Supply chain & Logistics
Forecast Demand, Fulfill Smarter
goal
Challenge Faced
Logistics providers and retailers often face overstocking, stockouts, or poor resource allocation due to inaccurate demand predictions. Traditional forecasting struggles with sudden market shifts, promotions, or seasonality.
solution
Our Solution
We built an AI-powered demand forecasting engine that uses sales history, seasonality, events, and external data like weather or trends to forecast demand with higher accuracy.
Tools we used
Approach
Step-by-Step Workflow
Step 1
Collect sales, promotions, and market trend data.
Step 2
AI models detect demand patterns and anomalies.
Step 3
Forecast demand across SKUs, regions, and timelines.
Step 4
Share forecasts with inventory and supply chain teams.
Quantifiable Benefits
Higher forecasting accuracy
%
Reduction in excess inventory
0
%
Fewer stockouts during peak demand
%
Who’s Using This
Amazon AI demand planning
Walmart predictive supply chain
Unilever demand sensing with AI
Why It Matters
AI-driven forecasting aligns production, inventory, and logistics — ensuring businesses stay lean yet responsive.