AI in SaaS is turning inventory forecasting from static, backward-looking plans into adaptive systems that sense demand shifts, simulate scenarios, and recommend inventory moves in real time across channels and regions.Leaders blend ML forecasting, demand sensing, and planner copilots so organizations cut stockouts and excess while aligning supply, finance, and commercial plans on one decisioning … Read more
Supply chains are shifting from manual, batched decisions to continuous, software‑defined operations. SaaS platforms now connect planning and execution across demand, inventory, fulfillment, and transport; stream live signals from IoT/telematics; and use optimization plus AI agents to autonomously plan, route, re‑plan, and resolve exceptions—under strong governance and human oversight. The outcome is faster cycle times, … Read more
Post‑2025 supply chains treat resilience as a system property—designed, measured, and improved continuously. SaaS provides the control plane: multi‑tier visibility, risk sensing, demand/inventory optimization, digital‑twin simulations, and execution orchestration across partners. The winning pattern blends data network effects (supplier, logistics, and risk networks), AI/ML for sensing and re‑planning, and policy guardrails for ESG/compliance—delivered as modular … Read more