Transforming Demand Forecasting for a Global Personal Care Brand
CASE STUDY 1
November 29, 2025
Challenge
The brand struggled with erratic demand patterns across regions, leading to overstocking in some markets and stockouts in others.
IQS Solution
- IQS deployed a predictive analytics engine tailored to CPG buying cycles, integrating POS data, seasonal trends, and consumer sentiment from social platforms.
- Leveraged platform-based delivery to unify data across supply chain, marketing, and retail teams.
- Enabled real-time dashboards for demand planners and merchandisers.
Impact
- Improved forecast accuracy by 28%
- Reduced inventory holding costs by 15%
- Enabled agile product launches based on emerging consumer trend.