Accurate, ML-driven demand sensing replaces guesswork, giving planners early visibility into true market need.
Companies that deploy AI forecasting report 10–15% higher forecast accuracy and up to 18% fewer demand errors.
An integrated spend-and-risk heat map shows where price spikes, tariffs, or compliance gaps will erode margin next.
Early-warning analytics help protect 2–5% of EBITDA in volatile categories by flagging threats before they hit.
Always-on scorecards track OTIF, quality, and service so under-performing suppliers are flagged before projects slip.
Organizations that monitor OTIF consistently raise on-time performance by 5–10 points and reduce expediting costs.
Dynamic safety-stock and EOQ analytics balance availability with working-capital efficiency every day—not once a quarter.
Smart inventory strategies reduce carrying costs by 8–15% while maintaining fulfillment rates.
Pattern-mining surfaces off-contract or duplicate purchases so Procurement can recapture hidden leakage.
Organizations that reduce maverick spend typically reclaim 7–12% in savings on non-compliant transactions.
“What-if” scenario analytics quantify savings and risk across volume, supplier, or pricing changes—before sourcing begins.
Teams using scenario modeling speed up decisions by 30–50% and unlock 3–5% incremental savings through smarter allocations.
