• enVista last week launched its intelligent, cloud-based warehouse execution system, enMotion WES+, the newest addition to its enMotion software suite. • The company said it built the platform for rapidly evolving automated warehouses. • enMotion WES+delivers real-time orchestration and integration of third-party warehouse management systems (WMS), warehouse control systems (WCS), and robots and automation, said enVista. • Using machine learning and predictive analytics, theWESmanages, plans, and schedules how work gets done and what resources are required to ensure that customers’ orders meet service-level agreements (SLAs). • “With enMotion WES+, we’re expanding on our enMotion WCS solution by intelligently modeling every workflow and subsystem in automated warehouses,” stated enVista CEO Jim Barnes. • “When we asked 20 of our customers that run highly automated distribution centers how they plan and schedule work to ensure that their SLAs are met, the majority of them didn’t have a way to schedule their work or ensure they were on plan without running a lot of reports and manually reassigning tasks.” enMotion designed for real-time management enMotion WES+ can make real-time adjustments to warehouse workflows based on time, throughput, resource capacity, and customer service levels.

Article Summaries:

  • enVista announced the launch of enMotion WES+, a cloud‑based warehouse execution system designed for rapidly evolving automated warehouses. The platform delivers real‑time orchestration and integration with third‑party WMS, WCS, and robotic equipment, using machine learning and predictive analytics to plan, schedule, and adjust work flows on the fly. By decoupling work from traditional wave‑based rules, enMotion WES+ aims to keep service‑level agreements (SLAs) on target through proactive exception management and dynamic resource allocation. The microservice architecture lets users redesign and optimize workflows across induction to outbound without disrupting operations, and it supports conveyors, sorters, AMRs, AGVs, and other automated systems.

Sources: