Our AI platform enables footwear brand to conduct consensus forecasting with advanced statistical methods, and enhancing accuracy.
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Our AI platform enables footwear brand to conduct consensus forecasting with advanced statistical methods, and enhancing accuracy.
Our AI platform enables footwear brand to conduct consensus forecasting with advanced statistical methods, and enhancing accuracy.
Problem Statement:
Managing numerous SKUs with multiple attributes added complexity to forecasting
1000+ New SKUs get introduced every month.
Absence of consensus-based forecasting.
Needed a mechanism to integrate the input from the Sales team into the forecasting process.
Value creation:
Forecast accuracy up by 15%
Inventory reduction opportunity of 10%
Granular level forecasting based on sub-attributes of the product
Removed all spreadsheet-based processes of planning
Success Stories Home » SaaS Success Stories » Our AI platform enables footwear brand to conduct consensus forecasting with advanced statistical methods, and enhancing accuracy. Our AI platform enables footwear brand to conduct consensus forecasting with advanced statistical methods, and enhancing accuracy. Problem Statement: Managing numerous SKUs with multiple attributes added complexity to forecasting 1000+ New SKUs get introduced every month. Absence of consensus-based forecasting. Needed a mechanism to integrate the input from the Sales team into the forecasting process. Value creation: Forecast accuracy up by 15% Inventory reduction opportunity of 10% Granular level forecasting based on sub-attributes of the product Removed all spreadsheet-based processes of planning Flowcharts: Company Leading Footwear Manufacturer Industry Footwear No. of SKUS 10,000 + No. of Warehouses 19 Focused Area Demand Planning Download the Report 2.2 MB
Success Stories Home » SaaS Success Stories » Our AI platform enables footwear brand to conduct consensus forecasting with advanced statistical methods, and enhancing accuracy. Our AI platform enables footwear brand to conduct consensus forecasting with advanced statistical methods, and enhancing accuracy. Problem Statement: Managing numerous SKUs with multiple attributes added complexity to forecasting 1000+ New SKUs get introduced every month. Absence of consensus-based forecasting. Needed a mechanism to integrate the input from the Sales team into the forecasting process. Value creation: Forecast accuracy up by 15% Inventory reduction opportunity of 10% Granular level forecasting based on sub-attributes of the product Removed all spreadsheet-based processes of planning Flowcharts: Company Leading Footwear Manufacturer Industry Footwear No. of SKUS 10,000 + No. of Warehouses 19 Focused Area Demand Planning Download the Report 2.2 MB