United StatesConsumer goods2025 – ongoingClorox
AI predictive analytics for procurement pricing forecasts
Clorox reported 30–40% time savings in some pricing and procurement workflows
Problem
Clorox's procurement forecasts required substantial manual work and did not provide the accuracy its teams needed. This slowed planning and budgeting decisions.
Approach
Clorox introduced predictive analytics for procurement pricing forecasts around 2025. Teams refined the system to reduce manual inputs and improve forecast accuracy. Supplier relationships and approvals remained under human control.
Results
Takeaway
The time savings applied to some workflows. Clorox did not disclose a procurement-wide average or a numerical forecast-accuracy improvement.
Categories
- Industry
- Consumer goods
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Company's own claim
Sources
Source summaries
Clorox reported improved forecast accuracy and time savings of 30–40% in some pricing and procurement workflows. It said human staff retained responsibility for strategic decisions and approvals.
Chief procurement officer Eva Choe said Clorox began its rollout nearly a year earlier. She described reduced manual forecasting inputs and better accuracy without providing a numerical accuracy result.
Full details are in the original sources.