AI case studies from the real-world

A global transport provider gains a significant competitive advantage by implementing AI for supply chain visibility

Maersk aims to acieve safer and more efficient maritime operations with AI-powered situational awareness system on containerships

UPS aims to avoid trouble spots in its global network by rerouting packages away from snow with machine learning

UPS plans to streamline internal operations by tracking every package and asset in real-time using sensors and machine learning

UPS saves 10 million gallons of fuel and $100 million per year by optimising driver delivery routes that consider real-time traffic and weather information obtained from social media and machine learning

UPS saves over 10 million gallons of fuel and up to $400m in costs annually with advanced telematics and analysis

UPS uses network planning tools to optimise the flow of packages within its network from loading docks to sorting to the final destination

Infinera will optimise its supply chain management to make better predictions about delivery dates using machine learning

Starcorp chooses which projects to pursue by evaluating probability of success as well as risks associated with different options using machine learning

Unnamed global manufacturer reduces inventory costs by 25-35% and frees up working capital using machine learning

The U.S. Organ Procurement and Transplantation Network is saving lives by matching kidney donors and recipients using algorithms built by AI researchers

University of Pittsburgh Medical Center (UPMC) improves hospital supply chain performance to achieve 92% on-time payments with AI

Shell saves over a million dollars annually by doing inventory analysis 32 times faster using machine learning

Amazon is testing its Prime Air drone delivery service promising to fly parcels to customers within 30 minutes of ordering.

Flipkart attempts to resolve address problem in India using machine learning

Kiabi increases in-store product availability by 7% by optimising supply chain management with machine learning

StitchFix keeps track of customer behavioural and purchase patterns to predict demand and manage inventory using state transition matrices and Markov chain models

General Electric has saved $80 million over the past few years by integrating supplier data across business units using machine learning

Leroy-Merlin forecasts sales and suggests orders to department managers to optimise supply chain with machine learning

Domino’s delivers world’s first ever pizza by drone in New Zealand

Gousto, a British meal kit retailer uses genetic algorithms to optimise warehouse to determine factory layout and movement of boxes through the floor

Granarolo reduces inventory levels by more than 50% and cuts capital and lead time in half using machine learning

Instacart predicts availability of 200 million grocery items every 30 minutes using machine learning

Lineage is boosting warehouse efficiency by 20% with AI powered smart placement

Ocado saves £100,000 per annum by real-time monitoring of cloud migrations and performance of web applications and identifying issues automatically using machine learning

Aston Martin raises public first time availability target 2% to 97.5% and drives 18% reduction in safety stock value with machine learning engine

Big River Steel makes more accurate demand predictions using machine learning

Big River Steel reduces cost of outbound transportation and optimises delivery windows using machine learning

Roy Hill iron ore project optimises mine operations planning based on predicting supply chain outcomes

Didi to tackle traffic congestion and optimise navigation routes with deep learning