadian warehouses? Send us your ideas, and who knows, it could be the basis of our next in-depth article. We also rely on the keen eyes of readers like you. If you spot a bug in any of our ROI or ESG calculation tools, a statistic that’s no longer accurate, or a bad link that could lead unsuspecting readers astray, please let us know.

What you can message us about

  • Article ideas: predictive analytics, warehouse automation, AI demand forecasting, route optimization, machine learning in logistics, or specific SaaS tools
  • “How does this work?” requests: questions about interpreting the results of our Supply Chain ROI, ESG, or Disruption Cost calculators
  • Corrections: factual mistakes, missing context, outdated AI capabilities, or technical errors on the site
  • Suggestions: what new calculator features or topics you want to see improved on aisupplychain.ca

Meet the Editorial Team

Sarah Jenkins writes in-depth guides on AI integration, warehouse automation, and predictive analytics. His focus is on bridging the gap between complex machine learning algorithms and practical, everyday logistics applications.
Maksim Rudzenka oversees research and editorial review, focusing on industry case studies and accuracy. She ensures that every article provides up-to-date information on the rapidly evolving AI and supply chain landscape.

Help us help you

To get a faster, clearer reply, include:

    • Your industry (e.g., retail, manufacturing, 3PL, etc. — as AI rules differ by sector)
    • A short description of the situation or question (please do not share sensitive or confidential corporate data)
    • Links or screenshots (if you’re reporting a technical issue with a calculator or a specific page)

Send your message using the form below — we read every note and prioritize topics that help the most supply chain professionals.

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