The good to person automation system with G.Com/Kiva creates multifunctional workstations for order picking, packaging, filling and returns. As we can see in the above picture 1, the Carries move Racks or items to manual pick station by loading up to 600 kilograms and drive them for with up to 90 minutes and then it turns to the spot. The Battery can be charged at charging stations or while driving. Shelves can be customized and this creates more efficient storage and Picking i.e Space-saving buffer in front of pick station to avoid waiting times at the picking station (BLG Logistics, 2015). The Kiva Director, (2010) video describe the process that for order picking the orders drop into the station. When the worker signs on to pick and at that point the system send signals out to find all the pods that contain all of the items needs to fill the orders. The worker works on the pods combine a continuous stream so the worker is never starved. There is also a laser pointer at the bin of items to pick. Then it picks and scans it and a light lights up on the station indicating where to place the item. The system is picking multiple items for multiple orders at the same time. In many key installations Pickers pick directly into the shipping carton. So this setup is not exactly typical but it works for quiets order profiles. There’s a good view of the station screen which is giving the pick instructions along with the description and quantity. The pick and pack process is one-step but at quite the high-end packing required us to split the process. People often ask how the robots know where they were to go. One can easily notice on the floor or two by two stickers that actually act as a guide for the robots creating a map of the warehouse. According to the responsible person of BLG Logistic center in Frankfurt, the problems they have in their warehouse the previous time is the special challenge to respond quickly and flexibly to the requirements of the customers, especially in the intralogistics for the picking of orders and for the return handling. The company is always looking for the optimal solution for their customers grenzebach system. They added that after automating the warehouse with G.Com which comparable with Kiva they stated that the company has found innovative logistics solutions that allow the warehouse a high degree of flexibility and versatility in the logistical process based on the basic idea of ??a mobile channel as opposed to conventional. Moreover, BLG company has got the advantages of very quickly income arises. The company can use existing real estate that is difficult to automate, such as in Frankfurt very good use because the shelves fit into a normal room. Height also has the short realization time. In comparison, convinced of the conventional system and so employees were able to start up quickly after the quick and easy installation of the system. The system can be skillfully integrated into the existing system. The integrated process thus we could minimize the implementation time and minimize the conversion for our employees. Similar to G.Com another better-known pioneers of warehouse automation for warehouse distribution centers is Kiva which is widely used by Amazon. Kiva’s machines go under shelves, pick them up and bring them to warehouse staff. When the employee removes the product from the shelf and places it in the shipping container, the robot returns the shelf. Sounds simple, but it is highly complex because the paths and control of the entire system need to be calculated (Kiva Director, 2010). One of the key aspects of G.Com and Kiva system scenarios is the efficient allocation of resources. In order to optimize throughput, it is mandatory to determine which order should be processed at which station and at what time. In both systems, stations with limited buffer capacity are operated by human workers with potentially unlimited time windows. Unlike most assembly line manufacturing systems, the various operational steps in the given systems are not synchronized. However, for optimal throughput, it is necessary to avoid congestion and idle times at stations (Log Dynamics 2014/15).