Over 15% of the aluminum produced in China comes from Xinjiang, a region where the government has conducted a “long-running campaign of repression against Uyghurs and other Turkic Muslim communities.”

With more consumers than ever making purchases online, last-mile delivery has become an increasingly complex link in the supply chain. Now, as consumer expectations, technology, and supply chain risk continue to change, many companies are finding that their last-mile strategies must also evolve. 

Everyone wants a delivery partner that delivers goods on time, in undamaged condition, to the right location. Too often, though, wanting is not getting. Shipments are delayed leaving the warehouse, merchandise is damaged somewhere in transit, and consumers end up checking their neighbors to track down wayward cartons.

The continued application of artificial intelligence and machine learning to supply chain digitization efforts will ultimately enable the holy grail of the autonomous supply chain. How? Read on to find out.

Market volatility has eased somewhat relative to levels seen in the past three years, but the operational demands and customer expectations from an acceleration of omnichannel e-commerce – now around 20% of retail shipments and growing at ~10% annually – are here to stay.

As they grow ever more complex, modern supply chains require comprehensive lifecycle orchestration.