SENTIENT Case Study

Global Supply Chain Optimization

Customer

Multinational Energy and Electrical Equipment Retailer.

Industry

Manufacturing (Electrical Equipment)

Function

Global Supply Chain Optimisation

Problem

As a massive multinational energy and electrical distributor, the company boasts over 200 manufacturing facilities and 100 distribution centers, worldwide. Their aim is to efficiently reduce the supply chain costs involved with maintaining these facilities and operations.

Solution

A customized, predictive, AI model was developed to automatically optimize supply chain routes for the company’s enormous raw material supply chain. The model was developed using enterprise supply chain data residing on 27 legacy ERP systems, which contained information such as transportation rates, shipping routes…etc.

Result

The model was able to identify $9.32 million in annual savings for the company within 2 – 4 hours of analysis. It successfully advised solutions to the product flow in the supply chain and significantly reduced material handling, inventory storage, and transportation costs.

More Use Cases

For the Manufacturing Industry

Automotive

Automotive service provider uses historical repair order data to improve customer service

Food

Fruit producer ensures optimal quality of products during transportation and delivery

Hardware

Hardware manufacturer reduces factory downtime

2263, KAUST Tech Park Headquarters, 

4700 KAUST, Thuwal, Saudi Arabia 22935

Contact

Call : +966 54 312 3734

Email : info@unitx.tech

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