Fast-Moving Consumer Goods
Sales Forecast & Smart Replenishment
Fast-Moving Consumer Goods face intense competition from evolving consumer preferences, omnichannel growth and agile supply chain needs. Key challenges include balancing inventory across stores and addressing seasonal fluctuations.
Core pain points are inventory misalignment, frequent stock-outs from poor replenishment strategies causing penalty costs and capital tie-ups and data-driven inefficiencies, with low forecasting accuracy (<60%) and manual processes failing to adapt to real-time market shifts.
Core Problems Solved
The project employs AI-powered demand forecasting and automated replenishment systems to address inventory inefficiencies and data silos. By integrating sales data, store-level inventory and promotional calendars, the solution optimizes stock levels, reduces reliance on manual planning and enhances supply chain responsiveness.
Key Features of the Solution
- Multi-Model Forecasting
- Automated Replenishment Planning
- Data Middle Office Integration
Achievements and Benefits
$2.5 Million
Inventory turnover reduced by over 4 weeks, freeing up $2.5 million in inventory costs for a single brand.
2%
Average stockout rate maintained below 2%, with a 70% year-on-year reduction in stockout penalties ($560,000 saved for a single brand).
$10,000/Year
Eliminated $10,000/year in third-party data procurement costs for one brand, a 69% reduction.
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