Overview
Proactively detect service risks (supply shortfalls, late shipments, promo spikes) and recommend mitigations—before they hit customers.

Problems We Solve

• Reactive service management

• Hidden risks in siloed data

• Slow mitigation decisions

What You Get

• Risk engine (lead times, coverage, demand/supply variance)

• Playbook‑style mitigations (expedite, reallocate, substitute)

• Power BI dashboards: risk heatmap, impact, and actions

Inputs / Outputs

• Inputs: near‑term demand, supply plans, lead times, priorities

• Outputs: risk list with severity, mitigation plan, BI‑ready dashboard

How success looks like

• 60-80% of time saved on service identification and mitigation tasks

• 1-5% improvement in service.

• Fewer last‑minute escalations

Typical Timeline

• Pilot: 3–5 weeks

• Scale: additional families/markets in 1–3 weeks

FAQs

• FAQ: “Can we customize mitigations?” → Yes—playbooks are parameterized.