FuelHub and Calculum have announced a strategic partnership
FuelHub and Calculum have announced a strategic partnership focused on leveraging advanced analytics and artificial intelligence (AI) based systems to equip users with customized decision support when deploying FuelHub’s Pay-Term Optimization on their energy supply chain.
Calculum empowers procurement and supply chain operations by unlocking working capital while reducing the risk of supply chain disruptions. Using data and AI to analyze and optimize supplier payment terms, Calculum enhances efficiency in the negotiation of payment terms between suppliers, and improves working capital and margins, whilst minimizing risks and costs for businesses.
This strategic alliance seamlessly integrates data and operations analysis to improve supply chain decision-making for FuelHub’s customers. The value-add will be more informed customers with visibility into the financial implications for their business, as well as, their suppliers.
FuelHub provides managed fuel services for bulk buyers, including a solution called Pay-Term Optimization with payments made by U.S. Bank. Pay-Term Optimization pays fuel suppliers as fast as Net 1 while providing extended terms of up to 75 days for bulk buyers. Driven by a shared strategy of maximizing client savings, FuelHub’s alliance with Calculum is the perfect partnership in an economic climate where liquidity and credit are of paramount importance.
“We are delighted to have a dynamic partner like FuelHub where we mutually compliment each other to achieve the common goal of cost and operational efficiency for the fuel industry. This alliance is of added significance as it truly highlights Calculum’s diverse application across a wide range of industries and sectors,’’ said Oliver Belin, Founder and CEO of Calculum.
FuelHub’s CEO, Don Thibodeaux stated, “Our partnership with Calculum dramatically enhances our customers’ ability to model decisions in their energy supply chain. The robust data set, reporting, and transparency are orders of magnitude better for decision support than mere spreadsheet analysis.”