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Case Studies.

ARTIFICIAL INTELLIGENCE bankloan
THE CUSTOMER

One of the "big four" banks in China, formerly the 2nd largest bank in the world.

THE ASK

The customer sought a solution to improve the accuracy of forecasting bank loan opportunity growth using advanced forecasting techniques. They wanted to leverage clustering analysis to categorize customers based on various indicators such as location, business category, and customer attributes. Ultimately, the customer aimed to enhance their forecasting precision to support better resource allocation across thousands of branches.

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ARTIFICIAL INTELLIGENCE inventory
THE CUSTOMER

A technology solutions and services provider company.

THE ASK

The customer needed to implement a bottom-up, data-driven inventory optimization approach. The goal was to reduce capital in low ROI inventory and simplify operations in their Distribution Centres (DCs). This optimization aimed to create additional capacity for growth without expanding the customers real estate footprint.

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ARTIFICIAL INTELLIGENCE sports
THE CUSTOMER

A globally recognised basketball league.

THE ASK

The customer needed to schedule 1,230 games for its 30 teams over six months. These games had to be planned in venues that hosted other events like hockey games, wrestling events, circuses, and concerts. The scheduling process had to consider multiple objectives, including ensuring teams and players had adequate rest and reasonable travel, maximizing weekend games to engage fans, featuring high-quality matchups on national television, and maintaining a competitive balance.

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