Case Study

UST helps airline company control food costs and reduce waste by 28%

By analyzing historical food supply and passenger consumption data with UST SmartOps, this airline controlled food costs, reduced waste 28%, and bolstered its reputation as a sustainable, customer-centric organization.

OUR CLIENT

Founded nearly 20 years ago, this multinational Middle Eastern airline is one of the largest commercial passenger carriers in the region. With an aircraft fleet of several hundred planes, the company flies to more than 100 destinations.

THE CHALLENGE

Struggling to manage food costs and waste

The airline wanted to control escalating food costs while minimizing food waste on flights. Because the company served approximately 80 million passengers annually in more than 100 countries, it also wanted to accommodate regional dietary preferences without overburdening its supply chain.

THE TRANSFORMATION

Using historical food supply and consumption data to make informed supply chain decisions

We implemented UST SmartOps, an AI-powered cognitive automation platform that holistically learns and reimagines business processes while intelligently digitizing and compressing manual workflows. The UST SmartOps solution analyzed the airline’s historical food supply and consumption patterns across all flights, pinpointed discrepancies and inefficiencies, and generated a knowledge graph to connect the data points visually.

Using AI-based predictive analytics, UST SmartOps also identified likely food supply and consumption trends. By modeling the patterns, the airline could make informed decisions about quantities and types of food to stock for its different flight routes and times. These insights were then integrated into the airline’s food supplier system to facilitate transparency and streamlined communication between the airline and its suppliers.

THE IMPACT

Controlling costs and reducing food waste by 28%

The UST SmartOps platform delivered tangible results that significantly benefited the airline's operations and bottom line. Now, the airline can accurately forecast food preferences and consumption to control costs and improve customer satisfaction.

The solution also helped the company reduce food waste by 28%, showcasing the airline's commitment to sustainability and responsible resource management.

RESOURCES

https://www.ust.com/en/generative-ai

https://www.ust.com/IQ

https://www.ust.com/smartops

https://www.ust.com/en/alpha-ai