Emilie Annweiler

COO & Co-Founder

15+ years in IT and innovation; Masters in Computer Science and Applied Mathematics

COO and co-founder of TetriXX AI, with 15+ years in IT and innovation and a Masters in Computer Science and Applied Mathematics.

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6 articles

#17: Legacy ERP Systems and AI Innovation in Supply Chain

April 4, 2025 · Emilie Annweiler · 4 min read

#17: Legacy ERP Systems and AI Innovation in Supply Chain

Legacy ERP systems promise integration but often block it. On data silos, the rigidity-versus-agility paradox, and pairing ERP with specialised AI agents.

#15: AI ROI and Data Quality in Supply Chain Management

February 21, 2025 · Emilie Annweiler · 3 min read

#15: AI ROI and Data Quality in Supply Chain Management

AI in supply chain management pays back only on clean data: how AI lifts ROI, why silos and inconsistent formats undermine it, and the governance and pilot approach that balances the two.

#14: AI in Supply Chain Performance and Bias Mitigation

February 13, 2025 · Emilie Annweiler · 4 min read

#14: AI in Supply Chain Performance and Bias Mitigation

AI sharpens forecasting and automates procurement, but it can also encode bias. How to spot biased algorithms and the strategies that mitigate them.

#13: AI Expectations in Supply Chain Management (2025)

January 31, 2025 · Emilie Annweiler · 3 min read

#13: AI Expectations in Supply Chain Management (2025)

AI in supply chain management: predictive analytics that cut waste, automation that lifts warehouse and route efficiency, and what Amazon, Walmart and UPS actually run today.

#9: Last Mile Delivery Challenges and Technology Solutions

March 19, 2024 · Emilie Annweiler · 6 min read

#9: Last Mile Delivery Challenges and Technology Solutions

The Last Mile decides whether supply chain succeeds: cost, emissions, infrastructure and area density - and the analytics and optimisation tools that help.

#3: Supply Chain Data Strategy Elements and Benefits

January 20, 2024 · Emilie Annweiler · 3 min read

#3: Supply Chain Data Strategy Elements and Benefits

Supply chain data strategy rests on six elements: governance, data collection and integration, predictive modelling, security and privacy, scalable cloud infrastructure, and continuous improvement.