
Implementation timelines vary widely depending on the solution architecture. Traditional MEIO tools, typically built on heavy enterprise planning suites, can take 6 to 18 months and often require dedicated data science resources to configure and maintain the models.
Modern AI-driven platforms like Flowlity are designed for faster deployment and much quicker time-to-value. Pre-built ERP connectors, a planner-centric interface, and a cloud-native architecture let mid-market companies go live in weeks rather than months.
Plum Living, for example, rolled out Flowlity across 630 SKUs and 2 warehouses, achieving a 21% inventory reduction at go-live. The key prerequisite is data readiness — if inventory, orders, and sales are already captured at the SKU-location level, implementation moves fast.