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Case Study - AI / ML

RESTRUCTURING LOGISTIC OPERATIONS TO SAVE $10 MILLION USD

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The company is one of the world’s largest chemical
manufacturing company and is listed as Fortune 1000
company. The company fulfills about 10000000
orders annually and globally.

THE CHALLENGE

The organization was on a mission to full and scale its 1 million orders globally and efficiently. The customer expectations continued to evolve; the company’s logistics function was facing challenges in this fantastic omnichannel marketplace. The operations of the company were decentralized, generating disconnected data with no visibility or consistency for any and all core processes. With little connection between the supply chain and the rest of the business, the transportation costs were very high, and the efficiency of the company was compromised.

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