Full Supply Chain AI Agents
Budget: $750 – $1,500 USD
I’m putting together a suite of AI-driven agents that will sit across our entire supply-chain stack. The solution has to think ahead on demand forecasting, keep suppliers engaged and visible, and—most critically—run inventory without human babysitting.
For the inventory piece I must see:
• Stock level monitoring that flags shortages before they happen
• Automated restocking that can trigger POs or internal transfers without manual input
• Real-time tracking so every SKU’s location and status are always up to date
On top of that, the same framework should generate rolling demand forecasts and surface supplier insights (lead-time trends, performance scores, exception alerts, etc.) so decisions stay data-driven.
Code can live in Python, Node, or a language you can justify; what matters is that models remain explainable, integrate cleanly via API/webhooks, and are production-ready. A lightweight UI or dashboard for quick status checks would be a plus.
When you reply, drop links or brief summaries of past work that shows you’ve built comparable ML or agent-based systems in supply chain, logistics, or similarly data-heavy environments. If you already have modular components for forecasting, optimisation, or supplier analytics, tell me—speed to first pilot is important.
I’ll answer any architecture questions quickly so we can lock scope and milestones and move straight to building.
For the inventory piece I must see:
• Stock level monitoring that flags shortages before they happen
• Automated restocking that can trigger POs or internal transfers without manual input
• Real-time tracking so every SKU’s location and status are always up to date
On top of that, the same framework should generate rolling demand forecasts and surface supplier insights (lead-time trends, performance scores, exception alerts, etc.) so decisions stay data-driven.
Code can live in Python, Node, or a language you can justify; what matters is that models remain explainable, integrate cleanly via API/webhooks, and are production-ready. A lightweight UI or dashboard for quick status checks would be a plus.
When you reply, drop links or brief summaries of past work that shows you’ve built comparable ML or agent-based systems in supply chain, logistics, or similarly data-heavy environments. If you already have modular components for forecasting, optimisation, or supplier analytics, tell me—speed to first pilot is important.
I’ll answer any architecture questions quickly so we can lock scope and milestones and move straight to building.