Demand Forecasting
Forecasting demand at various product hierarchy levels. Customised data pipeline to read the product hierarchy and produce forecast. An event & market intelligence based forecasting approach to address volatility in demand.
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Hierarchical forecast for planning
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Uncertainity bounds to address market volatality
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Accuracy measurements for performance
Replenishment System
Merchandise planning & reorder quantity products using economic order quantity and weeks of cover modules. Using anicca's replenishment algorithm, buyers & planners have ability to make decisions based on product turns and payment terms.​
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Demand Forecasting of products & items(with size)
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Lead time prediction & variance
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Order cycle analysis
Recommend Buy & Sell through analysis
Recommended buy quantities are calculated based on on-hand, on-order inventory, and lead time level forecast. An optimal recommendation of quantity by time is developed to facilitate purchase-order planning.
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Recommended buy quantities at SKU level
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Final quantities for placing PO
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Sell through analytics dashboard
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API integration to transactional systems
Alert and Simulation Engine
Simulation models to capture demand influencing factors and adjust forecast along with recommended buy. Alerting mechanism to notify product inventory levels
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Demand variance-based sell through projection
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Identify and augment out of stock scenarios
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Proactive aged inventory mapping
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Gauging Lost opportunity
“Speed is awesome. It’s so fast… Excited to get this one out there! I want to subscribe my agencies and field teams to ALL the views”