The customer is one of the Leading Consumer Goods manufacturing companies, an Indian Multi-National Company with a presence in over 60 countries. It is the world’s largest manufacturer of air-coolers, with manufacturing at 10 locations & complex business network with Retailer, Distributor & CFAs
Customer was planning to streamline its SNOP Process through the following steps :
Hundreds of SKUs in over dozen different categories with seasonal & non-seasonal sales patterns, Multilevel Organization consisting of over few thousand Distributors & Dealers, over hundred branches, over thirty Zones, nearly a dozen National Heads & six different sales channels Head
Different segments of Customers connected through different sales channels. Consolidation & integration of multiple supply chains for demand planning at OEM & CFA levels.
High Volatility in the market as demand varied as per seasonal factors, which made it complicated to take a call on Inventory positions at OEM, CFA & distributor levels by considering optimum service levels.
Lack of end-to-end visibility in Demand Planning & Inventory Planning and in generating OEM level Production Requirement. Absence of systems limited the organization from dealing with complex supply chain configurations
Scalable System – End to end Planning system that could deal with a large scale problem of forecasting, setting Inventory Norms and generating Production Requirement
Collaboration – Demand Planning System to enable collaboration amongst various stake holders across different channels, categories and Organizational Hierarchies
Accurate Forecast and Optimal Stock Norms – Improve Forecast accuracy. Classify SKUs based on Volume, Volatility and set Service Levels based on Market Segments. Optimize Inventory Norms to meet the overall Service Level Requirement with minimum Inventory
Long-Term Forecast and Production Requirement – Generate long-term Demand Forecast. Generate Production Requirement at Factories based on Forecast and Inventory Levels.
Capable of handling large scale problems with millions of product market combinations
To enable collaboration amongst stake holders across channels, categories and Organizational Hierarchies.
Accurate Forecast and Optimal Stock Norms
Demand & Inventory Planners
High Forecast Accuracy and Segment wise Optimal Inventory Norms to meet the overall Service Requirement
Long-Term Forecast and Production Requirement
Demand & Supply Planners
To generate long-term Demand Forecast and Production Requirement at Factories
Stock to Service Relationship
Generates unique Stock to Service Curve for each product at each location based on Demand Variability, Lead-time, Review Period, Lead-time Variability, Supply Compliance, Production, Distribution Lot-sizes, etc
Multi-Echelon Inventory Optimization
Optimizes Inventory across multiple echelons and identifies the right echelon for inventory deployment for each product
Multi-Product Inventory Optimization
Sets the right service level for each Product at each location to meet the overall Service requirement. Optimally apportions the inventory budget. Automatically sets lower service targets for high volatile items
Inventory at different Nodes
The inventory planner suggests the days of supply & converts the demand in Norm’s quantity based on the calculation, it suggests the right inventory at different nodes in the supply chain. We suggested inventory at the CFA level, which helped the OEM to plan accordingly.
Supply Planner helps in monthly and weekly dispatch requirement planning considering the monthly demand, available inventory, pending dispatch, In-transit, and safety stock norms. it suggests bucket wise Net Requirement for each SKU at CFA and OEM locations
10% Improvement in the forecast accuracy
Forecasting process adherence improved significantly along with better visibility of control over forecast changes
95% Service Level
Service Level, different service levels for different SKU-location combinations improve the existing service level by approximately 7%
18% Reduction in current Inventory Level
Recommended Norms will help to reduce the inventory by approx.18%