Commodity price optimization for consumer products
What to make when, for whom and at what price?How does your consumer products business respond to changes in commodity prices? Whether you’re producing grains, meat or produce, many factors can affect commodity pricing in a hyperconnected market—escalating feed or fertilizer costs, weather, oil prices, natural disasters and even geopolitics. In the past, processes assumed stable commodity prices, but this is no longer suited to today’s environment. Consumer products companies may find it more difficult than ever to determine optimal price, mix and supply plans. The commodity price optimization solution from IBM allows organizations to turn commodity market volatility into opportunity. It is designed for clients who want to maximize margins, improve account- or channel-level visibility, and proactively manage price fluctuations.
The parameters of smarter sales managementThe commodity price optimization solution provides an instrumented approach by ingesting continuous real-time data from all the key sources—internal and external—that go into configuring the right deal with customers. Data is made available through an interconnected approach, using dashboards to provide integrated recommendations that incorporate market forecasts, production capacity conditions, underlying cost parameters and margin. Overall, commodity price optimization offers an intelligent solution with powerful mathematical models that enable consumer products companies to proactively optimize sales operations by balancing market, production and margin variables in the creation of the “right” deal with customers.
An analytics-based pricing engineThe commodity price optimization solution can enable consumer products companies to transform from a supply-chain model to a market-driven model capable of quickly responding to changing market conditions in the most profitable manner. The solution offers:
Analytics for up-to-the-minute insightsThe commodity price optimization solution works within the IT landscape that you have today. Components can include: