Contract award

Exiger, LMI Team to Deliver AI/ML Supply Chain Resiliency for DLA Pilot Program

Technology adviser Exiger announced that, together with Virginia-based consulting firm LMI, the company has been awarded a Defense Logistics Agency contract for a new pilot program to assess and manage supply chains better using cutting-edge technology. The contract will require the two companies to employ their expertise in artificial intelligence and machine learning approaches to improve operations throughout the DLA’s Supply Chain Security Strategy focus areas.

Exiger said that with its proprietary Due Diligence IQ artificial intelligence and machine learning platform, the DLA will improve supply chain security and procurement processes. DDIQ rapidly uncovers, assesses and mitigates supply chain risk exposure at the speed of relevancy, the company said.

DDIQ was designed to supply analysis and insights for critical supply chains and the underlying third-party risk associated with them, driving transformational change in the vetting of entities, Exiger said about its offering. The New York-based company further said that DDIQ has been used to perform due diligence on tens of millions of entities across the world’s largest financial institutions, corporations and government agencies.

Meanwhile, LMI, with 60 years of deep domain expertise in complete logistics support, has a strong record of supporting the DLA and supply chain risk efforts across the Department of Defense, Exiger said about its partner. The latest contract marks LMI’s expansion of its over 25 years of support to the agency, it was stressed.

Exiger explained that after the DDIQ platform and subject matter experts assess the risks and impacts, LMI will step in to employ predictive models to ascertain specific supplier challenges and proactive risk management processes.

LMI’s innovative and agile solutions drive the future of logistics, from reducing costs and risks across the lifecycle to developing agile acquisition strategies or securing critical technical data to achieve greater efficiencies, Exiger said.