JDA Software ramps up AI capabilities with acquisition

7/3/2018
A new acquisition will enable JDA Software to bolster its supply chain solution offering with artificial intelligence (AI).

JDA will acquire Blue Yonder, a provider of AI solutions for the retail industry. The deal is expected to close in August, subject to competition agency approval.

Blue Yonder’s AI and machine learning (ML) algorithms enable retail companies to transform their core processes, and automate complex decisions that deliver higher profits and customer value. The company’s data science capabilities will allow JDA to more quickly embed new levels of actionable intelligence across all areas of its SaaS solution roadmap, which encompasses retail/supply chain planning, execution labor management and omnichannel delivery.

The transaction also complements JDA’s strategy of developing cognitive and connected solutions to power digital transformations for companies seeking to create a competitive advantage for their supply chains. The acquisition will also enable Blue Yonder to accelerate its growth, invest more resources to development and deliver even more innovation to customers at scale to help deliver on JDA’s vision for an autonomous supply chain.

“Major digital transformation of supply chains is underway and the ability to quickly access intelligent, actionable data and insights will determine the future winners and losers,” said JDA CEO Girish Rishi. “JDA’s end-to-end solution portfolio, coupled with Blue Yonder’s leading AI/ML capabilities, will enable customers to deliver more autonomous, profitable business decisions throughout their extended supply chains, unlocking the full business impact of intelligent data.”

Blue Yonder’s founder, Dr. Michael Feindt, will provide ongoing thought and innovation leadership to both companies. The company’s CEO Uwe Weiss will join JDA’s operating committee.

“With JDA’s global scope and reach, we have a terrific opportunity to drive the use of our AI solutions throughout the world’s largest and most complex supply chains, and to support companies in driving AI innovation and automated decisions in complex supply chains,” said Weiss.
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