brianletort.ai

AI Transformation Library

See how AI changes the work.

102 real-world cases. What changed, what improved, and where people still decide.

CardsTable

8 cases

1–8

CaseAI valueOpen
An editorial scene for Google and Google DeepMind contrasts estimate uncertain output without the ml forecast and avoid firm hourly commitments. with predicts wind output 36 hours ahead from weather forecasts and turbine history. in the ml-recommended hourly wind-energy delivery commitments workflow.
Google and Google DeepMind		Roughly 20% higher value
An editorial scene for Rio Tinto Iron Ore contrasts drives the heavy-haul train between mine and port until the 12-hour shift limit. with controls speed, braking, and responses to restrictions and alarms across the private mainline. in the autohaul autonomous heavy-haul rail workflow.
Rio Tinto Iron Ore		Road travel eliminated
An editorial scene for UPS contrasts build and adjust a route sequence from service commitments and local knowledge. with calculates an optimized route that meets service commitments from package and network data. in the orion algorithmic route sequencing for delivery drivers workflow.
UPS		UPS reported 10 million gallons of fuel saved and 100,000 metric tons of emissions reduced each year
An editorial scene for Amazon contrasts moves inventory and packages through repetitive lifting, walking, sorting, and cart transport. with bring inventory to ergonomic stations, sort and lift packages, and autonomously move carts in shared spaces. in the integrated sequoia, cardinal, and proteus robotic fulfillment workflow.
Amazon		Amazon reports fulfillment processing times reduced by up to 25% within next-generation sites.
An editorial scene for BHP contrasts drive repeated loading, haul, dump, and return cycles in the open pit. with controls repeated haul-truck movement within the mine operating area. in the jimblebar fully autonomous haul-truck fleet workflow.
BHP		More than 90% reduction in significant truck events and 20% lower haulage cost versus other WAIO sites
An editorial scene for C.H. Robinson contrasts manually creates the order and books pickup/delivery appointments, often taking hours or days. with processes orders in about 90 seconds and automates appointments across 42,000 locations with shipment agents. in the ai agents for orders and appointments inside always on logistics planner workflow.
C.H. Robinson		11% faster on average, up to 23%; company says statistically significant
An editorial scene for DHL Supply Chain contrasts enter the trailer, identify each case, lift it, and place it onto a conveyor. with uses perception and a robotic arm to identify, grasp, and place cases from the trailer onto a conveyor. in the boston dynamics stretch robotic case unloading workflow.
DHL Supply Chain		Up to 700 cases per hour; DHL states tested robot speeds exceeded the manual approach
An editorial scene for easyJet with Airbus Skywise contrasts generate fault indications after thresholds are breached or components fail. with analyze aircraft sensor and maintenance data to predict impending component failures. in the skywise fleet performance+ predictive maintenance workflow.
easyJet with Airbus Skywise		44 cancellations avoided in July 2024 and 35 in August 2024
Curated collections →Evidence methodologyPublication history
AI Transformation Library | Brian Letort