This research has aimed itself at capitalizing the benefits of CPS-enabled visibility and traceability technology for adaptive synchronization of pick-and-sort ecommerce order fulfilment. With assistance of IoT systems, the involved men, materials, and machines are turned into smart objects, deploying in the real-time environment. According to the real-time data collected from working stages, an adaptive synchronization mechanism with associated HGA-VNS algorithm is proposed to balance the picking simultaneity and sorting punctuality. Picking simultaneity attempts to make the items of a pick wave to be picked by several pickers in their particular working zone simultaneously and finished in a same time window, so that the subsequent sorting process could be started as early as possible. Sortation punctuality aims to ensure that the due date of an individual order is satisfied. The presented method is verified and evaluated via a case study. Trade-off analysis and sensitivity analysis are also examined with several key findings, considering varied order fulfilment scenarios such as slack / busy season, zoning effects, and item assignment policy.