demand forecasting
Beyond Market Intelligence keeps demand forecasting in one place: 3 stories so far. The section currently leads with “From ex-Tesla engineers, an AI supply chain platform powers DoorDash and HelloFresh”, “Your AI model is not your competitive advantage”, and “Explore how data models failed when empathy mattered most on a flight.”. From ex-Tesla engineers, an AI supply chain platform now powers DoorDash and HelloFresh. Target's AI edge isn't the model, it's the discipline wrapped around it. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every demand forecasting story on Beyond Market Intelligence, newest first.
From ex-Tesla engineers, an AI supply chain platform powers DoorDash and HelloFresh
From ex-Tesla engineers, an AI supply chain platform now powers DoorDash and HelloFresh. Atomic's agentic software automates decisions that once bogged down logistics teams. That's not incremental improvement, it's a smarter way to move goods. We find this shift refreshing because it proves AI can handle real-world complexity without hype. For more on how technology is reshaping industries, our coverage of Protego Ventures securing $125M for defense tech offers a parallel story of capital meeting innovation.
Your AI model is not your competitive advantage
Target's AI edge isn't the model, it's the discipline wrapped around it. Siobhán Mc Feeney argues that autonomy must be earned, not granted, and Target's four-level ladder proves it. Starting with observation and advancing only through proven accuracy keeps agents accountable. That's a sharp counter to the rush to deploy. For a deeper look at how this thinking scales, our piece on bridging retrieval and action shows why connecting systems matters just as much as the intelligence driving them.
Explore how data models failed when empathy mattered most on a flight.
An overbooked flight cost one airline $8 million in a single incident, while an affected passenger walked away with $5,000 and a story poised to go viral. That gap is the real tragedy of data science. Numbers tell us what happened, but they rarely capture the human cost behind the spreadsheets. This tale is a reminder that even the smartest models miss what matters most. For those eager to explore how data-driven systems fail, this is a compelling place to start.