SAVOYE is building AiRVOS into warehouse execution control

AiRVOS Work Release At ProMat

SAVOYE North America published its AiRVOS warehouse execution system record on April 30, 2025, around the ProMat 2025 showcase in Chicago. The product-anchor problem is warehouse saturation across mixed subsystems. Automated buildings can have shuttles, robots, ASRS, sorters, picking stations, and pick-to-light equipment moving at different rates. AiRVOS is built to measure capacity in real time, release priority work, and coordinate those subsystems through one WMS-facing execution layer.

SAVOYE says AiRVOS sequences orders according to customer priority constraints, operator efficiency, and physical equipment capacity. It also estimates lead time across picking, inventory, replenishment, temporary storage, packing, and palletizing work. A separate AiRVOS product page describes continuous load balancing, real-time equipment status, sensor data visibility, and a nano-service architecture for connecting third-party subsystems. That gives AiRVOS a clearer role than a generic dashboard: it decides where work should enter the automated system when capacity is uneven.

SAVOYE Scale Behind The Software

SAVOYE company material records 740 employees across EMEA, more than 1,000 equipped platforms, more than 700 WMS-controlled warehouses, deployments in more than 40 countries, and 141 million euros of turnover in 2024. That scale gives the AiRVOS launch a portfolio base across packaging, WMS, WCS, conveyor, shuttle, and goods-to-person systems. SAVOYE WCS material describes the physical-control layer as the part that starts motors, diverts sorters, and deploys shuttles so items reach the correct packing station at the right time.

Reviewed public material treats AiRVOS as a 2025 WES product surface and does not confirm whether named customers were live before the ProMat record. It also does not publish AiRVOS customer count, live order-release accuracy, subsystem saturation reduction, deployment time, or labor savings by facility. The clearest public metric is orders released per hour by automated subsystem under SAVOYE, paired with exception rate by facility.

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