LevaData Collaborates with IBM to Deliver Better Actionable Insights

LevaData is collaborating with IBM to deliver a cognitive analytics and direct procurement sourcing services solution that will give procurement leaders the power to achieve business-changing outcomes through actionable insights.

The new offering, DirectSpend IQ, brings together IBM's expert managed services with LevaData’s Cognitive Sourcing Platform to deliver insights and recommendations for direct procurement cost savings opportunities and process transformation.

Together, LevaData and IBM are embracing the idea that intelligent, agile supply chains are designed to learn from experience, creating greater reliability, transparency, and new competitive advantages.

“The technologies that transformed disciplines like engineering and finance have been slow to reach supply chain management and procurement. In an era defined by software, data and AI, the mission-critical procurement function needs to operate with the full benefit of AI-based predictive analytics,” said Rajesh Kalidindi, LevaData founder and CEO. “LevaData and IBM are committed to ensuring leaders in global manufacturing industries can achieve competitive advantage by increasing agility, driving efficiencies and reducing risk.”

This capability is currently being adopted within IBM's own direct materials procurement organization to drive incremental increase in annual cost savings. 

Furthermore, IBM’s procurement professionals can now focus more on building new value for the business, improving supplier engagement and servicing business needs in a more flexible, agile way. The LevaData platform enables visibility and end-to-end sourcing.

“Applied AI, analytics and process automation have become essential to innovative supply chain transformation,” said Bob Murphy, IBM chief procurement officer. “As enterprises continue to invest in cognitive technologies to improve their agility and competitiveness, LevaData and IBM are committed to a solution that is able to adapt and learn.”

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