![Blue Smoke](https://static.wixstatic.com/media/998766ca964d5789797423ea691c11e8.jpg/v1/fill/w_144,h_90,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/998766ca964d5789797423ea691c11e8.jpg)
Inventory Planner
The supply chain product suite of Anicca provides algorithms for demand forecasting, recommended buy, lead & cycle time, margin, and revenue optimization.
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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
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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
![Image by Shahbaz Ali](https://static.wixstatic.com/media/nsplsh_93e3ab5c75f14ed7b9d14bf102e69953~mv2.jpg/v1/fill/w_123,h_82,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/nsplsh_93e3ab5c75f14ed7b9d14bf102e69953~mv2.jpg)
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