Though commodity markets have rebounded slightly in 2022 after a rocky 2021, “investors shouldn’t be so fast to take it as an indication that we are in the clear,” states MorganStanley.com. Along with inflation-driven concerns, current geopolitical tensions have “added another layer of volatility to an already-jumpy market as investors priced in the possibility of escalating conflict,” according to a recent report from Reuters.com.
Taking those market volatility drivers into account, it’s now more critical than ever for commodity-driven B2B companies to leverage the power of data science and cloud-native pricing solutions. Many companies whose costs are heavily driven by commodity prices are overly reliant on manual tools and processes and find that they are ill-equipped to update prices as quickly and frequently as costs change. These companies instead should be investing in the ability to respond as fast as costs change as that is key to improving pricing processes and margins.
There is large misconception in the pricing world that price optimization and management software cannot be applied to commodity-driven industries, but that couldn’t be farther from the truth. Join Zilliant Principal Pricing Scientist Kevin Pierson on Tuesday, March 1, at 9:00 a.m. CST / 4:00 p.m. CET for an in-depth session all about how it’s possible to apply price optimization and management software in commodity-driven industries, as well as how to deal with data sparsity and dynamically bring cost data into your pricing model.
Also on the agenda: Strategies for updating and publishing new pricing as quickly as the market changes, how to address supply variance, how to use price optimization to scale to meet highly complex pricing challenges, and best practices to use cost data to respond more intelligently and more effectively to changing market conditions via pricing.