Taiwanese PC maker Acer has rolled out an AI-driven shipment visibility platform across its EMEA supply chain, in partnership with French scale-up Wakeo. The company unveiled early results at the Gartner Supply Chain Symposium 2026 in Barcelona, claiming sharper ETAs and a shift toward exception-based planning.
Predictive ETAs Up to Ten Days Ahead
The platform tracks Acer EMEA’s inbound flows by road, air and sea, with a particular focus on the Asia to Europe corridor. According to Wakeo, the system produces predictive ETAs as much as ten days before goods land in Europe, giving Acer planners earlier warning of disruption and more time to rebalance safety stock. The vendor pulls together carrier data, ERP feeds, third-party logistics platforms and independent satellite sources into a single dataset.
“Supply chain resilience is no longer about reacting faster, it’s about seeing further,” said Julien Cote, Wakeo’s CEO and co-founder. He positioned the deal as a proof point for AI-led visibility at global scale, with recommendations and market benchmarks layered on top of the raw tracking data.
From Reactive to Exception-Based Planning
Riccardo Bernasconi, Acer’s EMEA supply chain director based in Lugano, said the manufacturer’s teams have moved to a management-by-exception model. The change lets planners focus only on shipments that actually need intervention, and pushes optimisation down to SKU-level inventory and tracking granularity.
That mirrors a wider shift inside large electronics shippers, where lead times stretched by trade tensions and Red Sea reroutings have pushed visibility from a nice-to-have to a board-level metric. Predictive ETAs, in particular, are increasingly being used to cut buffer inventory without breaking service levels.
For Wakeo, the Acer win is a marquee EMEA reference at a moment when control-tower vendors are competing hard for global accounts. For Acer, the rollout fits a broader strategy that ties resilience targets to measurable ETA accuracy and a more proactive customer service model.
