Forecasting demand for specialty chemicals is difficult, yet at the same time critical to planning the inventory that drives the high service levels and consistent performance that retail customers demand. In addition, industrial customers have large, erratic consumption patterns, and expect stock to be available whenever they need it either on your site or at theirs. Production constraints, whether batch or continuous, complicate the process.
But our specialty chemical customers are reliably achieving sustainable fill rates as high as 99%, typically with 20% less global inventory. Demand modelling incorporates internal and external elements such as: market trends, seasonal demand profiles, and promotion forecasting. Demand collaboration brings together demand and forecast data from multiple sources in a web-based consensus platform. Improved demand sensing generates more robust and reliable forecasts. Promotion planning, forecasting and monitoring is also improved.
Inventory optimisation and replenishment delivers high customer service levels, even across multi-echelon networks. It also addresses Vendor Managed Inventory (VMI), transportation constraints such as minimum shipment order quantities, rough cut capacity planning constraints such as run length and batch size. S&OP bridges a critical modelling gap to reliably connect tactical planning to operational execution.
The good news is that most food and beverage companies already have the data they need to achieve big improvements in their supply chain. Armed with powerful demand analytics and supply chain optimisation tools, our customers move towards a market-driven forecast. They capture and model the market attributes that impact demand, generating more signal and less noise, and improving the forecast, inventory and service levels.
Food and beverage companies achieve sustainable service levels as high as 99%, usually with about 20% less global inventory. They increase residual product shelf life, maintain freshness, and minimise spoilage and out-of-date returns.
Demand modelling incorporates internal and external elements such as seasonal demand profiles while demand sensing acquires fresh daily demand data for sensing short-term changes in demand. Inventory optimisation and replenishment delivers high customer service levels, even across multi-echelon networks. It also addresses product expiration constraints, rough cut capacity planning, transportation constraints such as minimum order quantities, and S&OP.