AI Inventory Management App

My goal is to build an AI-driven inventory management application that keeps stock counts accurate to the second and helps me plan cash flow before problems arise. The core of the platform is real-time inventory tracking—every SKU, every location, synchronised automatically. Beyond the live view of stock, the system must: • run order management workflows end-to-end (receive, pick/pack/ship, confirm) • generate clear budget-forecast reports so I can see purchasing needs and working-capital requirements weeks ahead If predictive algorithms or machine-learning models improve the accuracy of those forecasts, please incorporate them. The finished software should be easy to use through a clean dashboard and expose a secure API for future integrations. Deliverables • Source code and documentation • Tested, deploy-ready application (web or desktop) with real-time inventory tracking, order management and budget-forecast modules active • Short hand-over session so my team can maintain and extend the solution on our own I’m happy to clarify technical preferences once we connect; feel free to propose the stack you believe best supports these requirements.